Hugging Face's logo

LeroyDyer
/
SpydazWebAI_MultiModel_001_Project

Transformers
Safetensors
English
chemistry
biology
code
medical
Inference Endpoints
Model card Files Community
LeroyDyer commited on
Commit
a14f157
•
1 Parent(s): 1f2ab25

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. Image/README.md +50 -0
  2. Image/config.json +179 -0
  3. Image/merges.txt +0 -0
  4. Image/preprocessor_config.json +19 -0
  5. Image/pytorch_model.bin +3 -0
  6. Image/special_tokens_map.json +1 -0
  7. Image/tokenizer.json +0 -0
  8. Image/tokenizer_config.json +1 -0
  9. Image/vocab.json +0 -0
  10. Multi/README.md +188 -0
  11. Multi/adapter_config.json +31 -0
  12. Multi/adapter_model.safetensors +3 -0
  13. Multi/config.json +63 -0
  14. Multi/generation_config.json +6 -0
  15. Multi/model_named_parameters.txt +779 -0
  16. Multi/non_lora_trainables.bin +3 -0
  17. Multi/trainer_state.json +0 -0
  18. README.md +14 -0
  19. Sound/README.md +242 -0
  20. Sound/added_tokens.json +1609 -0
  21. Sound/config.json +138 -0
  22. Sound/generation_config.json +189 -0
  23. Sound/merges.txt +0 -0
  24. Sound/model.safetensors +3 -0
  25. Sound/normalizer.json +1742 -0
  26. Sound/preprocessor_config.json +0 -0
  27. Sound/special_tokens_map.json +120 -0
  28. Sound/tokenizer.json +0 -0
  29. Sound/tokenizer_config.json +35 -0
  30. Sound/vocab.json +0 -0
  31. Video/.gitattributes +32 -0
  32. Video/README.md +61 -0
  33. Video/config.json +175 -0
  34. Video/merges.txt +0 -0
  35. Video/model.safetensors +3 -0
  36. Video/preprocessor_config.json +19 -0
  37. Video/pytorch_model.bin +3 -0
  38. Video/special_tokens_map.json +24 -0
  39. Video/tokenizer.json +0 -0
  40. Video/tokenizer_config.json +35 -0
  41. Video/vocab.json +0 -0
  42. config.json +434 -0
  43. model-00001-of-00008.safetensors +3 -0
  44. model-00002-of-00008.safetensors +3 -0
  45. model-00003-of-00008.safetensors +3 -0
  46. model-00004-of-00008.safetensors +3 -0
  47. model-00005-of-00008.safetensors +3 -0
  48. model-00006-of-00008.safetensors +3 -0
  49. model-00007-of-00008.safetensors +3 -0
  50. model-00008-of-00008.safetensors +3 -0
Image/README.md ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_keras_callback
4
+ widget:
5
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
6
+ candidate_labels: playing music, playing sports
7
+ example_title: Cat & Dog
8
+ model-index:
9
+ - name: clip-vit-large-patch14-336
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
14
+ probably proofread and complete it, then remove this comment. -->
15
+
16
+ # clip-vit-large-patch14-336
17
+
18
+ This model was trained from scratch on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - optimizer: None
40
+ - training_precision: float32
41
+
42
+ ### Training results
43
+
44
+
45
+
46
+ ### Framework versions
47
+
48
+ - Transformers 4.21.3
49
+ - TensorFlow 2.8.2
50
+ - Tokenizers 0.12.1
Image/config.json ADDED
@@ -0,0 +1,179 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "LeroyDyer/Mixtral_AI_Multi_Input_Model/Image",
3
+ "architectures": [
4
+ "CLIPModel"
5
+ ],
6
+ "initializer_factor": 1.0,
7
+ "logit_scale_init_value": 2.6592,
8
+ "model_type": "clip",
9
+ "projection_dim": 768,
10
+ "text_config": {
11
+ "_name_or_path": "",
12
+ "add_cross_attention": false,
13
+ "architectures": null,
14
+ "attention_dropout": 0.0,
15
+ "bad_words_ids": null,
16
+ "bos_token_id": 0,
17
+ "chunk_size_feed_forward": 0,
18
+ "cross_attention_hidden_size": null,
19
+ "decoder_start_token_id": null,
20
+ "diversity_penalty": 0.0,
21
+ "do_sample": false,
22
+ "dropout": 0.0,
23
+ "early_stopping": false,
24
+ "encoder_no_repeat_ngram_size": 0,
25
+ "eos_token_id": 2,
26
+ "exponential_decay_length_penalty": null,
27
+ "finetuning_task": null,
28
+ "forced_bos_token_id": null,
29
+ "forced_eos_token_id": null,
30
+ "hidden_act": "quick_gelu",
31
+ "hidden_size": 768,
32
+ "id2label": {
33
+ "0": "LABEL_0",
34
+ "1": "LABEL_1"
35
+ },
36
+ "initializer_factor": 1.0,
37
+ "initializer_range": 0.02,
38
+ "intermediate_size": 3072,
39
+ "is_decoder": false,
40
+ "is_encoder_decoder": false,
41
+ "label2id": {
42
+ "LABEL_0": 0,
43
+ "LABEL_1": 1
44
+ },
45
+ "layer_norm_eps": 1e-05,
46
+ "length_penalty": 1.0,
47
+ "max_length": 20,
48
+ "max_position_embeddings": 77,
49
+ "min_length": 0,
50
+ "model_type": "clip_text_model",
51
+ "no_repeat_ngram_size": 0,
52
+ "num_attention_heads": 12,
53
+ "num_beam_groups": 1,
54
+ "num_beams": 1,
55
+ "num_hidden_layers": 12,
56
+ "num_return_sequences": 1,
57
+ "output_attentions": false,
58
+ "output_hidden_states": false,
59
+ "output_scores": false,
60
+ "pad_token_id": 1,
61
+ "prefix": null,
62
+ "problem_type": null,
63
+ "projection_dim": 768,
64
+ "pruned_heads": {},
65
+ "remove_invalid_values": false,
66
+ "repetition_penalty": 1.0,
67
+ "return_dict": true,
68
+ "return_dict_in_generate": false,
69
+ "sep_token_id": null,
70
+ "task_specific_params": null,
71
+ "temperature": 1.0,
72
+ "tf_legacy_loss": false,
73
+ "tie_encoder_decoder": false,
74
+ "tie_word_embeddings": true,
75
+ "tokenizer_class": null,
76
+ "top_k": 50,
77
+ "top_p": 1.0,
78
+ "torch_dtype": null,
79
+ "torchscript": false,
80
+ "transformers_version": "4.21.3",
81
+ "typical_p": 1.0,
82
+ "use_bfloat16": false,
83
+ "vocab_size": 49408
84
+ },
85
+ "text_config_dict": {
86
+ "hidden_size": 768,
87
+ "intermediate_size": 3072,
88
+ "num_attention_heads": 12,
89
+ "num_hidden_layers": 12,
90
+ "projection_dim": 768
91
+ },
92
+ "torch_dtype": "float32",
93
+ "transformers_version": null,
94
+ "vision_config": {
95
+ "_name_or_path": "",
96
+ "add_cross_attention": false,
97
+ "architectures": null,
98
+ "attention_dropout": 0.0,
99
+ "bad_words_ids": null,
100
+ "bos_token_id": null,
101
+ "chunk_size_feed_forward": 0,
102
+ "cross_attention_hidden_size": null,
103
+ "decoder_start_token_id": null,
104
+ "diversity_penalty": 0.0,
105
+ "do_sample": false,
106
+ "dropout": 0.0,
107
+ "early_stopping": false,
108
+ "encoder_no_repeat_ngram_size": 0,
109
+ "eos_token_id": null,
110
+ "exponential_decay_length_penalty": null,
111
+ "finetuning_task": null,
112
+ "forced_bos_token_id": null,
113
+ "forced_eos_token_id": null,
114
+ "hidden_act": "quick_gelu",
115
+ "hidden_size": 1024,
116
+ "id2label": {
117
+ "0": "LABEL_0",
118
+ "1": "LABEL_1"
119
+ },
120
+ "image_size": 336,
121
+ "initializer_factor": 1.0,
122
+ "initializer_range": 0.02,
123
+ "intermediate_size": 4096,
124
+ "is_decoder": false,
125
+ "is_encoder_decoder": false,
126
+ "label2id": {
127
+ "LABEL_0": 0,
128
+ "LABEL_1": 1
129
+ },
130
+ "layer_norm_eps": 1e-05,
131
+ "length_penalty": 1.0,
132
+ "max_length": 20,
133
+ "min_length": 0,
134
+ "model_type": "clip_vision_model",
135
+ "no_repeat_ngram_size": 0,
136
+ "num_attention_heads": 16,
137
+ "num_beam_groups": 1,
138
+ "num_beams": 1,
139
+ "num_channels": 3,
140
+ "num_hidden_layers": 24,
141
+ "num_return_sequences": 1,
142
+ "output_attentions": false,
143
+ "output_hidden_states": false,
144
+ "output_scores": false,
145
+ "pad_token_id": null,
146
+ "patch_size": 14,
147
+ "prefix": null,
148
+ "problem_type": null,
149
+ "projection_dim": 768,
150
+ "pruned_heads": {},
151
+ "remove_invalid_values": false,
152
+ "repetition_penalty": 1.0,
153
+ "return_dict": true,
154
+ "return_dict_in_generate": false,
155
+ "sep_token_id": null,
156
+ "task_specific_params": null,
157
+ "temperature": 1.0,
158
+ "tf_legacy_loss": false,
159
+ "tie_encoder_decoder": false,
160
+ "tie_word_embeddings": true,
161
+ "tokenizer_class": null,
162
+ "top_k": 50,
163
+ "top_p": 1.0,
164
+ "torch_dtype": null,
165
+ "torchscript": false,
166
+ "transformers_version": "4.21.3",
167
+ "typical_p": 1.0,
168
+ "use_bfloat16": false
169
+ },
170
+ "vision_config_dict": {
171
+ "hidden_size": 1024,
172
+ "image_size": 336,
173
+ "intermediate_size": 4096,
174
+ "num_attention_heads": 16,
175
+ "num_hidden_layers": 24,
176
+ "patch_size": 14,
177
+ "projection_dim": 768
178
+ }
179
+ }
Image/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
Image/preprocessor_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": 336,
3
+ "do_center_crop": true,
4
+ "do_normalize": true,
5
+ "do_resize": true,
6
+ "feature_extractor_type": "CLIPFeatureExtractor",
7
+ "image_mean": [
8
+ 0.48145466,
9
+ 0.4578275,
10
+ 0.40821073
11
+ ],
12
+ "image_std": [
13
+ 0.26862954,
14
+ 0.26130258,
15
+ 0.27577711
16
+ ],
17
+ "resample": 3,
18
+ "size": 336
19
+ }
Image/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6032c2e0caae3dc2d4fba35535fa6307dbb49df59c7e182b1bc4b3329b81801
3
+ size 1711974081
Image/special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": {"content": "<|startoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": "<|endoftext|>"}
Image/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
Image/tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|startoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": "<|endoftext|>", "add_prefix_space": false, "errors": "replace", "do_lower_case": true, "name_or_path": "openai/clip-vit-base-patch32", "model_max_length": 77, "special_tokens_map_file": "/home/suraj/.cache/huggingface/transformers/18a566598f286c9139f88160c99f84eec492a26bd22738fa9cb44d5b7e0a5c76.cce1206abbad28826f000510f22f354e53e66a97f7c23745a7dfe27609cc07f5", "tokenizer_class": "CLIPTokenizer"}
Image/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
Multi/README.md ADDED
@@ -0,0 +1,188 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ library_name: peft
4
+ tags:
5
+ - finetuned
6
+ - multimodal
7
+ - llava
8
+ base_model: LeroyDyer/Mixtral_AI_Cyber_1.0
9
+ dataset: sshh12/llava-gpt-multi-image-and-llava-finetune-merged
10
+ inference: false
11
+ pipeline_tag: image-text-to-text
12
+ datasets:
13
+ - sshh12/llava-gpt-multi-image-finetune
14
+ ---
15
+
16
+ THIS MODEL IS NOT TRAINED YET FOR IMAGES ETC YET. (IT WILL BE LLAVA I EXPECT. But Also the MULTI INPUT NEEDS TO BE TRAINED)
17
+
18
+
19
+
20
+
21
+
22
+
23
+ These are weights for a version of `mistralai/Mistral-7B-Instruct-v0.1` finetuned for multimodal applications.
24
+
25
+ ### Modalities
26
+
27
+ * CLIPVisionModality (use `<image>` in text and provide `images`, encoded as 10 tokens)
28
+
29
+ ### Usage
30
+
31
+ GitHub: https://github.com/sshh12/multi_token (includes training scripts and basic inference server)
32
+
33
+ ### Dataset
34
+
35
+ sshh12/llava-gpt-multi-image-and-llava-finetune-merged (744610 examples)
36
+
37
+ ```
38
+ {'images': ['/data/llava_finetune_data/images/coco/train2017/train2017/000000499538.jpg'], 'messages': [{'content': '<image>\nWhat is the name of the book?\nAnswer the question using a single word or phrase.', 'role': 'user'}, {'content': 'World changing', 'role': 'assistant'}, {'content': 'What color is the bird?', 'role': 'user'}, {'content': 'Red', 'role': 'assistant'}, {'content': 'What type of bird is this?', 'role': 'user'}, {'content': 'Robin', 'role': 'assistant'}], 'id': '000000499538'}
39
+ ```
40
+
41
+ ### Training Device(s)
42
+
43
+ ```
44
+ name, pci.bus_id, vbios_version
45
+ NVIDIA RTX A6000, 00000000:02:00.0, 94.02.5C.00.02
46
+ ```
47
+
48
+
49
+ ### Model
50
+
51
+ ```
52
+ MistralLMMForCausalLM.model =
53
+
54
+ PeftModelForCausalLM(
55
+ (base_model): LoraModel(
56
+ (model): MistralLMMForCausalLM(
57
+ (model): MistralLMMModel(
58
+ (embed_tokens): Embedding(32000, 4096)
59
+ (layers): ModuleList(
60
+ (0-31): 32 x MistralDecoderLayer(
61
+ (self_attn): MistralAttention(
62
+ (q_proj): lora.Linear(
63
+ (base_layer): Linear(in_features=4096, out_features=4096, bias=False)
64
+ (lora_dropout): ModuleDict(
65
+ (default): Dropout(p=0.05, inplace=False)
66
+ )
67
+ (lora_A): ModuleDict(
68
+ (default): Linear(in_features=4096, out_features=64, bias=False)
69
+ )
70
+ (lora_B): ModuleDict(
71
+ (default): Linear(in_features=64, out_features=4096, bias=False)
72
+ )
73
+ (lora_embedding_A): ParameterDict()
74
+ (lora_embedding_B): ParameterDict()
75
+ )
76
+ (k_proj): lora.Linear(
77
+ (base_layer): Linear(in_features=4096, out_features=1024, bias=False)
78
+ (lora_dropout): ModuleDict(
79
+ (default): Dropout(p=0.05, inplace=False)
80
+ )
81
+ (lora_A): ModuleDict(
82
+ (default): Linear(in_features=4096, out_features=64, bias=False)
83
+ )
84
+ (lora_B): ModuleDict(
85
+ (default): Linear(in_features=64, out_features=1024, bias=False)
86
+ )
87
+ (lora_embedding_A): ParameterDict()
88
+ (lora_embedding_B): ParameterDict()
89
+ )
90
+ (v_proj): lora.Linear(
91
+ (base_layer): Linear(in_features=4096, out_features=1024, bias=False)
92
+ (lora_dropout): ModuleDict(
93
+ (default): Dropout(p=0.05, inplace=False)
94
+ )
95
+ (lora_A): ModuleDict(
96
+ (default): Linear(in_features=4096, out_features=64, bias=False)
97
+ )
98
+ (lora_B): ModuleDict(
99
+ (default): Linear(in_features=64, out_features=1024, bias=False)
100
+ )
101
+ (lora_embedding_A): ParameterDict()
102
+ (lora_embedding_B): ParameterDict()
103
+ )
104
+ (o_proj): lora.Linear(
105
+ (base_layer): Linear(in_features=4096, out_features=4096, bias=False)
106
+ (lora_dropout): ModuleDict(
107
+ (default): Dropout(p=0.05, inplace=False)
108
+ )
109
+ (lora_A): ModuleDict(
110
+ (default): Linear(in_features=4096, out_features=64, bias=False)
111
+ )
112
+ (lora_B): ModuleDict(
113
+ (default): Linear(in_features=64, out_features=4096, bias=False)
114
+ )
115
+ (lora_embedding_A): ParameterDict()
116
+ (lora_embedding_B): ParameterDict()
117
+ )
118
+ (rotary_emb): MistralRotaryEmbedding()
119
+ )
120
+ (mlp): MistralMLP(
121
+ (gate_proj): lora.Linear(
122
+ (base_layer): Linear(in_features=4096, out_features=14336, bias=False)
123
+ (lora_dropout): ModuleDict(
124
+ (default): Dropout(p=0.05, inplace=False)
125
+ )
126
+ (lora_A): ModuleDict(
127
+ (default): Linear(in_features=4096, out_features=64, bias=False)
128
+ )
129
+ (lora_B): ModuleDict(
130
+ (default): Linear(in_features=64, out_features=14336, bias=False)
131
+ )
132
+ (lora_embedding_A): ParameterDict()
133
+ (lora_embedding_B): ParameterDict()
134
+ )
135
+ (up_proj): lora.Linear(
136
+ (base_layer): Linear(in_features=4096, out_features=14336, bias=False)
137
+ (lora_dropout): ModuleDict(
138
+ (default): Dropout(p=0.05, inplace=False)
139
+ )
140
+ (lora_A): ModuleDict(
141
+ (default): Linear(in_features=4096, out_features=64, bias=False)
142
+ )
143
+ (lora_B): ModuleDict(
144
+ (default): Linear(in_features=64, out_features=14336, bias=False)
145
+ )
146
+ (lora_embedding_A): ParameterDict()
147
+ (lora_embedding_B): ParameterDict()
148
+ )
149
+ (down_proj): lora.Linear(
150
+ (base_layer): Linear(in_features=14336, out_features=4096, bias=False)
151
+ (lora_dropout): ModuleDict(
152
+ (default): Dropout(p=0.05, inplace=False)
153
+ )
154
+ (lora_A): ModuleDict(
155
+ (default): Linear(in_features=14336, out_features=64, bias=False)
156
+ )
157
+ (lora_B): ModuleDict(
158
+ (default): Linear(in_features=64, out_features=4096, bias=False)
159
+ )
160
+ (lora_embedding_A): ParameterDict()
161
+ (lora_embedding_B): ParameterDict()
162
+ )
163
+ (act_fn): SiLUActivation()
164
+ )
165
+ (input_layernorm): MistralRMSNorm()
166
+ (post_attention_layernorm): MistralRMSNorm()
167
+ )
168
+ )
169
+ (norm): MistralRMSNorm()
170
+ (vision_clip_lmm_projector): _MLPVectorProjector(
171
+ (mlps): ModuleList(
172
+ (0-9): 10 x Sequential(
173
+ (0): Linear(in_features=1024, out_features=4096, bias=True)
174
+ (1): GELU(approximate='none')
175
+ (2): Linear(in_features=4096, out_features=4096, bias=True)
176
+ )
177
+ )
178
+ )
179
+ )
180
+ (lm_head): Linear(in_features=4096, out_features=32000, bias=False)
181
+ )
182
+ )
183
+ )
184
+ ```
185
+
186
+ ### Framework versions
187
+
188
+ - PEFT 0.7.0
Multi/adapter_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "LeroyDyer/Mixtral_AI_Multi_Input_Model/Text",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 64,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "down_proj",
23
+ "q_proj",
24
+ "gate_proj",
25
+ "k_proj",
26
+ "v_proj",
27
+ "o_proj",
28
+ "up_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM"
31
+ }
Multi/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:879c078b7102c3d81d6e2b344eeb5ef72867a0ad00d3d6d7dd884f2259a161a5
3
+ size 335605144
Multi/config.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "LlavaNextForConditionalGeneration"
4
+ ],
5
+ "ignore_index": -100,
6
+ "image_grid_pinpoints": [
7
+ [
8
+ 336,
9
+ 672
10
+ ],
11
+ [
12
+ 672,
13
+ 336
14
+ ],
15
+ [
16
+ 672,
17
+ 672
18
+ ],
19
+ [
20
+ 1008,
21
+ 336
22
+ ],
23
+ [
24
+ 336,
25
+ 1008
26
+ ]
27
+ ],
28
+ "image_token_index": 32000,
29
+ "model_type": "llava_next",
30
+ "projector_hidden_act": "gelu",
31
+ "text_config": {
32
+ "_name_or_path": "LeroyDyer/Mixtral_AI_Multi_Input_Model/Text",
33
+ "architectures": [
34
+ "MistralForCausalLM"
35
+ ],
36
+ "intermediate_size": 14336,
37
+ "max_position_embeddings": 32768,
38
+ "model_type": "mistral",
39
+ "num_key_value_heads": 8,
40
+ "rms_norm_eps": 1e-05,
41
+ "rope_theta": 1000000.0,
42
+ "sliding_window": null,
43
+ "torch_dtype": "bfloat16",
44
+ "vocab_size": 32064
45
+ },
46
+ "torch_dtype": "float16",
47
+ "transformers_version": "4.39.0.dev0",
48
+ "use_image_newline_parameter": true,
49
+ "vision_config": {
50
+ "hidden_size": 1024,
51
+ "image_size": 336,
52
+ "intermediate_size": 4096,
53
+ "model_type": "clip_vision_model",
54
+ "num_attention_heads": 16,
55
+ "num_hidden_layers": 24,
56
+ "patch_size": 14,
57
+ "projection_dim": 768,
58
+ "vocab_size": 32000
59
+ },
60
+ "vision_feature_layer": -2,
61
+ "vision_feature_select_strategy": "default",
62
+ "vocab_size": 32064
63
+ }
Multi/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.36.0"
6
+ }
Multi/model_named_parameters.txt ADDED
@@ -0,0 +1,779 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ base_model.model.model.embed_tokens.weight torch.Size([32000, 4096]) False
2
+ base_model.model.model.layers.0.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
3
+ base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
4
+ base_model.model.model.layers.0.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
5
+ base_model.model.model.layers.0.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
6
+ base_model.model.model.layers.0.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
7
+ base_model.model.model.layers.0.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
8
+ base_model.model.model.layers.0.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
9
+ base_model.model.model.layers.0.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
10
+ base_model.model.model.layers.0.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
11
+ base_model.model.model.layers.0.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
12
+ base_model.model.model.layers.0.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
13
+ base_model.model.model.layers.0.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
14
+ base_model.model.model.layers.0.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
15
+ base_model.model.model.layers.0.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
16
+ base_model.model.model.layers.0.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
17
+ base_model.model.model.layers.0.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
18
+ base_model.model.model.layers.0.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
19
+ base_model.model.model.layers.0.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
20
+ base_model.model.model.layers.0.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
21
+ base_model.model.model.layers.0.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
22
+ base_model.model.model.layers.0.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
23
+ base_model.model.model.layers.0.input_layernorm.weight torch.Size([4096]) False
24
+ base_model.model.model.layers.0.post_attention_layernorm.weight torch.Size([4096]) False
25
+ base_model.model.model.layers.1.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
26
+ base_model.model.model.layers.1.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
27
+ base_model.model.model.layers.1.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
28
+ base_model.model.model.layers.1.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
29
+ base_model.model.model.layers.1.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
30
+ base_model.model.model.layers.1.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
31
+ base_model.model.model.layers.1.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
32
+ base_model.model.model.layers.1.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
33
+ base_model.model.model.layers.1.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
34
+ base_model.model.model.layers.1.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
35
+ base_model.model.model.layers.1.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
36
+ base_model.model.model.layers.1.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
37
+ base_model.model.model.layers.1.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
38
+ base_model.model.model.layers.1.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
39
+ base_model.model.model.layers.1.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
40
+ base_model.model.model.layers.1.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
41
+ base_model.model.model.layers.1.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
42
+ base_model.model.model.layers.1.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
43
+ base_model.model.model.layers.1.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
44
+ base_model.model.model.layers.1.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
45
+ base_model.model.model.layers.1.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
46
+ base_model.model.model.layers.1.input_layernorm.weight torch.Size([4096]) False
47
+ base_model.model.model.layers.1.post_attention_layernorm.weight torch.Size([4096]) False
48
+ base_model.model.model.layers.2.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
49
+ base_model.model.model.layers.2.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
50
+ base_model.model.model.layers.2.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
51
+ base_model.model.model.layers.2.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
52
+ base_model.model.model.layers.2.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
53
+ base_model.model.model.layers.2.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
54
+ base_model.model.model.layers.2.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
55
+ base_model.model.model.layers.2.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
56
+ base_model.model.model.layers.2.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
57
+ base_model.model.model.layers.2.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
58
+ base_model.model.model.layers.2.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
59
+ base_model.model.model.layers.2.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
60
+ base_model.model.model.layers.2.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
61
+ base_model.model.model.layers.2.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
62
+ base_model.model.model.layers.2.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
63
+ base_model.model.model.layers.2.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
64
+ base_model.model.model.layers.2.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
65
+ base_model.model.model.layers.2.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
66
+ base_model.model.model.layers.2.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
67
+ base_model.model.model.layers.2.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
68
+ base_model.model.model.layers.2.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
69
+ base_model.model.model.layers.2.input_layernorm.weight torch.Size([4096]) False
70
+ base_model.model.model.layers.2.post_attention_layernorm.weight torch.Size([4096]) False
71
+ base_model.model.model.layers.3.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
72
+ base_model.model.model.layers.3.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
73
+ base_model.model.model.layers.3.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
74
+ base_model.model.model.layers.3.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
75
+ base_model.model.model.layers.3.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
76
+ base_model.model.model.layers.3.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
77
+ base_model.model.model.layers.3.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
78
+ base_model.model.model.layers.3.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
79
+ base_model.model.model.layers.3.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
80
+ base_model.model.model.layers.3.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
81
+ base_model.model.model.layers.3.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
82
+ base_model.model.model.layers.3.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
83
+ base_model.model.model.layers.3.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
84
+ base_model.model.model.layers.3.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
85
+ base_model.model.model.layers.3.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
86
+ base_model.model.model.layers.3.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
87
+ base_model.model.model.layers.3.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
88
+ base_model.model.model.layers.3.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
89
+ base_model.model.model.layers.3.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
90
+ base_model.model.model.layers.3.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
91
+ base_model.model.model.layers.3.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
92
+ base_model.model.model.layers.3.input_layernorm.weight torch.Size([4096]) False
93
+ base_model.model.model.layers.3.post_attention_layernorm.weight torch.Size([4096]) False
94
+ base_model.model.model.layers.4.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
95
+ base_model.model.model.layers.4.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
96
+ base_model.model.model.layers.4.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
97
+ base_model.model.model.layers.4.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
98
+ base_model.model.model.layers.4.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
99
+ base_model.model.model.layers.4.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
100
+ base_model.model.model.layers.4.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
101
+ base_model.model.model.layers.4.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
102
+ base_model.model.model.layers.4.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
103
+ base_model.model.model.layers.4.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
104
+ base_model.model.model.layers.4.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
105
+ base_model.model.model.layers.4.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
106
+ base_model.model.model.layers.4.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
107
+ base_model.model.model.layers.4.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
108
+ base_model.model.model.layers.4.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
109
+ base_model.model.model.layers.4.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
110
+ base_model.model.model.layers.4.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
111
+ base_model.model.model.layers.4.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
112
+ base_model.model.model.layers.4.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
113
+ base_model.model.model.layers.4.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
114
+ base_model.model.model.layers.4.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
115
+ base_model.model.model.layers.4.input_layernorm.weight torch.Size([4096]) False
116
+ base_model.model.model.layers.4.post_attention_layernorm.weight torch.Size([4096]) False
117
+ base_model.model.model.layers.5.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
118
+ base_model.model.model.layers.5.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
119
+ base_model.model.model.layers.5.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
120
+ base_model.model.model.layers.5.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
121
+ base_model.model.model.layers.5.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
122
+ base_model.model.model.layers.5.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
123
+ base_model.model.model.layers.5.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
124
+ base_model.model.model.layers.5.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
125
+ base_model.model.model.layers.5.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
126
+ base_model.model.model.layers.5.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
127
+ base_model.model.model.layers.5.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
128
+ base_model.model.model.layers.5.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
129
+ base_model.model.model.layers.5.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
130
+ base_model.model.model.layers.5.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
131
+ base_model.model.model.layers.5.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
132
+ base_model.model.model.layers.5.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
133
+ base_model.model.model.layers.5.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
134
+ base_model.model.model.layers.5.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
135
+ base_model.model.model.layers.5.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
136
+ base_model.model.model.layers.5.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
137
+ base_model.model.model.layers.5.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
138
+ base_model.model.model.layers.5.input_layernorm.weight torch.Size([4096]) False
139
+ base_model.model.model.layers.5.post_attention_layernorm.weight torch.Size([4096]) False
140
+ base_model.model.model.layers.6.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
141
+ base_model.model.model.layers.6.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
142
+ base_model.model.model.layers.6.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
143
+ base_model.model.model.layers.6.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
144
+ base_model.model.model.layers.6.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
145
+ base_model.model.model.layers.6.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
146
+ base_model.model.model.layers.6.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
147
+ base_model.model.model.layers.6.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
148
+ base_model.model.model.layers.6.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
149
+ base_model.model.model.layers.6.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
150
+ base_model.model.model.layers.6.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
151
+ base_model.model.model.layers.6.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
152
+ base_model.model.model.layers.6.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
153
+ base_model.model.model.layers.6.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
154
+ base_model.model.model.layers.6.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
155
+ base_model.model.model.layers.6.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
156
+ base_model.model.model.layers.6.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
157
+ base_model.model.model.layers.6.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
158
+ base_model.model.model.layers.6.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
159
+ base_model.model.model.layers.6.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
160
+ base_model.model.model.layers.6.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
161
+ base_model.model.model.layers.6.input_layernorm.weight torch.Size([4096]) False
162
+ base_model.model.model.layers.6.post_attention_layernorm.weight torch.Size([4096]) False
163
+ base_model.model.model.layers.7.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
164
+ base_model.model.model.layers.7.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
165
+ base_model.model.model.layers.7.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
166
+ base_model.model.model.layers.7.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
167
+ base_model.model.model.layers.7.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
168
+ base_model.model.model.layers.7.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
169
+ base_model.model.model.layers.7.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
170
+ base_model.model.model.layers.7.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
171
+ base_model.model.model.layers.7.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
172
+ base_model.model.model.layers.7.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
173
+ base_model.model.model.layers.7.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
174
+ base_model.model.model.layers.7.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
175
+ base_model.model.model.layers.7.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
176
+ base_model.model.model.layers.7.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
177
+ base_model.model.model.layers.7.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
178
+ base_model.model.model.layers.7.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
179
+ base_model.model.model.layers.7.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
180
+ base_model.model.model.layers.7.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
181
+ base_model.model.model.layers.7.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
182
+ base_model.model.model.layers.7.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
183
+ base_model.model.model.layers.7.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
184
+ base_model.model.model.layers.7.input_layernorm.weight torch.Size([4096]) False
185
+ base_model.model.model.layers.7.post_attention_layernorm.weight torch.Size([4096]) False
186
+ base_model.model.model.layers.8.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
187
+ base_model.model.model.layers.8.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
188
+ base_model.model.model.layers.8.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
189
+ base_model.model.model.layers.8.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
190
+ base_model.model.model.layers.8.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
191
+ base_model.model.model.layers.8.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
192
+ base_model.model.model.layers.8.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
193
+ base_model.model.model.layers.8.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
194
+ base_model.model.model.layers.8.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
195
+ base_model.model.model.layers.8.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
196
+ base_model.model.model.layers.8.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
197
+ base_model.model.model.layers.8.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
198
+ base_model.model.model.layers.8.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
199
+ base_model.model.model.layers.8.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
200
+ base_model.model.model.layers.8.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
201
+ base_model.model.model.layers.8.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
202
+ base_model.model.model.layers.8.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
203
+ base_model.model.model.layers.8.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
204
+ base_model.model.model.layers.8.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
205
+ base_model.model.model.layers.8.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
206
+ base_model.model.model.layers.8.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
207
+ base_model.model.model.layers.8.input_layernorm.weight torch.Size([4096]) False
208
+ base_model.model.model.layers.8.post_attention_layernorm.weight torch.Size([4096]) False
209
+ base_model.model.model.layers.9.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
210
+ base_model.model.model.layers.9.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
211
+ base_model.model.model.layers.9.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
212
+ base_model.model.model.layers.9.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
213
+ base_model.model.model.layers.9.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
214
+ base_model.model.model.layers.9.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
215
+ base_model.model.model.layers.9.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
216
+ base_model.model.model.layers.9.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
217
+ base_model.model.model.layers.9.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
218
+ base_model.model.model.layers.9.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
219
+ base_model.model.model.layers.9.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
220
+ base_model.model.model.layers.9.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
221
+ base_model.model.model.layers.9.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
222
+ base_model.model.model.layers.9.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
223
+ base_model.model.model.layers.9.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
224
+ base_model.model.model.layers.9.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
225
+ base_model.model.model.layers.9.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
226
+ base_model.model.model.layers.9.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
227
+ base_model.model.model.layers.9.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
228
+ base_model.model.model.layers.9.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
229
+ base_model.model.model.layers.9.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
230
+ base_model.model.model.layers.9.input_layernorm.weight torch.Size([4096]) False
231
+ base_model.model.model.layers.9.post_attention_layernorm.weight torch.Size([4096]) False
232
+ base_model.model.model.layers.10.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
233
+ base_model.model.model.layers.10.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
234
+ base_model.model.model.layers.10.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
235
+ base_model.model.model.layers.10.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
236
+ base_model.model.model.layers.10.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
237
+ base_model.model.model.layers.10.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
238
+ base_model.model.model.layers.10.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
239
+ base_model.model.model.layers.10.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
240
+ base_model.model.model.layers.10.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
241
+ base_model.model.model.layers.10.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
242
+ base_model.model.model.layers.10.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
243
+ base_model.model.model.layers.10.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
244
+ base_model.model.model.layers.10.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
245
+ base_model.model.model.layers.10.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
246
+ base_model.model.model.layers.10.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
247
+ base_model.model.model.layers.10.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
248
+ base_model.model.model.layers.10.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
249
+ base_model.model.model.layers.10.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
250
+ base_model.model.model.layers.10.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
251
+ base_model.model.model.layers.10.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
252
+ base_model.model.model.layers.10.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
253
+ base_model.model.model.layers.10.input_layernorm.weight torch.Size([4096]) False
254
+ base_model.model.model.layers.10.post_attention_layernorm.weight torch.Size([4096]) False
255
+ base_model.model.model.layers.11.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
256
+ base_model.model.model.layers.11.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
257
+ base_model.model.model.layers.11.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
258
+ base_model.model.model.layers.11.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
259
+ base_model.model.model.layers.11.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
260
+ base_model.model.model.layers.11.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
261
+ base_model.model.model.layers.11.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
262
+ base_model.model.model.layers.11.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
263
+ base_model.model.model.layers.11.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
264
+ base_model.model.model.layers.11.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
265
+ base_model.model.model.layers.11.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
266
+ base_model.model.model.layers.11.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
267
+ base_model.model.model.layers.11.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
268
+ base_model.model.model.layers.11.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
269
+ base_model.model.model.layers.11.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
270
+ base_model.model.model.layers.11.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
271
+ base_model.model.model.layers.11.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
272
+ base_model.model.model.layers.11.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
273
+ base_model.model.model.layers.11.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
274
+ base_model.model.model.layers.11.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
275
+ base_model.model.model.layers.11.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
276
+ base_model.model.model.layers.11.input_layernorm.weight torch.Size([4096]) False
277
+ base_model.model.model.layers.11.post_attention_layernorm.weight torch.Size([4096]) False
278
+ base_model.model.model.layers.12.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
279
+ base_model.model.model.layers.12.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
280
+ base_model.model.model.layers.12.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
281
+ base_model.model.model.layers.12.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
282
+ base_model.model.model.layers.12.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
283
+ base_model.model.model.layers.12.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
284
+ base_model.model.model.layers.12.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
285
+ base_model.model.model.layers.12.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
286
+ base_model.model.model.layers.12.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
287
+ base_model.model.model.layers.12.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
288
+ base_model.model.model.layers.12.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
289
+ base_model.model.model.layers.12.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
290
+ base_model.model.model.layers.12.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
291
+ base_model.model.model.layers.12.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
292
+ base_model.model.model.layers.12.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
293
+ base_model.model.model.layers.12.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
294
+ base_model.model.model.layers.12.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
295
+ base_model.model.model.layers.12.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
296
+ base_model.model.model.layers.12.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
297
+ base_model.model.model.layers.12.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
298
+ base_model.model.model.layers.12.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
299
+ base_model.model.model.layers.12.input_layernorm.weight torch.Size([4096]) False
300
+ base_model.model.model.layers.12.post_attention_layernorm.weight torch.Size([4096]) False
301
+ base_model.model.model.layers.13.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
302
+ base_model.model.model.layers.13.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
303
+ base_model.model.model.layers.13.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
304
+ base_model.model.model.layers.13.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
305
+ base_model.model.model.layers.13.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
306
+ base_model.model.model.layers.13.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
307
+ base_model.model.model.layers.13.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
308
+ base_model.model.model.layers.13.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
309
+ base_model.model.model.layers.13.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
310
+ base_model.model.model.layers.13.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
311
+ base_model.model.model.layers.13.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
312
+ base_model.model.model.layers.13.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
313
+ base_model.model.model.layers.13.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
314
+ base_model.model.model.layers.13.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
315
+ base_model.model.model.layers.13.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
316
+ base_model.model.model.layers.13.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
317
+ base_model.model.model.layers.13.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
318
+ base_model.model.model.layers.13.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
319
+ base_model.model.model.layers.13.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
320
+ base_model.model.model.layers.13.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
321
+ base_model.model.model.layers.13.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
322
+ base_model.model.model.layers.13.input_layernorm.weight torch.Size([4096]) False
323
+ base_model.model.model.layers.13.post_attention_layernorm.weight torch.Size([4096]) False
324
+ base_model.model.model.layers.14.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
325
+ base_model.model.model.layers.14.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
326
+ base_model.model.model.layers.14.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
327
+ base_model.model.model.layers.14.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
328
+ base_model.model.model.layers.14.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
329
+ base_model.model.model.layers.14.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
330
+ base_model.model.model.layers.14.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
331
+ base_model.model.model.layers.14.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
332
+ base_model.model.model.layers.14.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
333
+ base_model.model.model.layers.14.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
334
+ base_model.model.model.layers.14.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
335
+ base_model.model.model.layers.14.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
336
+ base_model.model.model.layers.14.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
337
+ base_model.model.model.layers.14.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
338
+ base_model.model.model.layers.14.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
339
+ base_model.model.model.layers.14.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
340
+ base_model.model.model.layers.14.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
341
+ base_model.model.model.layers.14.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
342
+ base_model.model.model.layers.14.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
343
+ base_model.model.model.layers.14.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
344
+ base_model.model.model.layers.14.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
345
+ base_model.model.model.layers.14.input_layernorm.weight torch.Size([4096]) False
346
+ base_model.model.model.layers.14.post_attention_layernorm.weight torch.Size([4096]) False
347
+ base_model.model.model.layers.15.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
348
+ base_model.model.model.layers.15.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
349
+ base_model.model.model.layers.15.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
350
+ base_model.model.model.layers.15.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
351
+ base_model.model.model.layers.15.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
352
+ base_model.model.model.layers.15.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
353
+ base_model.model.model.layers.15.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
354
+ base_model.model.model.layers.15.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
355
+ base_model.model.model.layers.15.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
356
+ base_model.model.model.layers.15.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
357
+ base_model.model.model.layers.15.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
358
+ base_model.model.model.layers.15.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
359
+ base_model.model.model.layers.15.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
360
+ base_model.model.model.layers.15.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
361
+ base_model.model.model.layers.15.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
362
+ base_model.model.model.layers.15.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
363
+ base_model.model.model.layers.15.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
364
+ base_model.model.model.layers.15.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
365
+ base_model.model.model.layers.15.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
366
+ base_model.model.model.layers.15.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
367
+ base_model.model.model.layers.15.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
368
+ base_model.model.model.layers.15.input_layernorm.weight torch.Size([4096]) False
369
+ base_model.model.model.layers.15.post_attention_layernorm.weight torch.Size([4096]) False
370
+ base_model.model.model.layers.16.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
371
+ base_model.model.model.layers.16.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
372
+ base_model.model.model.layers.16.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
373
+ base_model.model.model.layers.16.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
374
+ base_model.model.model.layers.16.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
375
+ base_model.model.model.layers.16.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
376
+ base_model.model.model.layers.16.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
377
+ base_model.model.model.layers.16.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
378
+ base_model.model.model.layers.16.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
379
+ base_model.model.model.layers.16.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
380
+ base_model.model.model.layers.16.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
381
+ base_model.model.model.layers.16.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
382
+ base_model.model.model.layers.16.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
383
+ base_model.model.model.layers.16.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
384
+ base_model.model.model.layers.16.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
385
+ base_model.model.model.layers.16.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
386
+ base_model.model.model.layers.16.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
387
+ base_model.model.model.layers.16.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
388
+ base_model.model.model.layers.16.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
389
+ base_model.model.model.layers.16.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
390
+ base_model.model.model.layers.16.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
391
+ base_model.model.model.layers.16.input_layernorm.weight torch.Size([4096]) False
392
+ base_model.model.model.layers.16.post_attention_layernorm.weight torch.Size([4096]) False
393
+ base_model.model.model.layers.17.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
394
+ base_model.model.model.layers.17.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
395
+ base_model.model.model.layers.17.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
396
+ base_model.model.model.layers.17.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
397
+ base_model.model.model.layers.17.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
398
+ base_model.model.model.layers.17.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
399
+ base_model.model.model.layers.17.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
400
+ base_model.model.model.layers.17.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
401
+ base_model.model.model.layers.17.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
402
+ base_model.model.model.layers.17.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
403
+ base_model.model.model.layers.17.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
404
+ base_model.model.model.layers.17.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
405
+ base_model.model.model.layers.17.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
406
+ base_model.model.model.layers.17.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
407
+ base_model.model.model.layers.17.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
408
+ base_model.model.model.layers.17.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
409
+ base_model.model.model.layers.17.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
410
+ base_model.model.model.layers.17.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
411
+ base_model.model.model.layers.17.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
412
+ base_model.model.model.layers.17.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
413
+ base_model.model.model.layers.17.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
414
+ base_model.model.model.layers.17.input_layernorm.weight torch.Size([4096]) False
415
+ base_model.model.model.layers.17.post_attention_layernorm.weight torch.Size([4096]) False
416
+ base_model.model.model.layers.18.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
417
+ base_model.model.model.layers.18.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
418
+ base_model.model.model.layers.18.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
419
+ base_model.model.model.layers.18.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
420
+ base_model.model.model.layers.18.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
421
+ base_model.model.model.layers.18.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
422
+ base_model.model.model.layers.18.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
423
+ base_model.model.model.layers.18.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
424
+ base_model.model.model.layers.18.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
425
+ base_model.model.model.layers.18.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
426
+ base_model.model.model.layers.18.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
427
+ base_model.model.model.layers.18.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
428
+ base_model.model.model.layers.18.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
429
+ base_model.model.model.layers.18.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
430
+ base_model.model.model.layers.18.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
431
+ base_model.model.model.layers.18.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
432
+ base_model.model.model.layers.18.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
433
+ base_model.model.model.layers.18.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
434
+ base_model.model.model.layers.18.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
435
+ base_model.model.model.layers.18.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
436
+ base_model.model.model.layers.18.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
437
+ base_model.model.model.layers.18.input_layernorm.weight torch.Size([4096]) False
438
+ base_model.model.model.layers.18.post_attention_layernorm.weight torch.Size([4096]) False
439
+ base_model.model.model.layers.19.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
440
+ base_model.model.model.layers.19.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
441
+ base_model.model.model.layers.19.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
442
+ base_model.model.model.layers.19.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
443
+ base_model.model.model.layers.19.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
444
+ base_model.model.model.layers.19.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
445
+ base_model.model.model.layers.19.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
446
+ base_model.model.model.layers.19.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
447
+ base_model.model.model.layers.19.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
448
+ base_model.model.model.layers.19.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
449
+ base_model.model.model.layers.19.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
450
+ base_model.model.model.layers.19.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
451
+ base_model.model.model.layers.19.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
452
+ base_model.model.model.layers.19.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
453
+ base_model.model.model.layers.19.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
454
+ base_model.model.model.layers.19.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
455
+ base_model.model.model.layers.19.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
456
+ base_model.model.model.layers.19.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
457
+ base_model.model.model.layers.19.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
458
+ base_model.model.model.layers.19.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
459
+ base_model.model.model.layers.19.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
460
+ base_model.model.model.layers.19.input_layernorm.weight torch.Size([4096]) False
461
+ base_model.model.model.layers.19.post_attention_layernorm.weight torch.Size([4096]) False
462
+ base_model.model.model.layers.20.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
463
+ base_model.model.model.layers.20.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
464
+ base_model.model.model.layers.20.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
465
+ base_model.model.model.layers.20.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
466
+ base_model.model.model.layers.20.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
467
+ base_model.model.model.layers.20.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
468
+ base_model.model.model.layers.20.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
469
+ base_model.model.model.layers.20.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
470
+ base_model.model.model.layers.20.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
471
+ base_model.model.model.layers.20.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
472
+ base_model.model.model.layers.20.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
473
+ base_model.model.model.layers.20.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
474
+ base_model.model.model.layers.20.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
475
+ base_model.model.model.layers.20.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
476
+ base_model.model.model.layers.20.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
477
+ base_model.model.model.layers.20.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
478
+ base_model.model.model.layers.20.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
479
+ base_model.model.model.layers.20.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
480
+ base_model.model.model.layers.20.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
481
+ base_model.model.model.layers.20.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
482
+ base_model.model.model.layers.20.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
483
+ base_model.model.model.layers.20.input_layernorm.weight torch.Size([4096]) False
484
+ base_model.model.model.layers.20.post_attention_layernorm.weight torch.Size([4096]) False
485
+ base_model.model.model.layers.21.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
486
+ base_model.model.model.layers.21.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
487
+ base_model.model.model.layers.21.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
488
+ base_model.model.model.layers.21.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
489
+ base_model.model.model.layers.21.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
490
+ base_model.model.model.layers.21.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
491
+ base_model.model.model.layers.21.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
492
+ base_model.model.model.layers.21.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
493
+ base_model.model.model.layers.21.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
494
+ base_model.model.model.layers.21.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
495
+ base_model.model.model.layers.21.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
496
+ base_model.model.model.layers.21.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
497
+ base_model.model.model.layers.21.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
498
+ base_model.model.model.layers.21.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
499
+ base_model.model.model.layers.21.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
500
+ base_model.model.model.layers.21.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
501
+ base_model.model.model.layers.21.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
502
+ base_model.model.model.layers.21.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
503
+ base_model.model.model.layers.21.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
504
+ base_model.model.model.layers.21.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
505
+ base_model.model.model.layers.21.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
506
+ base_model.model.model.layers.21.input_layernorm.weight torch.Size([4096]) False
507
+ base_model.model.model.layers.21.post_attention_layernorm.weight torch.Size([4096]) False
508
+ base_model.model.model.layers.22.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
509
+ base_model.model.model.layers.22.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
510
+ base_model.model.model.layers.22.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
511
+ base_model.model.model.layers.22.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
512
+ base_model.model.model.layers.22.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
513
+ base_model.model.model.layers.22.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
514
+ base_model.model.model.layers.22.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
515
+ base_model.model.model.layers.22.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
516
+ base_model.model.model.layers.22.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
517
+ base_model.model.model.layers.22.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
518
+ base_model.model.model.layers.22.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
519
+ base_model.model.model.layers.22.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
520
+ base_model.model.model.layers.22.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
521
+ base_model.model.model.layers.22.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
522
+ base_model.model.model.layers.22.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
523
+ base_model.model.model.layers.22.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
524
+ base_model.model.model.layers.22.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
525
+ base_model.model.model.layers.22.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
526
+ base_model.model.model.layers.22.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
527
+ base_model.model.model.layers.22.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
528
+ base_model.model.model.layers.22.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
529
+ base_model.model.model.layers.22.input_layernorm.weight torch.Size([4096]) False
530
+ base_model.model.model.layers.22.post_attention_layernorm.weight torch.Size([4096]) False
531
+ base_model.model.model.layers.23.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
532
+ base_model.model.model.layers.23.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
533
+ base_model.model.model.layers.23.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
534
+ base_model.model.model.layers.23.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
535
+ base_model.model.model.layers.23.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
536
+ base_model.model.model.layers.23.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
537
+ base_model.model.model.layers.23.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
538
+ base_model.model.model.layers.23.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
539
+ base_model.model.model.layers.23.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
540
+ base_model.model.model.layers.23.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
541
+ base_model.model.model.layers.23.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
542
+ base_model.model.model.layers.23.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
543
+ base_model.model.model.layers.23.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
544
+ base_model.model.model.layers.23.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
545
+ base_model.model.model.layers.23.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
546
+ base_model.model.model.layers.23.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
547
+ base_model.model.model.layers.23.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
548
+ base_model.model.model.layers.23.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
549
+ base_model.model.model.layers.23.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
550
+ base_model.model.model.layers.23.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
551
+ base_model.model.model.layers.23.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
552
+ base_model.model.model.layers.23.input_layernorm.weight torch.Size([4096]) False
553
+ base_model.model.model.layers.23.post_attention_layernorm.weight torch.Size([4096]) False
554
+ base_model.model.model.layers.24.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
555
+ base_model.model.model.layers.24.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
556
+ base_model.model.model.layers.24.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
557
+ base_model.model.model.layers.24.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
558
+ base_model.model.model.layers.24.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
559
+ base_model.model.model.layers.24.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
560
+ base_model.model.model.layers.24.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
561
+ base_model.model.model.layers.24.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
562
+ base_model.model.model.layers.24.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
563
+ base_model.model.model.layers.24.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
564
+ base_model.model.model.layers.24.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
565
+ base_model.model.model.layers.24.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
566
+ base_model.model.model.layers.24.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
567
+ base_model.model.model.layers.24.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
568
+ base_model.model.model.layers.24.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
569
+ base_model.model.model.layers.24.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
570
+ base_model.model.model.layers.24.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
571
+ base_model.model.model.layers.24.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
572
+ base_model.model.model.layers.24.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
573
+ base_model.model.model.layers.24.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
574
+ base_model.model.model.layers.24.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
575
+ base_model.model.model.layers.24.input_layernorm.weight torch.Size([4096]) False
576
+ base_model.model.model.layers.24.post_attention_layernorm.weight torch.Size([4096]) False
577
+ base_model.model.model.layers.25.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
578
+ base_model.model.model.layers.25.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
579
+ base_model.model.model.layers.25.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
580
+ base_model.model.model.layers.25.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
581
+ base_model.model.model.layers.25.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
582
+ base_model.model.model.layers.25.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
583
+ base_model.model.model.layers.25.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
584
+ base_model.model.model.layers.25.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
585
+ base_model.model.model.layers.25.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
586
+ base_model.model.model.layers.25.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
587
+ base_model.model.model.layers.25.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
588
+ base_model.model.model.layers.25.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
589
+ base_model.model.model.layers.25.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
590
+ base_model.model.model.layers.25.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
591
+ base_model.model.model.layers.25.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
592
+ base_model.model.model.layers.25.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
593
+ base_model.model.model.layers.25.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
594
+ base_model.model.model.layers.25.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
595
+ base_model.model.model.layers.25.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
596
+ base_model.model.model.layers.25.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
597
+ base_model.model.model.layers.25.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
598
+ base_model.model.model.layers.25.input_layernorm.weight torch.Size([4096]) False
599
+ base_model.model.model.layers.25.post_attention_layernorm.weight torch.Size([4096]) False
600
+ base_model.model.model.layers.26.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
601
+ base_model.model.model.layers.26.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
602
+ base_model.model.model.layers.26.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
603
+ base_model.model.model.layers.26.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
604
+ base_model.model.model.layers.26.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
605
+ base_model.model.model.layers.26.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
606
+ base_model.model.model.layers.26.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
607
+ base_model.model.model.layers.26.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
608
+ base_model.model.model.layers.26.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
609
+ base_model.model.model.layers.26.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
610
+ base_model.model.model.layers.26.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
611
+ base_model.model.model.layers.26.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
612
+ base_model.model.model.layers.26.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
613
+ base_model.model.model.layers.26.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
614
+ base_model.model.model.layers.26.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
615
+ base_model.model.model.layers.26.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
616
+ base_model.model.model.layers.26.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
617
+ base_model.model.model.layers.26.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
618
+ base_model.model.model.layers.26.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
619
+ base_model.model.model.layers.26.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
620
+ base_model.model.model.layers.26.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
621
+ base_model.model.model.layers.26.input_layernorm.weight torch.Size([4096]) False
622
+ base_model.model.model.layers.26.post_attention_layernorm.weight torch.Size([4096]) False
623
+ base_model.model.model.layers.27.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
624
+ base_model.model.model.layers.27.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
625
+ base_model.model.model.layers.27.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
626
+ base_model.model.model.layers.27.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
627
+ base_model.model.model.layers.27.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
628
+ base_model.model.model.layers.27.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
629
+ base_model.model.model.layers.27.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
630
+ base_model.model.model.layers.27.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
631
+ base_model.model.model.layers.27.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
632
+ base_model.model.model.layers.27.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
633
+ base_model.model.model.layers.27.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
634
+ base_model.model.model.layers.27.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
635
+ base_model.model.model.layers.27.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
636
+ base_model.model.model.layers.27.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
637
+ base_model.model.model.layers.27.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
638
+ base_model.model.model.layers.27.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
639
+ base_model.model.model.layers.27.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
640
+ base_model.model.model.layers.27.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
641
+ base_model.model.model.layers.27.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
642
+ base_model.model.model.layers.27.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
643
+ base_model.model.model.layers.27.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
644
+ base_model.model.model.layers.27.input_layernorm.weight torch.Size([4096]) False
645
+ base_model.model.model.layers.27.post_attention_layernorm.weight torch.Size([4096]) False
646
+ base_model.model.model.layers.28.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
647
+ base_model.model.model.layers.28.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
648
+ base_model.model.model.layers.28.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
649
+ base_model.model.model.layers.28.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
650
+ base_model.model.model.layers.28.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
651
+ base_model.model.model.layers.28.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
652
+ base_model.model.model.layers.28.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
653
+ base_model.model.model.layers.28.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
654
+ base_model.model.model.layers.28.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
655
+ base_model.model.model.layers.28.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
656
+ base_model.model.model.layers.28.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
657
+ base_model.model.model.layers.28.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
658
+ base_model.model.model.layers.28.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
659
+ base_model.model.model.layers.28.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
660
+ base_model.model.model.layers.28.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
661
+ base_model.model.model.layers.28.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
662
+ base_model.model.model.layers.28.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
663
+ base_model.model.model.layers.28.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
664
+ base_model.model.model.layers.28.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
665
+ base_model.model.model.layers.28.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
666
+ base_model.model.model.layers.28.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
667
+ base_model.model.model.layers.28.input_layernorm.weight torch.Size([4096]) False
668
+ base_model.model.model.layers.28.post_attention_layernorm.weight torch.Size([4096]) False
669
+ base_model.model.model.layers.29.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
670
+ base_model.model.model.layers.29.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
671
+ base_model.model.model.layers.29.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
672
+ base_model.model.model.layers.29.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
673
+ base_model.model.model.layers.29.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
674
+ base_model.model.model.layers.29.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
675
+ base_model.model.model.layers.29.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
676
+ base_model.model.model.layers.29.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
677
+ base_model.model.model.layers.29.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
678
+ base_model.model.model.layers.29.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
679
+ base_model.model.model.layers.29.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
680
+ base_model.model.model.layers.29.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
681
+ base_model.model.model.layers.29.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
682
+ base_model.model.model.layers.29.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
683
+ base_model.model.model.layers.29.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
684
+ base_model.model.model.layers.29.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
685
+ base_model.model.model.layers.29.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
686
+ base_model.model.model.layers.29.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
687
+ base_model.model.model.layers.29.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
688
+ base_model.model.model.layers.29.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
689
+ base_model.model.model.layers.29.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
690
+ base_model.model.model.layers.29.input_layernorm.weight torch.Size([4096]) False
691
+ base_model.model.model.layers.29.post_attention_layernorm.weight torch.Size([4096]) False
692
+ base_model.model.model.layers.30.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
693
+ base_model.model.model.layers.30.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
694
+ base_model.model.model.layers.30.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
695
+ base_model.model.model.layers.30.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
696
+ base_model.model.model.layers.30.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
697
+ base_model.model.model.layers.30.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
698
+ base_model.model.model.layers.30.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
699
+ base_model.model.model.layers.30.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
700
+ base_model.model.model.layers.30.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
701
+ base_model.model.model.layers.30.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
702
+ base_model.model.model.layers.30.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
703
+ base_model.model.model.layers.30.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
704
+ base_model.model.model.layers.30.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
705
+ base_model.model.model.layers.30.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
706
+ base_model.model.model.layers.30.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
707
+ base_model.model.model.layers.30.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
708
+ base_model.model.model.layers.30.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
709
+ base_model.model.model.layers.30.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
710
+ base_model.model.model.layers.30.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
711
+ base_model.model.model.layers.30.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
712
+ base_model.model.model.layers.30.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
713
+ base_model.model.model.layers.30.input_layernorm.weight torch.Size([4096]) False
714
+ base_model.model.model.layers.30.post_attention_layernorm.weight torch.Size([4096]) False
715
+ base_model.model.model.layers.31.self_attn.q_proj.base_layer.weight torch.Size([4096, 4096]) False
716
+ base_model.model.model.layers.31.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
717
+ base_model.model.model.layers.31.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
718
+ base_model.model.model.layers.31.self_attn.k_proj.base_layer.weight torch.Size([1024, 4096]) False
719
+ base_model.model.model.layers.31.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
720
+ base_model.model.model.layers.31.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
721
+ base_model.model.model.layers.31.self_attn.v_proj.base_layer.weight torch.Size([1024, 4096]) False
722
+ base_model.model.model.layers.31.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
723
+ base_model.model.model.layers.31.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
724
+ base_model.model.model.layers.31.self_attn.o_proj.base_layer.weight torch.Size([4096, 4096]) False
725
+ base_model.model.model.layers.31.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
726
+ base_model.model.model.layers.31.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
727
+ base_model.model.model.layers.31.mlp.gate_proj.base_layer.weight torch.Size([14336, 4096]) False
728
+ base_model.model.model.layers.31.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
729
+ base_model.model.model.layers.31.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
730
+ base_model.model.model.layers.31.mlp.up_proj.base_layer.weight torch.Size([14336, 4096]) False
731
+ base_model.model.model.layers.31.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
732
+ base_model.model.model.layers.31.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
733
+ base_model.model.model.layers.31.mlp.down_proj.base_layer.weight torch.Size([4096, 14336]) False
734
+ base_model.model.model.layers.31.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
735
+ base_model.model.model.layers.31.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
736
+ base_model.model.model.layers.31.input_layernorm.weight torch.Size([4096]) False
737
+ base_model.model.model.layers.31.post_attention_layernorm.weight torch.Size([4096]) False
738
+ base_model.model.model.norm.weight torch.Size([4096]) False
739
+ base_model.model.model.vision_clip_lmm_projector.mlps.0.0.weight torch.Size([4096, 1024]) True
740
+ base_model.model.model.vision_clip_lmm_projector.mlps.0.0.bias torch.Size([4096]) True
741
+ base_model.model.model.vision_clip_lmm_projector.mlps.0.2.weight torch.Size([4096, 4096]) True
742
+ base_model.model.model.vision_clip_lmm_projector.mlps.0.2.bias torch.Size([4096]) True
743
+ base_model.model.model.vision_clip_lmm_projector.mlps.1.0.weight torch.Size([4096, 1024]) True
744
+ base_model.model.model.vision_clip_lmm_projector.mlps.1.0.bias torch.Size([4096]) True
745
+ base_model.model.model.vision_clip_lmm_projector.mlps.1.2.weight torch.Size([4096, 4096]) True
746
+ base_model.model.model.vision_clip_lmm_projector.mlps.1.2.bias torch.Size([4096]) True
747
+ base_model.model.model.vision_clip_lmm_projector.mlps.2.0.weight torch.Size([4096, 1024]) True
748
+ base_model.model.model.vision_clip_lmm_projector.mlps.2.0.bias torch.Size([4096]) True
749
+ base_model.model.model.vision_clip_lmm_projector.mlps.2.2.weight torch.Size([4096, 4096]) True
750
+ base_model.model.model.vision_clip_lmm_projector.mlps.2.2.bias torch.Size([4096]) True
751
+ base_model.model.model.vision_clip_lmm_projector.mlps.3.0.weight torch.Size([4096, 1024]) True
752
+ base_model.model.model.vision_clip_lmm_projector.mlps.3.0.bias torch.Size([4096]) True
753
+ base_model.model.model.vision_clip_lmm_projector.mlps.3.2.weight torch.Size([4096, 4096]) True
754
+ base_model.model.model.vision_clip_lmm_projector.mlps.3.2.bias torch.Size([4096]) True
755
+ base_model.model.model.vision_clip_lmm_projector.mlps.4.0.weight torch.Size([4096, 1024]) True
756
+ base_model.model.model.vision_clip_lmm_projector.mlps.4.0.bias torch.Size([4096]) True
757
+ base_model.model.model.vision_clip_lmm_projector.mlps.4.2.weight torch.Size([4096, 4096]) True
758
+ base_model.model.model.vision_clip_lmm_projector.mlps.4.2.bias torch.Size([4096]) True
759
+ base_model.model.model.vision_clip_lmm_projector.mlps.5.0.weight torch.Size([4096, 1024]) True
760
+ base_model.model.model.vision_clip_lmm_projector.mlps.5.0.bias torch.Size([4096]) True
761
+ base_model.model.model.vision_clip_lmm_projector.mlps.5.2.weight torch.Size([4096, 4096]) True
762
+ base_model.model.model.vision_clip_lmm_projector.mlps.5.2.bias torch.Size([4096]) True
763
+ base_model.model.model.vision_clip_lmm_projector.mlps.6.0.weight torch.Size([4096, 1024]) True
764
+ base_model.model.model.vision_clip_lmm_projector.mlps.6.0.bias torch.Size([4096]) True
765
+ base_model.model.model.vision_clip_lmm_projector.mlps.6.2.weight torch.Size([4096, 4096]) True
766
+ base_model.model.model.vision_clip_lmm_projector.mlps.6.2.bias torch.Size([4096]) True
767
+ base_model.model.model.vision_clip_lmm_projector.mlps.7.0.weight torch.Size([4096, 1024]) True
768
+ base_model.model.model.vision_clip_lmm_projector.mlps.7.0.bias torch.Size([4096]) True
769
+ base_model.model.model.vision_clip_lmm_projector.mlps.7.2.weight torch.Size([4096, 4096]) True
770
+ base_model.model.model.vision_clip_lmm_projector.mlps.7.2.bias torch.Size([4096]) True
771
+ base_model.model.model.vision_clip_lmm_projector.mlps.8.0.weight torch.Size([4096, 1024]) True
772
+ base_model.model.model.vision_clip_lmm_projector.mlps.8.0.bias torch.Size([4096]) True
773
+ base_model.model.model.vision_clip_lmm_projector.mlps.8.2.weight torch.Size([4096, 4096]) True
774
+ base_model.model.model.vision_clip_lmm_projector.mlps.8.2.bias torch.Size([4096]) True
775
+ base_model.model.model.vision_clip_lmm_projector.mlps.9.0.weight torch.Size([4096, 1024]) True
776
+ base_model.model.model.vision_clip_lmm_projector.mlps.9.0.bias torch.Size([4096]) True
777
+ base_model.model.model.vision_clip_lmm_projector.mlps.9.2.weight torch.Size([4096, 4096]) True
778
+ base_model.model.model.vision_clip_lmm_projector.mlps.9.2.bias torch.Size([4096]) True
779
+ base_model.model.lm_head.weight torch.Size([32000, 4096]) False
Multi/non_lora_trainables.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b114627deef3f20cb0fd831eb9b1316f59038e1cbb1050f1e3b0afaf10a99935
3
+ size 419608037
Multi/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
README.md ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+
3
+ library_name: transformers
4
+ ---
5
+
6
+
7
+ This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
8
+
9
+ ### Models Merged
10
+
11
+ The following models were included in the merge:
12
+ * [LeroyDyer/Mixtral_AI_Cyber_SFT_2](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_SFT_2)
13
+ * [LeroyDyer/Mixtral_AI_Cyber_SFT](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_SFT)
14
+
Sound/README.md ADDED
@@ -0,0 +1,242 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - en
4
+ tags:
5
+ - audio
6
+ - automatic-speech-recognition
7
+ - hf-asr-leaderboard
8
+ widget:
9
+ - example_title: Librispeech sample 1
10
+ src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
11
+ - example_title: Librispeech sample 2
12
+ src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
13
+ model-index:
14
+ - name: whisper-medium.en
15
+ results:
16
+ - task:
17
+ name: Automatic Speech Recognition
18
+ type: automatic-speech-recognition
19
+ dataset:
20
+ name: LibriSpeech (clean)
21
+ type: librispeech_asr
22
+ config: clean
23
+ split: test
24
+ args:
25
+ language: en
26
+ metrics:
27
+ - name: Test WER
28
+ type: wer
29
+ value: 4.120542365210176
30
+ - task:
31
+ name: Automatic Speech Recognition
32
+ type: automatic-speech-recognition
33
+ dataset:
34
+ name: LibriSpeech (other)
35
+ type: librispeech_asr
36
+ config: other
37
+ split: test
38
+ args:
39
+ language: en
40
+ metrics:
41
+ - name: Test WER
42
+ type: wer
43
+ value: 7.431640255663553
44
+ pipeline_tag: automatic-speech-recognition
45
+ license: apache-2.0
46
+ ---
47
+
48
+ # Whisper
49
+
50
+ Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
51
+ of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
52
+ for fine-tuning.
53
+
54
+ Whisper was proposed in the paper [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356)
55
+ by Alec Radford et al. from OpenAI. The original code repository can be found [here](https://github.com/openai/whisper).
56
+
57
+ **Disclaimer**: Content for this model card has partly been written by the Hugging Face team, and parts of it were
58
+ copied and pasted from the original model card.
59
+
60
+ ## Model details
61
+
62
+ Whisper is a Transformer based encoder-decoder model, also referred to as a _sequence-to-sequence_ model.
63
+ It was trained on 680k hours of labelled speech data annotated using large-scale weak supervision.
64
+
65
+ The models were trained on either English-only data or multilingual data. The English-only models were trained
66
+ on the task of speech recognition. The multilingual models were trained on both speech recognition and speech
67
+ translation. For speech recognition, the model predicts transcriptions in the *same* language as the audio.
68
+ For speech translation, the model predicts transcriptions to a *different* language to the audio.
69
+
70
+ Whisper checkpoints come in five configurations of varying model sizes.
71
+ The smallest four are trained on either English-only or multilingual data.
72
+ The largest checkpoints are multilingual only. All ten of the pre-trained checkpoints
73
+ are available on the [Hugging Face Hub](https://huggingface.co/models?search=openai/whisper). The
74
+ checkpoints are summarised in the following table with links to the models on the Hub:
75
+
76
+ | Size | Parameters | English-only | Multilingual |
77
+ |----------|------------|------------------------------------------------------|-----------------------------------------------------|
78
+ | tiny | 39 M | [✓](https://huggingface.co/openai/whisper-tiny.en) | [✓](https://huggingface.co/openai/whisper-tiny) |
79
+ | base | 74 M | [✓](https://huggingface.co/openai/whisper-base.en) | [✓](https://huggingface.co/openai/whisper-base) |
80
+ | small | 244 M | [✓](https://huggingface.co/openai/whisper-small.en) | [✓](https://huggingface.co/openai/whisper-small) |
81
+ | medium | 769 M | [✓](https://huggingface.co/openai/whisper-medium.en) | [✓](https://huggingface.co/openai/whisper-medium) |
82
+ | large | 1550 M | x | [✓](https://huggingface.co/openai/whisper-large) |
83
+ | large-v2 | 1550 M | x | [✓](https://huggingface.co/openai/whisper-large-v2) |
84
+
85
+ # Usage
86
+
87
+ This checkpoint is an *English-only* model, meaning it can be used for English speech recognition. Multilingual speech
88
+ recognition or speech translation is possible through use of a multilingual checkpoint.
89
+
90
+ To transcribe audio samples, the model has to be used alongside a [`WhisperProcessor`](https://huggingface.co/docs/transformers/model_doc/whisper#transformers.WhisperProcessor).
91
+
92
+ The `WhisperProcessor` is used to:
93
+ 1. Pre-process the audio inputs (converting them to log-Mel spectrograms for the model)
94
+ 2. Post-process the model outputs (converting them from tokens to text)
95
+
96
+ ## Transcription
97
+
98
+ ```python
99
+ >>> from transformers import WhisperProcessor, WhisperForConditionalGeneration
100
+ >>> from datasets import load_dataset
101
+
102
+ >>> # load model and processor
103
+ >>> processor = WhisperProcessor.from_pretrained("openai/whisper-medium.en")
104
+ >>> model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-medium.en")
105
+
106
+ >>> # load dummy dataset and read audio files
107
+ >>> ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
108
+ >>> sample = ds[0]["audio"]
109
+ >>> input_features = processor(sample["array"], sampling_rate=sample["sampling_rate"], return_tensors="pt").input_features
110
+
111
+ >>> # generate token ids
112
+ >>> predicted_ids = model.generate(input_features)
113
+ >>> # decode token ids to text
114
+ >>> transcription = processor.batch_decode(predicted_ids, skip_special_tokens=False)
115
+ ['<|startoftranscript|><|notimestamps|> Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.<|endoftext|>']
116
+
117
+ >>> transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
118
+ [' Mr. Quilter is the apostle of the middle classes and we are glad to welcome his gospel.']
119
+ ```
120
+ The context tokens can be removed from the start of the transcription by setting `skip_special_tokens=True`.
121
+
122
+ ## Evaluation
123
+
124
+ This code snippet shows how to evaluate Whisper medium.en on [LibriSpeech test-clean](https://huggingface.co/datasets/librispeech_asr):
125
+
126
+ ```python
127
+ >>> from datasets import load_dataset
128
+ >>> from transformers import WhisperForConditionalGeneration, WhisperProcessor
129
+ >>> import torch
130
+ >>> from evaluate import load
131
+
132
+ >>> librispeech_test_clean = load_dataset("librispeech_asr", "clean", split="test")
133
+
134
+ >>> processor = WhisperProcessor.from_pretrained("openai/whisper-medium.en")
135
+ >>> model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-medium.en").to("cuda")
136
+
137
+ >>> def map_to_pred(batch):
138
+ >>> audio = batch["audio"]
139
+ >>> input_features = processor(audio["array"], sampling_rate=audio["sampling_rate"], return_tensors="pt").input_features
140
+ >>> batch["reference"] = processor.tokenizer._normalize(batch['text'])
141
+ >>>
142
+ >>> with torch.no_grad():
143
+ >>> predicted_ids = model.generate(input_features.to("cuda"))[0]
144
+ >>> transcription = processor.decode(predicted_ids)
145
+ >>> batch["prediction"] = processor.tokenizer._normalize(transcription)
146
+ >>> return batch
147
+
148
+ >>> result = librispeech_test_clean.map(map_to_pred)
149
+
150
+ >>> wer = load("wer")
151
+ >>> print(100 * wer.compute(references=result["reference"], predictions=result["prediction"]))
152
+ 3.0154449620004904
153
+ ```
154
+
155
+ ## Long-Form Transcription
156
+
157
+ The Whisper model is intrinsically designed to work on audio samples of up to 30s in duration. However, by using a chunking
158
+ algorithm, it can be used to transcribe audio samples of up to arbitrary length. This is possible through Transformers
159
+ [`pipeline`](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline)
160
+ method. Chunking is enabled by setting `chunk_length_s=30` when instantiating the pipeline. With chunking enabled, the pipeline
161
+ can be run with batched inference. It can also be extended to predict sequence level timestamps by passing `return_timestamps=True`:
162
+
163
+ ```python
164
+ >>> import torch
165
+ >>> from transformers import pipeline
166
+ >>> from datasets import load_dataset
167
+
168
+ >>> device = "cuda:0" if torch.cuda.is_available() else "cpu"
169
+
170
+ >>> pipe = pipeline(
171
+ >>> "automatic-speech-recognition",
172
+ >>> model="openai/whisper-medium.en",
173
+ >>> chunk_length_s=30,
174
+ >>> device=device,
175
+ >>> )
176
+
177
+ >>> ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
178
+ >>> sample = ds[0]["audio"]
179
+
180
+ >>> prediction = pipe(sample.copy(), batch_size=8)["text"]
181
+ " Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel."
182
+
183
+ >>> # we can also return timestamps for the predictions
184
+ >>> prediction = pipe(sample.copy(), batch_size=8, return_timestamps=True)["chunks"]
185
+ [{'text': ' Mr. Quilter is the apostle of the middle classes and we are glad to welcome his gospel.',
186
+ 'timestamp': (0.0, 5.44)}]
187
+ ```
188
+
189
+ Refer to the blog post [ASR Chunking](https://huggingface.co/blog/asr-chunking) for more details on the chunking algorithm.
190
+ ## Fine-Tuning
191
+
192
+ The pre-trained Whisper model demonstrates a strong ability to generalise to different datasets and domains. However,
193
+ its predictive capabilities can be improved further for certain languages and tasks through *fine-tuning*. The blog
194
+ post [Fine-Tune Whisper with 🤗 Transformers](https://huggingface.co/blog/fine-tune-whisper) provides a step-by-step
195
+ guide to fine-tuning the Whisper model with as little as 5 hours of labelled data.
196
+
197
+ ### Evaluated Use
198
+
199
+ The primary intended users of these models are AI researchers studying robustness, generalization, capabilities, biases, and constraints of the current model. However, Whisper is also potentially quite useful as an ASR solution for developers, especially for English speech recognition. We recognize that once models are released, it is impossible to restrict access to only “intended” uses or to draw reasonable guidelines around what is or is not research.
200
+
201
+ The models are primarily trained and evaluated on ASR and speech translation to English tasks. They show strong ASR results in ~10 languages. They may exhibit additional capabilities, particularly if fine-tuned on certain tasks like voice activity detection, speaker classification, or speaker diarization but have not been robustly evaluated in these areas. We strongly recommend that users perform robust evaluations of the models in a particular context and domain before deploying them.
202
+
203
+ In particular, we caution against using Whisper models to transcribe recordings of individuals taken without their consent or purporting to use these models for any kind of subjective classification. We recommend against use in high-risk domains like decision-making contexts, where flaws in accuracy can lead to pronounced flaws in outcomes. The models are intended to transcribe and translate speech, use of the model for classification is not only not evaluated but also not appropriate, particularly to infer human attributes.
204
+
205
+
206
+ ## Training Data
207
+
208
+ The models are trained on 680,000 hours of audio and the corresponding transcripts collected from the internet. 65% of this data (or 438,000 hours) represents English-language audio and matched English transcripts, roughly 18% (or 126,000 hours) represents non-English audio and English transcripts, while the final 17% (or 117,000 hours) represents non-English audio and the corresponding transcript. This non-English data represents 98 different languages.
209
+
210
+ As discussed in [the accompanying paper](https://cdn.openai.com/papers/whisper.pdf), we see that performance on transcription in a given language is directly correlated with the amount of training data we employ in that language.
211
+
212
+
213
+ ## Performance and Limitations
214
+
215
+ Our studies show that, over many existing ASR systems, the models exhibit improved robustness to accents, background noise, technical language, as well as zero shot translation from multiple languages into English; and that accuracy on speech recognition and translation is near the state-of-the-art level.
216
+
217
+ However, because the models are trained in a weakly supervised manner using large-scale noisy data, the predictions may include texts that are not actually spoken in the audio input (i.e. hallucination). We hypothesize that this happens because, given their general knowledge of language, the models combine trying to predict the next word in audio with trying to transcribe the audio itself.
218
+
219
+ Our models perform unevenly across languages, and we observe lower accuracy on low-resource and/or low-discoverability languages or languages where we have less training data. The models also exhibit disparate performance on different accents and dialects of particular languages, which may include higher word error rate across speakers of different genders, races, ages, or other demographic criteria. Our full evaluation results are presented in [the paper accompanying this release](https://cdn.openai.com/papers/whisper.pdf).
220
+
221
+ In addition, the sequence-to-sequence architecture of the model makes it prone to generating repetitive texts, which can be mitigated to some degree by beam search and temperature scheduling but not perfectly. Further analysis on these limitations are provided in [the paper](https://cdn.openai.com/papers/whisper.pdf). It is likely that this behavior and hallucinations may be worse on lower-resource and/or lower-discoverability languages.
222
+
223
+
224
+ ## Broader Implications
225
+
226
+ We anticipate that Whisper models’ transcription capabilities may be used for improving accessibility tools. While Whisper models cannot be used for real-time transcription out of the box – their speed and size suggest that others may be able to build applications on top of them that allow for near-real-time speech recognition and translation. The real value of beneficial applications built on top of Whisper models suggests that the disparate performance of these models may have real economic implications.
227
+
228
+ There are also potential dual use concerns that come with releasing Whisper. While we hope the technology will be used primarily for beneficial purposes, making ASR technology more accessible could enable more actors to build capable surveillance technologies or scale up existing surveillance efforts, as the speed and accuracy allow for affordable automatic transcription and translation of large volumes of audio communication. Moreover, these models may have some capabilities to recognize specific individuals out of the box, which in turn presents safety concerns related both to dual use and disparate performance. In practice, we expect that the cost of transcription is not the limiting factor of scaling up surveillance projects.
229
+
230
+
231
+ ### BibTeX entry and citation info
232
+ ```bibtex
233
+ @misc{radford2022whisper,
234
+ doi = {10.48550/ARXIV.2212.04356},
235
+ url = {https://arxiv.org/abs/2212.04356},
236
+ author = {Radford, Alec and Kim, Jong Wook and Xu, Tao and Brockman, Greg and McLeavey, Christine and Sutskever, Ilya},
237
+ title = {Robust Speech Recognition via Large-Scale Weak Supervision},
238
+ publisher = {arXiv},
239
+ year = {2022},
240
+ copyright = {arXiv.org perpetual, non-exclusive license}
241
+ }
242
+ ```
Sound/added_tokens.json ADDED
@@ -0,0 +1,1609 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "<|0.00|>": 50363,
3
+ "<|0.02|>": 50364,
4
+ "<|0.04|>": 50365,
5
+ "<|0.06|>": 50366,
6
+ "<|0.08|>": 50367,
7
+ "<|0.10|>": 50368,
8
+ "<|0.12|>": 50369,
9
+ "<|0.14|>": 50370,
10
+ "<|0.16|>": 50371,
11
+ "<|0.18|>": 50372,
12
+ "<|0.20|>": 50373,
13
+ "<|0.22|>": 50374,
14
+ "<|0.24|>": 50375,
15
+ "<|0.26|>": 50376,
16
+ "<|0.28|>": 50377,
17
+ "<|0.30|>": 50378,
18
+ "<|0.32|>": 50379,
19
+ "<|0.34|>": 50380,
20
+ "<|0.36|>": 50381,
21
+ "<|0.38|>": 50382,
22
+ "<|0.40|>": 50383,
23
+ "<|0.42|>": 50384,
24
+ "<|0.44|>": 50385,
25
+ "<|0.46|>": 50386,
26
+ "<|0.48|>": 50387,
27
+ "<|0.50|>": 50388,
28
+ "<|0.52|>": 50389,
29
+ "<|0.54|>": 50390,
30
+ "<|0.56|>": 50391,
31
+ "<|0.58|>": 50392,
32
+ "<|0.60|>": 50393,
33
+ "<|0.62|>": 50394,
34
+ "<|0.64|>": 50395,
35
+ "<|0.66|>": 50396,
36
+ "<|0.68|>": 50397,
37
+ "<|0.70|>": 50398,
38
+ "<|0.72|>": 50399,
39
+ "<|0.74|>": 50400,
40
+ "<|0.76|>": 50401,
41
+ "<|0.78|>": 50402,
42
+ "<|0.80|>": 50403,
43
+ "<|0.82|>": 50404,
44
+ "<|0.84|>": 50405,
45
+ "<|0.86|>": 50406,
46
+ "<|0.88|>": 50407,
47
+ "<|0.90|>": 50408,
48
+ "<|0.92|>": 50409,
49
+ "<|0.94|>": 50410,
50
+ "<|0.96|>": 50411,
51
+ "<|0.98|>": 50412,
52
+ "<|1.00|>": 50413,
53
+ "<|1.02|>": 50414,
54
+ "<|1.04|>": 50415,
55
+ "<|1.06|>": 50416,
56
+ "<|1.08|>": 50417,
57
+ "<|1.10|>": 50418,
58
+ "<|1.12|>": 50419,
59
+ "<|1.14|>": 50420,
60
+ "<|1.16|>": 50421,
61
+ "<|1.18|>": 50422,
62
+ "<|1.20|>": 50423,
63
+ "<|1.22|>": 50424,
64
+ "<|1.24|>": 50425,
65
+ "<|1.26|>": 50426,
66
+ "<|1.28|>": 50427,
67
+ "<|1.30|>": 50428,
68
+ "<|1.32|>": 50429,
69
+ "<|1.34|>": 50430,
70
+ "<|1.36|>": 50431,
71
+ "<|1.38|>": 50432,
72
+ "<|1.40|>": 50433,
73
+ "<|1.42|>": 50434,
74
+ "<|1.44|>": 50435,
75
+ "<|1.46|>": 50436,
76
+ "<|1.48|>": 50437,
77
+ "<|1.50|>": 50438,
78
+ "<|1.52|>": 50439,
79
+ "<|1.54|>": 50440,
80
+ "<|1.56|>": 50441,
81
+ "<|1.58|>": 50442,
82
+ "<|1.60|>": 50443,
83
+ "<|1.62|>": 50444,
84
+ "<|1.64|>": 50445,
85
+ "<|1.66|>": 50446,
86
+ "<|1.68|>": 50447,
87
+ "<|1.70|>": 50448,
88
+ "<|1.72|>": 50449,
89
+ "<|1.74|>": 50450,
90
+ "<|1.76|>": 50451,
91
+ "<|1.78|>": 50452,
92
+ "<|1.80|>": 50453,
93
+ "<|1.82|>": 50454,
94
+ "<|1.84|>": 50455,
95
+ "<|1.86|>": 50456,
96
+ "<|1.88|>": 50457,
97
+ "<|1.90|>": 50458,
98
+ "<|1.92|>": 50459,
99
+ "<|1.94|>": 50460,
100
+ "<|1.96|>": 50461,
101
+ "<|1.98|>": 50462,
102
+ "<|10.00|>": 50863,
103
+ "<|10.02|>": 50864,
104
+ "<|10.04|>": 50865,
105
+ "<|10.06|>": 50866,
106
+ "<|10.08|>": 50867,
107
+ "<|10.10|>": 50868,
108
+ "<|10.12|>": 50869,
109
+ "<|10.14|>": 50870,
110
+ "<|10.16|>": 50871,
111
+ "<|10.18|>": 50872,
112
+ "<|10.20|>": 50873,
113
+ "<|10.22|>": 50874,
114
+ "<|10.24|>": 50875,
115
+ "<|10.26|>": 50876,
116
+ "<|10.28|>": 50877,
117
+ "<|10.30|>": 50878,
118
+ "<|10.32|>": 50879,
119
+ "<|10.34|>": 50880,
120
+ "<|10.36|>": 50881,
121
+ "<|10.38|>": 50882,
122
+ "<|10.40|>": 50883,
123
+ "<|10.42|>": 50884,
124
+ "<|10.44|>": 50885,
125
+ "<|10.46|>": 50886,
126
+ "<|10.48|>": 50887,
127
+ "<|10.50|>": 50888,
128
+ "<|10.52|>": 50889,
129
+ "<|10.54|>": 50890,
130
+ "<|10.56|>": 50891,
131
+ "<|10.58|>": 50892,
132
+ "<|10.60|>": 50893,
133
+ "<|10.62|>": 50894,
134
+ "<|10.64|>": 50895,
135
+ "<|10.66|>": 50896,
136
+ "<|10.68|>": 50897,
137
+ "<|10.70|>": 50898,
138
+ "<|10.72|>": 50899,
139
+ "<|10.74|>": 50900,
140
+ "<|10.76|>": 50901,
141
+ "<|10.78|>": 50902,
142
+ "<|10.80|>": 50903,
143
+ "<|10.82|>": 50904,
144
+ "<|10.84|>": 50905,
145
+ "<|10.86|>": 50906,
146
+ "<|10.88|>": 50907,
147
+ "<|10.90|>": 50908,
148
+ "<|10.92|>": 50909,
149
+ "<|10.94|>": 50910,
150
+ "<|10.96|>": 50911,
151
+ "<|10.98|>": 50912,
152
+ "<|11.00|>": 50913,
153
+ "<|11.02|>": 50914,
154
+ "<|11.04|>": 50915,
155
+ "<|11.06|>": 50916,
156
+ "<|11.08|>": 50917,
157
+ "<|11.10|>": 50918,
158
+ "<|11.12|>": 50919,
159
+ "<|11.14|>": 50920,
160
+ "<|11.16|>": 50921,
161
+ "<|11.18|>": 50922,
162
+ "<|11.20|>": 50923,
163
+ "<|11.22|>": 50924,
164
+ "<|11.24|>": 50925,
165
+ "<|11.26|>": 50926,
166
+ "<|11.28|>": 50927,
167
+ "<|11.30|>": 50928,
168
+ "<|11.32|>": 50929,
169
+ "<|11.34|>": 50930,
170
+ "<|11.36|>": 50931,
171
+ "<|11.38|>": 50932,
172
+ "<|11.40|>": 50933,
173
+ "<|11.42|>": 50934,
174
+ "<|11.44|>": 50935,
175
+ "<|11.46|>": 50936,
176
+ "<|11.48|>": 50937,
177
+ "<|11.50|>": 50938,
178
+ "<|11.52|>": 50939,
179
+ "<|11.54|>": 50940,
180
+ "<|11.56|>": 50941,
181
+ "<|11.58|>": 50942,
182
+ "<|11.60|>": 50943,
183
+ "<|11.62|>": 50944,
184
+ "<|11.64|>": 50945,
185
+ "<|11.66|>": 50946,
186
+ "<|11.68|>": 50947,
187
+ "<|11.70|>": 50948,
188
+ "<|11.72|>": 50949,
189
+ "<|11.74|>": 50950,
190
+ "<|11.76|>": 50951,
191
+ "<|11.78|>": 50952,
192
+ "<|11.80|>": 50953,
193
+ "<|11.82|>": 50954,
194
+ "<|11.84|>": 50955,
195
+ "<|11.86|>": 50956,
196
+ "<|11.88|>": 50957,
197
+ "<|11.90|>": 50958,
198
+ "<|11.92|>": 50959,
199
+ "<|11.94|>": 50960,
200
+ "<|11.96|>": 50961,
201
+ "<|11.98|>": 50962,
202
+ "<|12.00|>": 50963,
203
+ "<|12.02|>": 50964,
204
+ "<|12.04|>": 50965,
205
+ "<|12.06|>": 50966,
206
+ "<|12.08|>": 50967,
207
+ "<|12.10|>": 50968,
208
+ "<|12.12|>": 50969,
209
+ "<|12.14|>": 50970,
210
+ "<|12.16|>": 50971,
211
+ "<|12.18|>": 50972,
212
+ "<|12.20|>": 50973,
213
+ "<|12.22|>": 50974,
214
+ "<|12.24|>": 50975,
215
+ "<|12.26|>": 50976,
216
+ "<|12.28|>": 50977,
217
+ "<|12.30|>": 50978,
218
+ "<|12.32|>": 50979,
219
+ "<|12.34|>": 50980,
220
+ "<|12.36|>": 50981,
221
+ "<|12.38|>": 50982,
222
+ "<|12.40|>": 50983,
223
+ "<|12.42|>": 50984,
224
+ "<|12.44|>": 50985,
225
+ "<|12.46|>": 50986,
226
+ "<|12.48|>": 50987,
227
+ "<|12.50|>": 50988,
228
+ "<|12.52|>": 50989,
229
+ "<|12.54|>": 50990,
230
+ "<|12.56|>": 50991,
231
+ "<|12.58|>": 50992,
232
+ "<|12.60|>": 50993,
233
+ "<|12.62|>": 50994,
234
+ "<|12.64|>": 50995,
235
+ "<|12.66|>": 50996,
236
+ "<|12.68|>": 50997,
237
+ "<|12.70|>": 50998,
238
+ "<|12.72|>": 50999,
239
+ "<|12.74|>": 51000,
240
+ "<|12.76|>": 51001,
241
+ "<|12.78|>": 51002,
242
+ "<|12.80|>": 51003,
243
+ "<|12.82|>": 51004,
244
+ "<|12.84|>": 51005,
245
+ "<|12.86|>": 51006,
246
+ "<|12.88|>": 51007,
247
+ "<|12.90|>": 51008,
248
+ "<|12.92|>": 51009,
249
+ "<|12.94|>": 51010,
250
+ "<|12.96|>": 51011,
251
+ "<|12.98|>": 51012,
252
+ "<|13.00|>": 51013,
253
+ "<|13.02|>": 51014,
254
+ "<|13.04|>": 51015,
255
+ "<|13.06|>": 51016,
256
+ "<|13.08|>": 51017,
257
+ "<|13.10|>": 51018,
258
+ "<|13.12|>": 51019,
259
+ "<|13.14|>": 51020,
260
+ "<|13.16|>": 51021,
261
+ "<|13.18|>": 51022,
262
+ "<|13.20|>": 51023,
263
+ "<|13.22|>": 51024,
264
+ "<|13.24|>": 51025,
265
+ "<|13.26|>": 51026,
266
+ "<|13.28|>": 51027,
267
+ "<|13.30|>": 51028,
268
+ "<|13.32|>": 51029,
269
+ "<|13.34|>": 51030,
270
+ "<|13.36|>": 51031,
271
+ "<|13.38|>": 51032,
272
+ "<|13.40|>": 51033,
273
+ "<|13.42|>": 51034,
274
+ "<|13.44|>": 51035,
275
+ "<|13.46|>": 51036,
276
+ "<|13.48|>": 51037,
277
+ "<|13.50|>": 51038,
278
+ "<|13.52|>": 51039,
279
+ "<|13.54|>": 51040,
280
+ "<|13.56|>": 51041,
281
+ "<|13.58|>": 51042,
282
+ "<|13.60|>": 51043,
283
+ "<|13.62|>": 51044,
284
+ "<|13.64|>": 51045,
285
+ "<|13.66|>": 51046,
286
+ "<|13.68|>": 51047,
287
+ "<|13.70|>": 51048,
288
+ "<|13.72|>": 51049,
289
+ "<|13.74|>": 51050,
290
+ "<|13.76|>": 51051,
291
+ "<|13.78|>": 51052,
292
+ "<|13.80|>": 51053,
293
+ "<|13.82|>": 51054,
294
+ "<|13.84|>": 51055,
295
+ "<|13.86|>": 51056,
296
+ "<|13.88|>": 51057,
297
+ "<|13.90|>": 51058,
298
+ "<|13.92|>": 51059,
299
+ "<|13.94|>": 51060,
300
+ "<|13.96|>": 51061,
301
+ "<|13.98|>": 51062,
302
+ "<|14.00|>": 51063,
303
+ "<|14.02|>": 51064,
304
+ "<|14.04|>": 51065,
305
+ "<|14.06|>": 51066,
306
+ "<|14.08|>": 51067,
307
+ "<|14.10|>": 51068,
308
+ "<|14.12|>": 51069,
309
+ "<|14.14|>": 51070,
310
+ "<|14.16|>": 51071,
311
+ "<|14.18|>": 51072,
312
+ "<|14.20|>": 51073,
313
+ "<|14.22|>": 51074,
314
+ "<|14.24|>": 51075,
315
+ "<|14.26|>": 51076,
316
+ "<|14.28|>": 51077,
317
+ "<|14.30|>": 51078,
318
+ "<|14.32|>": 51079,
319
+ "<|14.34|>": 51080,
320
+ "<|14.36|>": 51081,
321
+ "<|14.38|>": 51082,
322
+ "<|14.40|>": 51083,
323
+ "<|14.42|>": 51084,
324
+ "<|14.44|>": 51085,
325
+ "<|14.46|>": 51086,
326
+ "<|14.48|>": 51087,
327
+ "<|14.50|>": 51088,
328
+ "<|14.52|>": 51089,
329
+ "<|14.54|>": 51090,
330
+ "<|14.56|>": 51091,
331
+ "<|14.58|>": 51092,
332
+ "<|14.60|>": 51093,
333
+ "<|14.62|>": 51094,
334
+ "<|14.64|>": 51095,
335
+ "<|14.66|>": 51096,
336
+ "<|14.68|>": 51097,
337
+ "<|14.70|>": 51098,
338
+ "<|14.72|>": 51099,
339
+ "<|14.74|>": 51100,
340
+ "<|14.76|>": 51101,
341
+ "<|14.78|>": 51102,
342
+ "<|14.80|>": 51103,
343
+ "<|14.82|>": 51104,
344
+ "<|14.84|>": 51105,
345
+ "<|14.86|>": 51106,
346
+ "<|14.88|>": 51107,
347
+ "<|14.90|>": 51108,
348
+ "<|14.92|>": 51109,
349
+ "<|14.94|>": 51110,
350
+ "<|14.96|>": 51111,
351
+ "<|14.98|>": 51112,
352
+ "<|15.00|>": 51113,
353
+ "<|15.02|>": 51114,
354
+ "<|15.04|>": 51115,
355
+ "<|15.06|>": 51116,
356
+ "<|15.08|>": 51117,
357
+ "<|15.10|>": 51118,
358
+ "<|15.12|>": 51119,
359
+ "<|15.14|>": 51120,
360
+ "<|15.16|>": 51121,
361
+ "<|15.18|>": 51122,
362
+ "<|15.20|>": 51123,
363
+ "<|15.22|>": 51124,
364
+ "<|15.24|>": 51125,
365
+ "<|15.26|>": 51126,
366
+ "<|15.28|>": 51127,
367
+ "<|15.30|>": 51128,
368
+ "<|15.32|>": 51129,
369
+ "<|15.34|>": 51130,
370
+ "<|15.36|>": 51131,
371
+ "<|15.38|>": 51132,
372
+ "<|15.40|>": 51133,
373
+ "<|15.42|>": 51134,
374
+ "<|15.44|>": 51135,
375
+ "<|15.46|>": 51136,
376
+ "<|15.48|>": 51137,
377
+ "<|15.50|>": 51138,
378
+ "<|15.52|>": 51139,
379
+ "<|15.54|>": 51140,
380
+ "<|15.56|>": 51141,
381
+ "<|15.58|>": 51142,
382
+ "<|15.60|>": 51143,
383
+ "<|15.62|>": 51144,
384
+ "<|15.64|>": 51145,
385
+ "<|15.66|>": 51146,
386
+ "<|15.68|>": 51147,
387
+ "<|15.70|>": 51148,
388
+ "<|15.72|>": 51149,
389
+ "<|15.74|>": 51150,
390
+ "<|15.76|>": 51151,
391
+ "<|15.78|>": 51152,
392
+ "<|15.80|>": 51153,
393
+ "<|15.82|>": 51154,
394
+ "<|15.84|>": 51155,
395
+ "<|15.86|>": 51156,
396
+ "<|15.88|>": 51157,
397
+ "<|15.90|>": 51158,
398
+ "<|15.92|>": 51159,
399
+ "<|15.94|>": 51160,
400
+ "<|15.96|>": 51161,
401
+ "<|15.98|>": 51162,
402
+ "<|16.00|>": 51163,
403
+ "<|16.02|>": 51164,
404
+ "<|16.04|>": 51165,
405
+ "<|16.06|>": 51166,
406
+ "<|16.08|>": 51167,
407
+ "<|16.10|>": 51168,
408
+ "<|16.12|>": 51169,
409
+ "<|16.14|>": 51170,
410
+ "<|16.16|>": 51171,
411
+ "<|16.18|>": 51172,
412
+ "<|16.20|>": 51173,
413
+ "<|16.22|>": 51174,
414
+ "<|16.24|>": 51175,
415
+ "<|16.26|>": 51176,
416
+ "<|16.28|>": 51177,
417
+ "<|16.30|>": 51178,
418
+ "<|16.32|>": 51179,
419
+ "<|16.34|>": 51180,
420
+ "<|16.36|>": 51181,
421
+ "<|16.38|>": 51182,
422
+ "<|16.40|>": 51183,
423
+ "<|16.42|>": 51184,
424
+ "<|16.44|>": 51185,
425
+ "<|16.46|>": 51186,
426
+ "<|16.48|>": 51187,
427
+ "<|16.50|>": 51188,
428
+ "<|16.52|>": 51189,
429
+ "<|16.54|>": 51190,
430
+ "<|16.56|>": 51191,
431
+ "<|16.58|>": 51192,
432
+ "<|16.60|>": 51193,
433
+ "<|16.62|>": 51194,
434
+ "<|16.64|>": 51195,
435
+ "<|16.66|>": 51196,
436
+ "<|16.68|>": 51197,
437
+ "<|16.70|>": 51198,
438
+ "<|16.72|>": 51199,
439
+ "<|16.74|>": 51200,
440
+ "<|16.76|>": 51201,
441
+ "<|16.78|>": 51202,
442
+ "<|16.80|>": 51203,
443
+ "<|16.82|>": 51204,
444
+ "<|16.84|>": 51205,
445
+ "<|16.86|>": 51206,
446
+ "<|16.88|>": 51207,
447
+ "<|16.90|>": 51208,
448
+ "<|16.92|>": 51209,
449
+ "<|16.94|>": 51210,
450
+ "<|16.96|>": 51211,
451
+ "<|16.98|>": 51212,
452
+ "<|17.00|>": 51213,
453
+ "<|17.02|>": 51214,
454
+ "<|17.04|>": 51215,
455
+ "<|17.06|>": 51216,
456
+ "<|17.08|>": 51217,
457
+ "<|17.10|>": 51218,
458
+ "<|17.12|>": 51219,
459
+ "<|17.14|>": 51220,
460
+ "<|17.16|>": 51221,
461
+ "<|17.18|>": 51222,
462
+ "<|17.20|>": 51223,
463
+ "<|17.22|>": 51224,
464
+ "<|17.24|>": 51225,
465
+ "<|17.26|>": 51226,
466
+ "<|17.28|>": 51227,
467
+ "<|17.30|>": 51228,
468
+ "<|17.32|>": 51229,
469
+ "<|17.34|>": 51230,
470
+ "<|17.36|>": 51231,
471
+ "<|17.38|>": 51232,
472
+ "<|17.40|>": 51233,
473
+ "<|17.42|>": 51234,
474
+ "<|17.44|>": 51235,
475
+ "<|17.46|>": 51236,
476
+ "<|17.48|>": 51237,
477
+ "<|17.50|>": 51238,
478
+ "<|17.52|>": 51239,
479
+ "<|17.54|>": 51240,
480
+ "<|17.56|>": 51241,
481
+ "<|17.58|>": 51242,
482
+ "<|17.60|>": 51243,
483
+ "<|17.62|>": 51244,
484
+ "<|17.64|>": 51245,
485
+ "<|17.66|>": 51246,
486
+ "<|17.68|>": 51247,
487
+ "<|17.70|>": 51248,
488
+ "<|17.72|>": 51249,
489
+ "<|17.74|>": 51250,
490
+ "<|17.76|>": 51251,
491
+ "<|17.78|>": 51252,
492
+ "<|17.80|>": 51253,
493
+ "<|17.82|>": 51254,
494
+ "<|17.84|>": 51255,
495
+ "<|17.86|>": 51256,
496
+ "<|17.88|>": 51257,
497
+ "<|17.90|>": 51258,
498
+ "<|17.92|>": 51259,
499
+ "<|17.94|>": 51260,
500
+ "<|17.96|>": 51261,
501
+ "<|17.98|>": 51262,
502
+ "<|18.00|>": 51263,
503
+ "<|18.02|>": 51264,
504
+ "<|18.04|>": 51265,
505
+ "<|18.06|>": 51266,
506
+ "<|18.08|>": 51267,
507
+ "<|18.10|>": 51268,
508
+ "<|18.12|>": 51269,
509
+ "<|18.14|>": 51270,
510
+ "<|18.16|>": 51271,
511
+ "<|18.18|>": 51272,
512
+ "<|18.20|>": 51273,
513
+ "<|18.22|>": 51274,
514
+ "<|18.24|>": 51275,
515
+ "<|18.26|>": 51276,
516
+ "<|18.28|>": 51277,
517
+ "<|18.30|>": 51278,
518
+ "<|18.32|>": 51279,
519
+ "<|18.34|>": 51280,
520
+ "<|18.36|>": 51281,
521
+ "<|18.38|>": 51282,
522
+ "<|18.40|>": 51283,
523
+ "<|18.42|>": 51284,
524
+ "<|18.44|>": 51285,
525
+ "<|18.46|>": 51286,
526
+ "<|18.48|>": 51287,
527
+ "<|18.50|>": 51288,
528
+ "<|18.52|>": 51289,
529
+ "<|18.54|>": 51290,
530
+ "<|18.56|>": 51291,
531
+ "<|18.58|>": 51292,
532
+ "<|18.60|>": 51293,
533
+ "<|18.62|>": 51294,
534
+ "<|18.64|>": 51295,
535
+ "<|18.66|>": 51296,
536
+ "<|18.68|>": 51297,
537
+ "<|18.70|>": 51298,
538
+ "<|18.72|>": 51299,
539
+ "<|18.74|>": 51300,
540
+ "<|18.76|>": 51301,
541
+ "<|18.78|>": 51302,
542
+ "<|18.80|>": 51303,
543
+ "<|18.82|>": 51304,
544
+ "<|18.84|>": 51305,
545
+ "<|18.86|>": 51306,
546
+ "<|18.88|>": 51307,
547
+ "<|18.90|>": 51308,
548
+ "<|18.92|>": 51309,
549
+ "<|18.94|>": 51310,
550
+ "<|18.96|>": 51311,
551
+ "<|18.98|>": 51312,
552
+ "<|19.00|>": 51313,
553
+ "<|19.02|>": 51314,
554
+ "<|19.04|>": 51315,
555
+ "<|19.06|>": 51316,
556
+ "<|19.08|>": 51317,
557
+ "<|19.10|>": 51318,
558
+ "<|19.12|>": 51319,
559
+ "<|19.14|>": 51320,
560
+ "<|19.16|>": 51321,
561
+ "<|19.18|>": 51322,
562
+ "<|19.20|>": 51323,
563
+ "<|19.22|>": 51324,
564
+ "<|19.24|>": 51325,
565
+ "<|19.26|>": 51326,
566
+ "<|19.28|>": 51327,
567
+ "<|19.30|>": 51328,
568
+ "<|19.32|>": 51329,
569
+ "<|19.34|>": 51330,
570
+ "<|19.36|>": 51331,
571
+ "<|19.38|>": 51332,
572
+ "<|19.40|>": 51333,
573
+ "<|19.42|>": 51334,
574
+ "<|19.44|>": 51335,
575
+ "<|19.46|>": 51336,
576
+ "<|19.48|>": 51337,
577
+ "<|19.50|>": 51338,
578
+ "<|19.52|>": 51339,
579
+ "<|19.54|>": 51340,
580
+ "<|19.56|>": 51341,
581
+ "<|19.58|>": 51342,
582
+ "<|19.60|>": 51343,
583
+ "<|19.62|>": 51344,
584
+ "<|19.64|>": 51345,
585
+ "<|19.66|>": 51346,
586
+ "<|19.68|>": 51347,
587
+ "<|19.70|>": 51348,
588
+ "<|19.72|>": 51349,
589
+ "<|19.74|>": 51350,
590
+ "<|19.76|>": 51351,
591
+ "<|19.78|>": 51352,
592
+ "<|19.80|>": 51353,
593
+ "<|19.82|>": 51354,
594
+ "<|19.84|>": 51355,
595
+ "<|19.86|>": 51356,
596
+ "<|19.88|>": 51357,
597
+ "<|19.90|>": 51358,
598
+ "<|19.92|>": 51359,
599
+ "<|19.94|>": 51360,
600
+ "<|19.96|>": 51361,
601
+ "<|19.98|>": 51362,
602
+ "<|2.00|>": 50463,
603
+ "<|2.02|>": 50464,
604
+ "<|2.04|>": 50465,
605
+ "<|2.06|>": 50466,
606
+ "<|2.08|>": 50467,
607
+ "<|2.10|>": 50468,
608
+ "<|2.12|>": 50469,
609
+ "<|2.14|>": 50470,
610
+ "<|2.16|>": 50471,
611
+ "<|2.18|>": 50472,
612
+ "<|2.20|>": 50473,
613
+ "<|2.22|>": 50474,
614
+ "<|2.24|>": 50475,
615
+ "<|2.26|>": 50476,
616
+ "<|2.28|>": 50477,
617
+ "<|2.30|>": 50478,
618
+ "<|2.32|>": 50479,
619
+ "<|2.34|>": 50480,
620
+ "<|2.36|>": 50481,
621
+ "<|2.38|>": 50482,
622
+ "<|2.40|>": 50483,
623
+ "<|2.42|>": 50484,
624
+ "<|2.44|>": 50485,
625
+ "<|2.46|>": 50486,
626
+ "<|2.48|>": 50487,
627
+ "<|2.50|>": 50488,
628
+ "<|2.52|>": 50489,
629
+ "<|2.54|>": 50490,
630
+ "<|2.56|>": 50491,
631
+ "<|2.58|>": 50492,
632
+ "<|2.60|>": 50493,
633
+ "<|2.62|>": 50494,
634
+ "<|2.64|>": 50495,
635
+ "<|2.66|>": 50496,
636
+ "<|2.68|>": 50497,
637
+ "<|2.70|>": 50498,
638
+ "<|2.72|>": 50499,
639
+ "<|2.74|>": 50500,
640
+ "<|2.76|>": 50501,
641
+ "<|2.78|>": 50502,
642
+ "<|2.80|>": 50503,
643
+ "<|2.82|>": 50504,
644
+ "<|2.84|>": 50505,
645
+ "<|2.86|>": 50506,
646
+ "<|2.88|>": 50507,
647
+ "<|2.90|>": 50508,
648
+ "<|2.92|>": 50509,
649
+ "<|2.94|>": 50510,
650
+ "<|2.96|>": 50511,
651
+ "<|2.98|>": 50512,
652
+ "<|20.00|>": 51363,
653
+ "<|20.02|>": 51364,
654
+ "<|20.04|>": 51365,
655
+ "<|20.06|>": 51366,
656
+ "<|20.08|>": 51367,
657
+ "<|20.10|>": 51368,
658
+ "<|20.12|>": 51369,
659
+ "<|20.14|>": 51370,
660
+ "<|20.16|>": 51371,
661
+ "<|20.18|>": 51372,
662
+ "<|20.20|>": 51373,
663
+ "<|20.22|>": 51374,
664
+ "<|20.24|>": 51375,
665
+ "<|20.26|>": 51376,
666
+ "<|20.28|>": 51377,
667
+ "<|20.30|>": 51378,
668
+ "<|20.32|>": 51379,
669
+ "<|20.34|>": 51380,
670
+ "<|20.36|>": 51381,
671
+ "<|20.38|>": 51382,
672
+ "<|20.40|>": 51383,
673
+ "<|20.42|>": 51384,
674
+ "<|20.44|>": 51385,
675
+ "<|20.46|>": 51386,
676
+ "<|20.48|>": 51387,
677
+ "<|20.50|>": 51388,
678
+ "<|20.52|>": 51389,
679
+ "<|20.54|>": 51390,
680
+ "<|20.56|>": 51391,
681
+ "<|20.58|>": 51392,
682
+ "<|20.60|>": 51393,
683
+ "<|20.62|>": 51394,
684
+ "<|20.64|>": 51395,
685
+ "<|20.66|>": 51396,
686
+ "<|20.68|>": 51397,
687
+ "<|20.70|>": 51398,
688
+ "<|20.72|>": 51399,
689
+ "<|20.74|>": 51400,
690
+ "<|20.76|>": 51401,
691
+ "<|20.78|>": 51402,
692
+ "<|20.80|>": 51403,
693
+ "<|20.82|>": 51404,
694
+ "<|20.84|>": 51405,
695
+ "<|20.86|>": 51406,
696
+ "<|20.88|>": 51407,
697
+ "<|20.90|>": 51408,
698
+ "<|20.92|>": 51409,
699
+ "<|20.94|>": 51410,
700
+ "<|20.96|>": 51411,
701
+ "<|20.98|>": 51412,
702
+ "<|21.00|>": 51413,
703
+ "<|21.02|>": 51414,
704
+ "<|21.04|>": 51415,
705
+ "<|21.06|>": 51416,
706
+ "<|21.08|>": 51417,
707
+ "<|21.10|>": 51418,
708
+ "<|21.12|>": 51419,
709
+ "<|21.14|>": 51420,
710
+ "<|21.16|>": 51421,
711
+ "<|21.18|>": 51422,
712
+ "<|21.20|>": 51423,
713
+ "<|21.22|>": 51424,
714
+ "<|21.24|>": 51425,
715
+ "<|21.26|>": 51426,
716
+ "<|21.28|>": 51427,
717
+ "<|21.30|>": 51428,
718
+ "<|21.32|>": 51429,
719
+ "<|21.34|>": 51430,
720
+ "<|21.36|>": 51431,
721
+ "<|21.38|>": 51432,
722
+ "<|21.40|>": 51433,
723
+ "<|21.42|>": 51434,
724
+ "<|21.44|>": 51435,
725
+ "<|21.46|>": 51436,
726
+ "<|21.48|>": 51437,
727
+ "<|21.50|>": 51438,
728
+ "<|21.52|>": 51439,
729
+ "<|21.54|>": 51440,
730
+ "<|21.56|>": 51441,
731
+ "<|21.58|>": 51442,
732
+ "<|21.60|>": 51443,
733
+ "<|21.62|>": 51444,
734
+ "<|21.64|>": 51445,
735
+ "<|21.66|>": 51446,
736
+ "<|21.68|>": 51447,
737
+ "<|21.70|>": 51448,
738
+ "<|21.72|>": 51449,
739
+ "<|21.74|>": 51450,
740
+ "<|21.76|>": 51451,
741
+ "<|21.78|>": 51452,
742
+ "<|21.80|>": 51453,
743
+ "<|21.82|>": 51454,
744
+ "<|21.84|>": 51455,
745
+ "<|21.86|>": 51456,
746
+ "<|21.88|>": 51457,
747
+ "<|21.90|>": 51458,
748
+ "<|21.92|>": 51459,
749
+ "<|21.94|>": 51460,
750
+ "<|21.96|>": 51461,
751
+ "<|21.98|>": 51462,
752
+ "<|22.00|>": 51463,
753
+ "<|22.02|>": 51464,
754
+ "<|22.04|>": 51465,
755
+ "<|22.06|>": 51466,
756
+ "<|22.08|>": 51467,
757
+ "<|22.10|>": 51468,
758
+ "<|22.12|>": 51469,
759
+ "<|22.14|>": 51470,
760
+ "<|22.16|>": 51471,
761
+ "<|22.18|>": 51472,
762
+ "<|22.20|>": 51473,
763
+ "<|22.22|>": 51474,
764
+ "<|22.24|>": 51475,
765
+ "<|22.26|>": 51476,
766
+ "<|22.28|>": 51477,
767
+ "<|22.30|>": 51478,
768
+ "<|22.32|>": 51479,
769
+ "<|22.34|>": 51480,
770
+ "<|22.36|>": 51481,
771
+ "<|22.38|>": 51482,
772
+ "<|22.40|>": 51483,
773
+ "<|22.42|>": 51484,
774
+ "<|22.44|>": 51485,
775
+ "<|22.46|>": 51486,
776
+ "<|22.48|>": 51487,
777
+ "<|22.50|>": 51488,
778
+ "<|22.52|>": 51489,
779
+ "<|22.54|>": 51490,
780
+ "<|22.56|>": 51491,
781
+ "<|22.58|>": 51492,
782
+ "<|22.60|>": 51493,
783
+ "<|22.62|>": 51494,
784
+ "<|22.64|>": 51495,
785
+ "<|22.66|>": 51496,
786
+ "<|22.68|>": 51497,
787
+ "<|22.70|>": 51498,
788
+ "<|22.72|>": 51499,
789
+ "<|22.74|>": 51500,
790
+ "<|22.76|>": 51501,
791
+ "<|22.78|>": 51502,
792
+ "<|22.80|>": 51503,
793
+ "<|22.82|>": 51504,
794
+ "<|22.84|>": 51505,
795
+ "<|22.86|>": 51506,
796
+ "<|22.88|>": 51507,
797
+ "<|22.90|>": 51508,
798
+ "<|22.92|>": 51509,
799
+ "<|22.94|>": 51510,
800
+ "<|22.96|>": 51511,
801
+ "<|22.98|>": 51512,
802
+ "<|23.00|>": 51513,
803
+ "<|23.02|>": 51514,
804
+ "<|23.04|>": 51515,
805
+ "<|23.06|>": 51516,
806
+ "<|23.08|>": 51517,
807
+ "<|23.10|>": 51518,
808
+ "<|23.12|>": 51519,
809
+ "<|23.14|>": 51520,
810
+ "<|23.16|>": 51521,
811
+ "<|23.18|>": 51522,
812
+ "<|23.20|>": 51523,
813
+ "<|23.22|>": 51524,
814
+ "<|23.24|>": 51525,
815
+ "<|23.26|>": 51526,
816
+ "<|23.28|>": 51527,
817
+ "<|23.30|>": 51528,
818
+ "<|23.32|>": 51529,
819
+ "<|23.34|>": 51530,
820
+ "<|23.36|>": 51531,
821
+ "<|23.38|>": 51532,
822
+ "<|23.40|>": 51533,
823
+ "<|23.42|>": 51534,
824
+ "<|23.44|>": 51535,
825
+ "<|23.46|>": 51536,
826
+ "<|23.48|>": 51537,
827
+ "<|23.50|>": 51538,
828
+ "<|23.52|>": 51539,
829
+ "<|23.54|>": 51540,
830
+ "<|23.56|>": 51541,
831
+ "<|23.58|>": 51542,
832
+ "<|23.60|>": 51543,
833
+ "<|23.62|>": 51544,
834
+ "<|23.64|>": 51545,
835
+ "<|23.66|>": 51546,
836
+ "<|23.68|>": 51547,
837
+ "<|23.70|>": 51548,
838
+ "<|23.72|>": 51549,
839
+ "<|23.74|>": 51550,
840
+ "<|23.76|>": 51551,
841
+ "<|23.78|>": 51552,
842
+ "<|23.80|>": 51553,
843
+ "<|23.82|>": 51554,
844
+ "<|23.84|>": 51555,
845
+ "<|23.86|>": 51556,
846
+ "<|23.88|>": 51557,
847
+ "<|23.90|>": 51558,
848
+ "<|23.92|>": 51559,
849
+ "<|23.94|>": 51560,
850
+ "<|23.96|>": 51561,
851
+ "<|23.98|>": 51562,
852
+ "<|24.00|>": 51563,
853
+ "<|24.02|>": 51564,
854
+ "<|24.04|>": 51565,
855
+ "<|24.06|>": 51566,
856
+ "<|24.08|>": 51567,
857
+ "<|24.10|>": 51568,
858
+ "<|24.12|>": 51569,
859
+ "<|24.14|>": 51570,
860
+ "<|24.16|>": 51571,
861
+ "<|24.18|>": 51572,
862
+ "<|24.20|>": 51573,
863
+ "<|24.22|>": 51574,
864
+ "<|24.24|>": 51575,
865
+ "<|24.26|>": 51576,
866
+ "<|24.28|>": 51577,
867
+ "<|24.30|>": 51578,
868
+ "<|24.32|>": 51579,
869
+ "<|24.34|>": 51580,
870
+ "<|24.36|>": 51581,
871
+ "<|24.38|>": 51582,
872
+ "<|24.40|>": 51583,
873
+ "<|24.42|>": 51584,
874
+ "<|24.44|>": 51585,
875
+ "<|24.46|>": 51586,
876
+ "<|24.48|>": 51587,
877
+ "<|24.50|>": 51588,
878
+ "<|24.52|>": 51589,
879
+ "<|24.54|>": 51590,
880
+ "<|24.56|>": 51591,
881
+ "<|24.58|>": 51592,
882
+ "<|24.60|>": 51593,
883
+ "<|24.62|>": 51594,
884
+ "<|24.64|>": 51595,
885
+ "<|24.66|>": 51596,
886
+ "<|24.68|>": 51597,
887
+ "<|24.70|>": 51598,
888
+ "<|24.72|>": 51599,
889
+ "<|24.74|>": 51600,
890
+ "<|24.76|>": 51601,
891
+ "<|24.78|>": 51602,
892
+ "<|24.80|>": 51603,
893
+ "<|24.82|>": 51604,
894
+ "<|24.84|>": 51605,
895
+ "<|24.86|>": 51606,
896
+ "<|24.88|>": 51607,
897
+ "<|24.90|>": 51608,
898
+ "<|24.92|>": 51609,
899
+ "<|24.94|>": 51610,
900
+ "<|24.96|>": 51611,
901
+ "<|24.98|>": 51612,
902
+ "<|25.00|>": 51613,
903
+ "<|25.02|>": 51614,
904
+ "<|25.04|>": 51615,
905
+ "<|25.06|>": 51616,
906
+ "<|25.08|>": 51617,
907
+ "<|25.10|>": 51618,
908
+ "<|25.12|>": 51619,
909
+ "<|25.14|>": 51620,
910
+ "<|25.16|>": 51621,
911
+ "<|25.18|>": 51622,
912
+ "<|25.20|>": 51623,
913
+ "<|25.22|>": 51624,
914
+ "<|25.24|>": 51625,
915
+ "<|25.26|>": 51626,
916
+ "<|25.28|>": 51627,
917
+ "<|25.30|>": 51628,
918
+ "<|25.32|>": 51629,
919
+ "<|25.34|>": 51630,
920
+ "<|25.36|>": 51631,
921
+ "<|25.38|>": 51632,
922
+ "<|25.40|>": 51633,
923
+ "<|25.42|>": 51634,
924
+ "<|25.44|>": 51635,
925
+ "<|25.46|>": 51636,
926
+ "<|25.48|>": 51637,
927
+ "<|25.50|>": 51638,
928
+ "<|25.52|>": 51639,
929
+ "<|25.54|>": 51640,
930
+ "<|25.56|>": 51641,
931
+ "<|25.58|>": 51642,
932
+ "<|25.60|>": 51643,
933
+ "<|25.62|>": 51644,
934
+ "<|25.64|>": 51645,
935
+ "<|25.66|>": 51646,
936
+ "<|25.68|>": 51647,
937
+ "<|25.70|>": 51648,
938
+ "<|25.72|>": 51649,
939
+ "<|25.74|>": 51650,
940
+ "<|25.76|>": 51651,
941
+ "<|25.78|>": 51652,
942
+ "<|25.80|>": 51653,
943
+ "<|25.82|>": 51654,
944
+ "<|25.84|>": 51655,
945
+ "<|25.86|>": 51656,
946
+ "<|25.88|>": 51657,
947
+ "<|25.90|>": 51658,
948
+ "<|25.92|>": 51659,
949
+ "<|25.94|>": 51660,
950
+ "<|25.96|>": 51661,
951
+ "<|25.98|>": 51662,
952
+ "<|26.00|>": 51663,
953
+ "<|26.02|>": 51664,
954
+ "<|26.04|>": 51665,
955
+ "<|26.06|>": 51666,
956
+ "<|26.08|>": 51667,
957
+ "<|26.10|>": 51668,
958
+ "<|26.12|>": 51669,
959
+ "<|26.14|>": 51670,
960
+ "<|26.16|>": 51671,
961
+ "<|26.18|>": 51672,
962
+ "<|26.20|>": 51673,
963
+ "<|26.22|>": 51674,
964
+ "<|26.24|>": 51675,
965
+ "<|26.26|>": 51676,
966
+ "<|26.28|>": 51677,
967
+ "<|26.30|>": 51678,
968
+ "<|26.32|>": 51679,
969
+ "<|26.34|>": 51680,
970
+ "<|26.36|>": 51681,
971
+ "<|26.38|>": 51682,
972
+ "<|26.40|>": 51683,
973
+ "<|26.42|>": 51684,
974
+ "<|26.44|>": 51685,
975
+ "<|26.46|>": 51686,
976
+ "<|26.48|>": 51687,
977
+ "<|26.50|>": 51688,
978
+ "<|26.52|>": 51689,
979
+ "<|26.54|>": 51690,
980
+ "<|26.56|>": 51691,
981
+ "<|26.58|>": 51692,
982
+ "<|26.60|>": 51693,
983
+ "<|26.62|>": 51694,
984
+ "<|26.64|>": 51695,
985
+ "<|26.66|>": 51696,
986
+ "<|26.68|>": 51697,
987
+ "<|26.70|>": 51698,
988
+ "<|26.72|>": 51699,
989
+ "<|26.74|>": 51700,
990
+ "<|26.76|>": 51701,
991
+ "<|26.78|>": 51702,
992
+ "<|26.80|>": 51703,
993
+ "<|26.82|>": 51704,
994
+ "<|26.84|>": 51705,
995
+ "<|26.86|>": 51706,
996
+ "<|26.88|>": 51707,
997
+ "<|26.90|>": 51708,
998
+ "<|26.92|>": 51709,
999
+ "<|26.94|>": 51710,
1000
+ "<|26.96|>": 51711,
1001
+ "<|26.98|>": 51712,
1002
+ "<|27.00|>": 51713,
1003
+ "<|27.02|>": 51714,
1004
+ "<|27.04|>": 51715,
1005
+ "<|27.06|>": 51716,
1006
+ "<|27.08|>": 51717,
1007
+ "<|27.10|>": 51718,
1008
+ "<|27.12|>": 51719,
1009
+ "<|27.14|>": 51720,
1010
+ "<|27.16|>": 51721,
1011
+ "<|27.18|>": 51722,
1012
+ "<|27.20|>": 51723,
1013
+ "<|27.22|>": 51724,
1014
+ "<|27.24|>": 51725,
1015
+ "<|27.26|>": 51726,
1016
+ "<|27.28|>": 51727,
1017
+ "<|27.30|>": 51728,
1018
+ "<|27.32|>": 51729,
1019
+ "<|27.34|>": 51730,
1020
+ "<|27.36|>": 51731,
1021
+ "<|27.38|>": 51732,
1022
+ "<|27.40|>": 51733,
1023
+ "<|27.42|>": 51734,
1024
+ "<|27.44|>": 51735,
1025
+ "<|27.46|>": 51736,
1026
+ "<|27.48|>": 51737,
1027
+ "<|27.50|>": 51738,
1028
+ "<|27.52|>": 51739,
1029
+ "<|27.54|>": 51740,
1030
+ "<|27.56|>": 51741,
1031
+ "<|27.58|>": 51742,
1032
+ "<|27.60|>": 51743,
1033
+ "<|27.62|>": 51744,
1034
+ "<|27.64|>": 51745,
1035
+ "<|27.66|>": 51746,
1036
+ "<|27.68|>": 51747,
1037
+ "<|27.70|>": 51748,
1038
+ "<|27.72|>": 51749,
1039
+ "<|27.74|>": 51750,
1040
+ "<|27.76|>": 51751,
1041
+ "<|27.78|>": 51752,
1042
+ "<|27.80|>": 51753,
1043
+ "<|27.82|>": 51754,
1044
+ "<|27.84|>": 51755,
1045
+ "<|27.86|>": 51756,
1046
+ "<|27.88|>": 51757,
1047
+ "<|27.90|>": 51758,
1048
+ "<|27.92|>": 51759,
1049
+ "<|27.94|>": 51760,
1050
+ "<|27.96|>": 51761,
1051
+ "<|27.98|>": 51762,
1052
+ "<|28.00|>": 51763,
1053
+ "<|28.02|>": 51764,
1054
+ "<|28.04|>": 51765,
1055
+ "<|28.06|>": 51766,
1056
+ "<|28.08|>": 51767,
1057
+ "<|28.10|>": 51768,
1058
+ "<|28.12|>": 51769,
1059
+ "<|28.14|>": 51770,
1060
+ "<|28.16|>": 51771,
1061
+ "<|28.18|>": 51772,
1062
+ "<|28.20|>": 51773,
1063
+ "<|28.22|>": 51774,
1064
+ "<|28.24|>": 51775,
1065
+ "<|28.26|>": 51776,
1066
+ "<|28.28|>": 51777,
1067
+ "<|28.30|>": 51778,
1068
+ "<|28.32|>": 51779,
1069
+ "<|28.34|>": 51780,
1070
+ "<|28.36|>": 51781,
1071
+ "<|28.38|>": 51782,
1072
+ "<|28.40|>": 51783,
1073
+ "<|28.42|>": 51784,
1074
+ "<|28.44|>": 51785,
1075
+ "<|28.46|>": 51786,
1076
+ "<|28.48|>": 51787,
1077
+ "<|28.50|>": 51788,
1078
+ "<|28.52|>": 51789,
1079
+ "<|28.54|>": 51790,
1080
+ "<|28.56|>": 51791,
1081
+ "<|28.58|>": 51792,
1082
+ "<|28.60|>": 51793,
1083
+ "<|28.62|>": 51794,
1084
+ "<|28.64|>": 51795,
1085
+ "<|28.66|>": 51796,
1086
+ "<|28.68|>": 51797,
1087
+ "<|28.70|>": 51798,
1088
+ "<|28.72|>": 51799,
1089
+ "<|28.74|>": 51800,
1090
+ "<|28.76|>": 51801,
1091
+ "<|28.78|>": 51802,
1092
+ "<|28.80|>": 51803,
1093
+ "<|28.82|>": 51804,
1094
+ "<|28.84|>": 51805,
1095
+ "<|28.86|>": 51806,
1096
+ "<|28.88|>": 51807,
1097
+ "<|28.90|>": 51808,
1098
+ "<|28.92|>": 51809,
1099
+ "<|28.94|>": 51810,
1100
+ "<|28.96|>": 51811,
1101
+ "<|28.98|>": 51812,
1102
+ "<|29.00|>": 51813,
1103
+ "<|29.02|>": 51814,
1104
+ "<|29.04|>": 51815,
1105
+ "<|29.06|>": 51816,
1106
+ "<|29.08|>": 51817,
1107
+ "<|29.10|>": 51818,
1108
+ "<|29.12|>": 51819,
1109
+ "<|29.14|>": 51820,
1110
+ "<|29.16|>": 51821,
1111
+ "<|29.18|>": 51822,
1112
+ "<|29.20|>": 51823,
1113
+ "<|29.22|>": 51824,
1114
+ "<|29.24|>": 51825,
1115
+ "<|29.26|>": 51826,
1116
+ "<|29.28|>": 51827,
1117
+ "<|29.30|>": 51828,
1118
+ "<|29.32|>": 51829,
1119
+ "<|29.34|>": 51830,
1120
+ "<|29.36|>": 51831,
1121
+ "<|29.38|>": 51832,
1122
+ "<|29.40|>": 51833,
1123
+ "<|29.42|>": 51834,
1124
+ "<|29.44|>": 51835,
1125
+ "<|29.46|>": 51836,
1126
+ "<|29.48|>": 51837,
1127
+ "<|29.50|>": 51838,
1128
+ "<|29.52|>": 51839,
1129
+ "<|29.54|>": 51840,
1130
+ "<|29.56|>": 51841,
1131
+ "<|29.58|>": 51842,
1132
+ "<|29.60|>": 51843,
1133
+ "<|29.62|>": 51844,
1134
+ "<|29.64|>": 51845,
1135
+ "<|29.66|>": 51846,
1136
+ "<|29.68|>": 51847,
1137
+ "<|29.70|>": 51848,
1138
+ "<|29.72|>": 51849,
1139
+ "<|29.74|>": 51850,
1140
+ "<|29.76|>": 51851,
1141
+ "<|29.78|>": 51852,
1142
+ "<|29.80|>": 51853,
1143
+ "<|29.82|>": 51854,
1144
+ "<|29.84|>": 51855,
1145
+ "<|29.86|>": 51856,
1146
+ "<|29.88|>": 51857,
1147
+ "<|29.90|>": 51858,
1148
+ "<|29.92|>": 51859,
1149
+ "<|29.94|>": 51860,
1150
+ "<|29.96|>": 51861,
1151
+ "<|29.98|>": 51862,
1152
+ "<|3.00|>": 50513,
1153
+ "<|3.02|>": 50514,
1154
+ "<|3.04|>": 50515,
1155
+ "<|3.06|>": 50516,
1156
+ "<|3.08|>": 50517,
1157
+ "<|3.10|>": 50518,
1158
+ "<|3.12|>": 50519,
1159
+ "<|3.14|>": 50520,
1160
+ "<|3.16|>": 50521,
1161
+ "<|3.18|>": 50522,
1162
+ "<|3.20|>": 50523,
1163
+ "<|3.22|>": 50524,
1164
+ "<|3.24|>": 50525,
1165
+ "<|3.26|>": 50526,
1166
+ "<|3.28|>": 50527,
1167
+ "<|3.30|>": 50528,
1168
+ "<|3.32|>": 50529,
1169
+ "<|3.34|>": 50530,
1170
+ "<|3.36|>": 50531,
1171
+ "<|3.38|>": 50532,
1172
+ "<|3.40|>": 50533,
1173
+ "<|3.42|>": 50534,
1174
+ "<|3.44|>": 50535,
1175
+ "<|3.46|>": 50536,
1176
+ "<|3.48|>": 50537,
1177
+ "<|3.50|>": 50538,
1178
+ "<|3.52|>": 50539,
1179
+ "<|3.54|>": 50540,
1180
+ "<|3.56|>": 50541,
1181
+ "<|3.58|>": 50542,
1182
+ "<|3.60|>": 50543,
1183
+ "<|3.62|>": 50544,
1184
+ "<|3.64|>": 50545,
1185
+ "<|3.66|>": 50546,
1186
+ "<|3.68|>": 50547,
1187
+ "<|3.70|>": 50548,
1188
+ "<|3.72|>": 50549,
1189
+ "<|3.74|>": 50550,
1190
+ "<|3.76|>": 50551,
1191
+ "<|3.78|>": 50552,
1192
+ "<|3.80|>": 50553,
1193
+ "<|3.82|>": 50554,
1194
+ "<|3.84|>": 50555,
1195
+ "<|3.86|>": 50556,
1196
+ "<|3.88|>": 50557,
1197
+ "<|3.90|>": 50558,
1198
+ "<|3.92|>": 50559,
1199
+ "<|3.94|>": 50560,
1200
+ "<|3.96|>": 50561,
1201
+ "<|3.98|>": 50562,
1202
+ "<|30.00|>": 51863,
1203
+ "<|4.00|>": 50563,
1204
+ "<|4.02|>": 50564,
1205
+ "<|4.04|>": 50565,
1206
+ "<|4.06|>": 50566,
1207
+ "<|4.08|>": 50567,
1208
+ "<|4.10|>": 50568,
1209
+ "<|4.12|>": 50569,
1210
+ "<|4.14|>": 50570,
1211
+ "<|4.16|>": 50571,
1212
+ "<|4.18|>": 50572,
1213
+ "<|4.20|>": 50573,
1214
+ "<|4.22|>": 50574,
1215
+ "<|4.24|>": 50575,
1216
+ "<|4.26|>": 50576,
1217
+ "<|4.28|>": 50577,
1218
+ "<|4.30|>": 50578,
1219
+ "<|4.32|>": 50579,
1220
+ "<|4.34|>": 50580,
1221
+ "<|4.36|>": 50581,
1222
+ "<|4.38|>": 50582,
1223
+ "<|4.40|>": 50583,
1224
+ "<|4.42|>": 50584,
1225
+ "<|4.44|>": 50585,
1226
+ "<|4.46|>": 50586,
1227
+ "<|4.48|>": 50587,
1228
+ "<|4.50|>": 50588,
1229
+ "<|4.52|>": 50589,
1230
+ "<|4.54|>": 50590,
1231
+ "<|4.56|>": 50591,
1232
+ "<|4.58|>": 50592,
1233
+ "<|4.60|>": 50593,
1234
+ "<|4.62|>": 50594,
1235
+ "<|4.64|>": 50595,
1236
+ "<|4.66|>": 50596,
1237
+ "<|4.68|>": 50597,
1238
+ "<|4.70|>": 50598,
1239
+ "<|4.72|>": 50599,
1240
+ "<|4.74|>": 50600,
1241
+ "<|4.76|>": 50601,
1242
+ "<|4.78|>": 50602,
1243
+ "<|4.80|>": 50603,
1244
+ "<|4.82|>": 50604,
1245
+ "<|4.84|>": 50605,
1246
+ "<|4.86|>": 50606,
1247
+ "<|4.88|>": 50607,
1248
+ "<|4.90|>": 50608,
1249
+ "<|4.92|>": 50609,
1250
+ "<|4.94|>": 50610,
1251
+ "<|4.96|>": 50611,
1252
+ "<|4.98|>": 50612,
1253
+ "<|5.00|>": 50613,
1254
+ "<|5.02|>": 50614,
1255
+ "<|5.04|>": 50615,
1256
+ "<|5.06|>": 50616,
1257
+ "<|5.08|>": 50617,
1258
+ "<|5.10|>": 50618,
1259
+ "<|5.12|>": 50619,
1260
+ "<|5.14|>": 50620,
1261
+ "<|5.16|>": 50621,
1262
+ "<|5.18|>": 50622,
1263
+ "<|5.20|>": 50623,
1264
+ "<|5.22|>": 50624,
1265
+ "<|5.24|>": 50625,
1266
+ "<|5.26|>": 50626,
1267
+ "<|5.28|>": 50627,
1268
+ "<|5.30|>": 50628,
1269
+ "<|5.32|>": 50629,
1270
+ "<|5.34|>": 50630,
1271
+ "<|5.36|>": 50631,
1272
+ "<|5.38|>": 50632,
1273
+ "<|5.40|>": 50633,
1274
+ "<|5.42|>": 50634,
1275
+ "<|5.44|>": 50635,
1276
+ "<|5.46|>": 50636,
1277
+ "<|5.48|>": 50637,
1278
+ "<|5.50|>": 50638,
1279
+ "<|5.52|>": 50639,
1280
+ "<|5.54|>": 50640,
1281
+ "<|5.56|>": 50641,
1282
+ "<|5.58|>": 50642,
1283
+ "<|5.60|>": 50643,
1284
+ "<|5.62|>": 50644,
1285
+ "<|5.64|>": 50645,
1286
+ "<|5.66|>": 50646,
1287
+ "<|5.68|>": 50647,
1288
+ "<|5.70|>": 50648,
1289
+ "<|5.72|>": 50649,
1290
+ "<|5.74|>": 50650,
1291
+ "<|5.76|>": 50651,
1292
+ "<|5.78|>": 50652,
1293
+ "<|5.80|>": 50653,
1294
+ "<|5.82|>": 50654,
1295
+ "<|5.84|>": 50655,
1296
+ "<|5.86|>": 50656,
1297
+ "<|5.88|>": 50657,
1298
+ "<|5.90|>": 50658,
1299
+ "<|5.92|>": 50659,
1300
+ "<|5.94|>": 50660,
1301
+ "<|5.96|>": 50661,
1302
+ "<|5.98|>": 50662,
1303
+ "<|6.00|>": 50663,
1304
+ "<|6.02|>": 50664,
1305
+ "<|6.04|>": 50665,
1306
+ "<|6.06|>": 50666,
1307
+ "<|6.08|>": 50667,
1308
+ "<|6.10|>": 50668,
1309
+ "<|6.12|>": 50669,
1310
+ "<|6.14|>": 50670,
1311
+ "<|6.16|>": 50671,
1312
+ "<|6.18|>": 50672,
1313
+ "<|6.20|>": 50673,
1314
+ "<|6.22|>": 50674,
1315
+ "<|6.24|>": 50675,
1316
+ "<|6.26|>": 50676,
1317
+ "<|6.28|>": 50677,
1318
+ "<|6.30|>": 50678,
1319
+ "<|6.32|>": 50679,
1320
+ "<|6.34|>": 50680,
1321
+ "<|6.36|>": 50681,
1322
+ "<|6.38|>": 50682,
1323
+ "<|6.40|>": 50683,
1324
+ "<|6.42|>": 50684,
1325
+ "<|6.44|>": 50685,
1326
+ "<|6.46|>": 50686,
1327
+ "<|6.48|>": 50687,
1328
+ "<|6.50|>": 50688,
1329
+ "<|6.52|>": 50689,
1330
+ "<|6.54|>": 50690,
1331
+ "<|6.56|>": 50691,
1332
+ "<|6.58|>": 50692,
1333
+ "<|6.60|>": 50693,
1334
+ "<|6.62|>": 50694,
1335
+ "<|6.64|>": 50695,
1336
+ "<|6.66|>": 50696,
1337
+ "<|6.68|>": 50697,
1338
+ "<|6.70|>": 50698,
1339
+ "<|6.72|>": 50699,
1340
+ "<|6.74|>": 50700,
1341
+ "<|6.76|>": 50701,
1342
+ "<|6.78|>": 50702,
1343
+ "<|6.80|>": 50703,
1344
+ "<|6.82|>": 50704,
1345
+ "<|6.84|>": 50705,
1346
+ "<|6.86|>": 50706,
1347
+ "<|6.88|>": 50707,
1348
+ "<|6.90|>": 50708,
1349
+ "<|6.92|>": 50709,
1350
+ "<|6.94|>": 50710,
1351
+ "<|6.96|>": 50711,
1352
+ "<|6.98|>": 50712,
1353
+ "<|7.00|>": 50713,
1354
+ "<|7.02|>": 50714,
1355
+ "<|7.04|>": 50715,
1356
+ "<|7.06|>": 50716,
1357
+ "<|7.08|>": 50717,
1358
+ "<|7.10|>": 50718,
1359
+ "<|7.12|>": 50719,
1360
+ "<|7.14|>": 50720,
1361
+ "<|7.16|>": 50721,
1362
+ "<|7.18|>": 50722,
1363
+ "<|7.20|>": 50723,
1364
+ "<|7.22|>": 50724,
1365
+ "<|7.24|>": 50725,
1366
+ "<|7.26|>": 50726,
1367
+ "<|7.28|>": 50727,
1368
+ "<|7.30|>": 50728,
1369
+ "<|7.32|>": 50729,
1370
+ "<|7.34|>": 50730,
1371
+ "<|7.36|>": 50731,
1372
+ "<|7.38|>": 50732,
1373
+ "<|7.40|>": 50733,
1374
+ "<|7.42|>": 50734,
1375
+ "<|7.44|>": 50735,
1376
+ "<|7.46|>": 50736,
1377
+ "<|7.48|>": 50737,
1378
+ "<|7.50|>": 50738,
1379
+ "<|7.52|>": 50739,
1380
+ "<|7.54|>": 50740,
1381
+ "<|7.56|>": 50741,
1382
+ "<|7.58|>": 50742,
1383
+ "<|7.60|>": 50743,
1384
+ "<|7.62|>": 50744,
1385
+ "<|7.64|>": 50745,
1386
+ "<|7.66|>": 50746,
1387
+ "<|7.68|>": 50747,
1388
+ "<|7.70|>": 50748,
1389
+ "<|7.72|>": 50749,
1390
+ "<|7.74|>": 50750,
1391
+ "<|7.76|>": 50751,
1392
+ "<|7.78|>": 50752,
1393
+ "<|7.80|>": 50753,
1394
+ "<|7.82|>": 50754,
1395
+ "<|7.84|>": 50755,
1396
+ "<|7.86|>": 50756,
1397
+ "<|7.88|>": 50757,
1398
+ "<|7.90|>": 50758,
1399
+ "<|7.92|>": 50759,
1400
+ "<|7.94|>": 50760,
1401
+ "<|7.96|>": 50761,
1402
+ "<|7.98|>": 50762,
1403
+ "<|8.00|>": 50763,
1404
+ "<|8.02|>": 50764,
1405
+ "<|8.04|>": 50765,
1406
+ "<|8.06|>": 50766,
1407
+ "<|8.08|>": 50767,
1408
+ "<|8.10|>": 50768,
1409
+ "<|8.12|>": 50769,
1410
+ "<|8.14|>": 50770,
1411
+ "<|8.16|>": 50771,
1412
+ "<|8.18|>": 50772,
1413
+ "<|8.20|>": 50773,
1414
+ "<|8.22|>": 50774,
1415
+ "<|8.24|>": 50775,
1416
+ "<|8.26|>": 50776,
1417
+ "<|8.28|>": 50777,
1418
+ "<|8.30|>": 50778,
1419
+ "<|8.32|>": 50779,
1420
+ "<|8.34|>": 50780,
1421
+ "<|8.36|>": 50781,
1422
+ "<|8.38|>": 50782,
1423
+ "<|8.40|>": 50783,
1424
+ "<|8.42|>": 50784,
1425
+ "<|8.44|>": 50785,
1426
+ "<|8.46|>": 50786,
1427
+ "<|8.48|>": 50787,
1428
+ "<|8.50|>": 50788,
1429
+ "<|8.52|>": 50789,
1430
+ "<|8.54|>": 50790,
1431
+ "<|8.56|>": 50791,
1432
+ "<|8.58|>": 50792,
1433
+ "<|8.60|>": 50793,
1434
+ "<|8.62|>": 50794,
1435
+ "<|8.64|>": 50795,
1436
+ "<|8.66|>": 50796,
1437
+ "<|8.68|>": 50797,
1438
+ "<|8.70|>": 50798,
1439
+ "<|8.72|>": 50799,
1440
+ "<|8.74|>": 50800,
1441
+ "<|8.76|>": 50801,
1442
+ "<|8.78|>": 50802,
1443
+ "<|8.80|>": 50803,
1444
+ "<|8.82|>": 50804,
1445
+ "<|8.84|>": 50805,
1446
+ "<|8.86|>": 50806,
1447
+ "<|8.88|>": 50807,
1448
+ "<|8.90|>": 50808,
1449
+ "<|8.92|>": 50809,
1450
+ "<|8.94|>": 50810,
1451
+ "<|8.96|>": 50811,
1452
+ "<|8.98|>": 50812,
1453
+ "<|9.00|>": 50813,
1454
+ "<|9.02|>": 50814,
1455
+ "<|9.04|>": 50815,
1456
+ "<|9.06|>": 50816,
1457
+ "<|9.08|>": 50817,
1458
+ "<|9.10|>": 50818,
1459
+ "<|9.12|>": 50819,
1460
+ "<|9.14|>": 50820,
1461
+ "<|9.16|>": 50821,
1462
+ "<|9.18|>": 50822,
1463
+ "<|9.20|>": 50823,
1464
+ "<|9.22|>": 50824,
1465
+ "<|9.24|>": 50825,
1466
+ "<|9.26|>": 50826,
1467
+ "<|9.28|>": 50827,
1468
+ "<|9.30|>": 50828,
1469
+ "<|9.32|>": 50829,
1470
+ "<|9.34|>": 50830,
1471
+ "<|9.36|>": 50831,
1472
+ "<|9.38|>": 50832,
1473
+ "<|9.40|>": 50833,
1474
+ "<|9.42|>": 50834,
1475
+ "<|9.44|>": 50835,
1476
+ "<|9.46|>": 50836,
1477
+ "<|9.48|>": 50837,
1478
+ "<|9.50|>": 50838,
1479
+ "<|9.52|>": 50839,
1480
+ "<|9.54|>": 50840,
1481
+ "<|9.56|>": 50841,
1482
+ "<|9.58|>": 50842,
1483
+ "<|9.60|>": 50843,
1484
+ "<|9.62|>": 50844,
1485
+ "<|9.64|>": 50845,
1486
+ "<|9.66|>": 50846,
1487
+ "<|9.68|>": 50847,
1488
+ "<|9.70|>": 50848,
1489
+ "<|9.72|>": 50849,
1490
+ "<|9.74|>": 50850,
1491
+ "<|9.76|>": 50851,
1492
+ "<|9.78|>": 50852,
1493
+ "<|9.80|>": 50853,
1494
+ "<|9.82|>": 50854,
1495
+ "<|9.84|>": 50855,
1496
+ "<|9.86|>": 50856,
1497
+ "<|9.88|>": 50857,
1498
+ "<|9.90|>": 50858,
1499
+ "<|9.92|>": 50859,
1500
+ "<|9.94|>": 50860,
1501
+ "<|9.96|>": 50861,
1502
+ "<|9.98|>": 50862,
1503
+ "<|af|>": 50326,
1504
+ "<|am|>": 50333,
1505
+ "<|ar|>": 50271,
1506
+ "<|as|>": 50349,
1507
+ "<|az|>": 50303,
1508
+ "<|ba|>": 50354,
1509
+ "<|be|>": 50329,
1510
+ "<|bg|>": 50291,
1511
+ "<|bn|>": 50301,
1512
+ "<|bo|>": 50346,
1513
+ "<|br|>": 50308,
1514
+ "<|bs|>": 50314,
1515
+ "<|ca|>": 50269,
1516
+ "<|cs|>": 50282,
1517
+ "<|cy|>": 50296,
1518
+ "<|da|>": 50284,
1519
+ "<|de|>": 50260,
1520
+ "<|el|>": 50280,
1521
+ "<|en|>": 50258,
1522
+ "<|es|>": 50261,
1523
+ "<|et|>": 50306,
1524
+ "<|eu|>": 50309,
1525
+ "<|fa|>": 50299,
1526
+ "<|fi|>": 50276,
1527
+ "<|fo|>": 50337,
1528
+ "<|fr|>": 50264,
1529
+ "<|gl|>": 50318,
1530
+ "<|gu|>": 50332,
1531
+ "<|haw|>": 50351,
1532
+ "<|ha|>": 50353,
1533
+ "<|hi|>": 50275,
1534
+ "<|hr|>": 50290,
1535
+ "<|ht|>": 50338,
1536
+ "<|hu|>": 50285,
1537
+ "<|hy|>": 50311,
1538
+ "<|id|>": 50274,
1539
+ "<|is|>": 50310,
1540
+ "<|it|>": 50273,
1541
+ "<|iw|>": 50278,
1542
+ "<|ja|>": 50265,
1543
+ "<|jw|>": 50355,
1544
+ "<|ka|>": 50328,
1545
+ "<|kk|>": 50315,
1546
+ "<|km|>": 50322,
1547
+ "<|kn|>": 50305,
1548
+ "<|ko|>": 50263,
1549
+ "<|la|>": 50293,
1550
+ "<|lb|>": 50344,
1551
+ "<|ln|>": 50352,
1552
+ "<|lo|>": 50335,
1553
+ "<|lt|>": 50292,
1554
+ "<|lv|>": 50300,
1555
+ "<|mg|>": 50348,
1556
+ "<|mi|>": 50294,
1557
+ "<|mk|>": 50307,
1558
+ "<|ml|>": 50295,
1559
+ "<|mn|>": 50313,
1560
+ "<|mr|>": 50319,
1561
+ "<|ms|>": 50281,
1562
+ "<|mt|>": 50342,
1563
+ "<|my|>": 50345,
1564
+ "<|ne|>": 50312,
1565
+ "<|nl|>": 50270,
1566
+ "<|nn|>": 50341,
1567
+ "<|nocaptions|>": 50361,
1568
+ "<|notimestamps|>": 50362,
1569
+ "<|no|>": 50287,
1570
+ "<|oc|>": 50327,
1571
+ "<|pa|>": 50320,
1572
+ "<|pl|>": 50268,
1573
+ "<|ps|>": 50339,
1574
+ "<|pt|>": 50266,
1575
+ "<|ro|>": 50283,
1576
+ "<|ru|>": 50262,
1577
+ "<|sa|>": 50343,
1578
+ "<|sd|>": 50331,
1579
+ "<|si|>": 50321,
1580
+ "<|sk|>": 50297,
1581
+ "<|sl|>": 50304,
1582
+ "<|sn|>": 50323,
1583
+ "<|so|>": 50325,
1584
+ "<|sq|>": 50316,
1585
+ "<|sr|>": 50302,
1586
+ "<|startoflm|>": 50359,
1587
+ "<|startofprev|>": 50360,
1588
+ "<|startoftranscript|>": 50257,
1589
+ "<|su|>": 50356,
1590
+ "<|sv|>": 50272,
1591
+ "<|sw|>": 50317,
1592
+ "<|ta|>": 50286,
1593
+ "<|te|>": 50298,
1594
+ "<|tg|>": 50330,
1595
+ "<|th|>": 50288,
1596
+ "<|tk|>": 50340,
1597
+ "<|tl|>": 50347,
1598
+ "<|transcribe|>": 50358,
1599
+ "<|translate|>": 50357,
1600
+ "<|tr|>": 50267,
1601
+ "<|tt|>": 50350,
1602
+ "<|uk|>": 50279,
1603
+ "<|ur|>": 50289,
1604
+ "<|uz|>": 50336,
1605
+ "<|vi|>": 50277,
1606
+ "<|yi|>": 50334,
1607
+ "<|yo|>": 50324,
1608
+ "<|zh|>": 50259
1609
+ }
Sound/config.json ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "LeroyDyer/Multi_Input_Model/Sound",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "gelu",
5
+ "architectures": [
6
+ "WhisperForConditionalGeneration"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "begin_suppress_tokens": [
10
+ 220,
11
+ 50256
12
+ ],
13
+ "bos_token_id": 50257,
14
+ "d_model": 1024,
15
+ "decoder_attention_heads": 16,
16
+ "decoder_ffn_dim": 4096,
17
+ "decoder_layerdrop": 0.0,
18
+ "decoder_layers": 24,
19
+ "decoder_start_token_id": 50257,
20
+ "dropout": 0.0,
21
+ "encoder_attention_heads": 16,
22
+ "encoder_ffn_dim": 4096,
23
+ "encoder_layerdrop": 0.0,
24
+ "encoder_layers": 24,
25
+ "eos_token_id": 50256,
26
+ "forced_decoder_ids": [
27
+ [
28
+ 1,
29
+ 50362
30
+ ]
31
+ ],
32
+ "init_std": 0.02,
33
+ "is_encoder_decoder": true,
34
+ "max_length": 448,
35
+ "max_source_positions": 1500,
36
+ "max_target_positions": 448,
37
+ "model_type": "whisper",
38
+ "num_hidden_layers": 24,
39
+ "num_mel_bins": 80,
40
+ "pad_token_id": 50256,
41
+ "scale_embedding": false,
42
+ "suppress_tokens": [
43
+ 1,
44
+ 2,
45
+ 7,
46
+ 8,
47
+ 9,
48
+ 10,
49
+ 14,
50
+ 25,
51
+ 26,
52
+ 27,
53
+ 28,
54
+ 29,
55
+ 31,
56
+ 58,
57
+ 59,
58
+ 60,
59
+ 61,
60
+ 62,
61
+ 63,
62
+ 90,
63
+ 91,
64
+ 92,
65
+ 93,
66
+ 357,
67
+ 366,
68
+ 438,
69
+ 532,
70
+ 685,
71
+ 705,
72
+ 796,
73
+ 930,
74
+ 1058,
75
+ 1220,
76
+ 1267,
77
+ 1279,
78
+ 1303,
79
+ 1343,
80
+ 1377,
81
+ 1391,
82
+ 1635,
83
+ 1782,
84
+ 1875,
85
+ 2162,
86
+ 2361,
87
+ 2488,
88
+ 3467,
89
+ 4008,
90
+ 4211,
91
+ 4600,
92
+ 4808,
93
+ 5299,
94
+ 5855,
95
+ 6329,
96
+ 7203,
97
+ 9609,
98
+ 9959,
99
+ 10563,
100
+ 10786,
101
+ 11420,
102
+ 11709,
103
+ 11907,
104
+ 13163,
105
+ 13697,
106
+ 13700,
107
+ 14808,
108
+ 15306,
109
+ 16410,
110
+ 16791,
111
+ 17992,
112
+ 19203,
113
+ 19510,
114
+ 20724,
115
+ 22305,
116
+ 22935,
117
+ 27007,
118
+ 30109,
119
+ 30420,
120
+ 33409,
121
+ 34949,
122
+ 40283,
123
+ 40493,
124
+ 40549,
125
+ 47282,
126
+ 49146,
127
+ 50257,
128
+ 50357,
129
+ 50358,
130
+ 50359,
131
+ 50360,
132
+ 50361
133
+ ],
134
+ "torch_dtype": "float32",
135
+ "transformers_version": "4.27.0.dev0",
136
+ "use_cache": true,
137
+ "vocab_size": 51864
138
+ }
Sound/generation_config.json ADDED
@@ -0,0 +1,189 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alignment_heads": [
3
+ [
4
+ 11,
5
+ 4
6
+ ],
7
+ [
8
+ 14,
9
+ 1
10
+ ],
11
+ [
12
+ 14,
13
+ 12
14
+ ],
15
+ [
16
+ 14,
17
+ 14
18
+ ],
19
+ [
20
+ 15,
21
+ 4
22
+ ],
23
+ [
24
+ 16,
25
+ 0
26
+ ],
27
+ [
28
+ 16,
29
+ 4
30
+ ],
31
+ [
32
+ 16,
33
+ 9
34
+ ],
35
+ [
36
+ 17,
37
+ 12
38
+ ],
39
+ [
40
+ 17,
41
+ 14
42
+ ],
43
+ [
44
+ 18,
45
+ 7
46
+ ],
47
+ [
48
+ 18,
49
+ 10
50
+ ],
51
+ [
52
+ 18,
53
+ 15
54
+ ],
55
+ [
56
+ 20,
57
+ 0
58
+ ],
59
+ [
60
+ 20,
61
+ 3
62
+ ],
63
+ [
64
+ 20,
65
+ 9
66
+ ],
67
+ [
68
+ 20,
69
+ 14
70
+ ],
71
+ [
72
+ 21,
73
+ 12
74
+ ]
75
+ ],
76
+ "begin_suppress_tokens": [
77
+ 220,
78
+ 50256
79
+ ],
80
+ "bos_token_id": 50257,
81
+ "decoder_start_token_id": 50257,
82
+ "eos_token_id": 50256,
83
+ "forced_decoder_ids": [
84
+ [
85
+ 1,
86
+ 50362
87
+ ]
88
+ ],
89
+ "is_multilingual": false,
90
+ "max_initial_timestamp_index": 50,
91
+ "max_length": 448,
92
+ "no_timestamps_token_id": 50362,
93
+ "pad_token_id": 50256,
94
+ "prev_sot_token_id": 50360,
95
+ "return_timestamps": false,
96
+ "suppress_tokens": [
97
+ 1,
98
+ 2,
99
+ 7,
100
+ 8,
101
+ 9,
102
+ 10,
103
+ 14,
104
+ 25,
105
+ 26,
106
+ 27,
107
+ 28,
108
+ 29,
109
+ 31,
110
+ 58,
111
+ 59,
112
+ 60,
113
+ 61,
114
+ 62,
115
+ 63,
116
+ 90,
117
+ 91,
118
+ 92,
119
+ 93,
120
+ 357,
121
+ 366,
122
+ 438,
123
+ 532,
124
+ 685,
125
+ 705,
126
+ 796,
127
+ 930,
128
+ 1058,
129
+ 1220,
130
+ 1267,
131
+ 1279,
132
+ 1303,
133
+ 1343,
134
+ 1377,
135
+ 1391,
136
+ 1635,
137
+ 1782,
138
+ 1875,
139
+ 2162,
140
+ 2361,
141
+ 2488,
142
+ 3467,
143
+ 4008,
144
+ 4211,
145
+ 4600,
146
+ 4808,
147
+ 5299,
148
+ 5855,
149
+ 6329,
150
+ 7203,
151
+ 9609,
152
+ 9959,
153
+ 10563,
154
+ 10786,
155
+ 11420,
156
+ 11709,
157
+ 11907,
158
+ 13163,
159
+ 13697,
160
+ 13700,
161
+ 14808,
162
+ 15306,
163
+ 16410,
164
+ 16791,
165
+ 17992,
166
+ 19203,
167
+ 19510,
168
+ 20724,
169
+ 22305,
170
+ 22935,
171
+ 27007,
172
+ 30109,
173
+ 30420,
174
+ 33409,
175
+ 34949,
176
+ 40283,
177
+ 40493,
178
+ 40549,
179
+ 47282,
180
+ 49146,
181
+ 50257,
182
+ 50357,
183
+ 50358,
184
+ 50359,
185
+ 50360,
186
+ 50361
187
+ ],
188
+ "transformers_version": "4.31.0.dev0"
189
+ }
Sound/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
Sound/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f731340f569588236c21f794c33e83b7cc5a297511d2bdc30117ea969004311
3
+ size 3055540208
Sound/normalizer.json ADDED
@@ -0,0 +1,1742 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "accessorise": "accessorize",
3
+ "accessorised": "accessorized",
4
+ "accessorises": "accessorizes",
5
+ "accessorising": "accessorizing",
6
+ "acclimatisation": "acclimatization",
7
+ "acclimatise": "acclimatize",
8
+ "acclimatised": "acclimatized",
9
+ "acclimatises": "acclimatizes",
10
+ "acclimatising": "acclimatizing",
11
+ "accoutrements": "accouterments",
12
+ "aeon": "eon",
13
+ "aeons": "eons",
14
+ "aerogramme": "aerogram",
15
+ "aerogrammes": "aerograms",
16
+ "aeroplane": "airplane",
17
+ "aeroplanes": "airplanes",
18
+ "aesthete": "esthete",
19
+ "aesthetes": "esthetes",
20
+ "aesthetic": "esthetic",
21
+ "aesthetically": "esthetically",
22
+ "aesthetics": "esthetics",
23
+ "aetiology": "etiology",
24
+ "ageing": "aging",
25
+ "aggrandisement": "aggrandizement",
26
+ "agonise": "agonize",
27
+ "agonised": "agonized",
28
+ "agonises": "agonizes",
29
+ "agonising": "agonizing",
30
+ "agonisingly": "agonizingly",
31
+ "almanack": "almanac",
32
+ "almanacks": "almanacs",
33
+ "aluminium": "aluminum",
34
+ "amortisable": "amortizable",
35
+ "amortisation": "amortization",
36
+ "amortisations": "amortizations",
37
+ "amortise": "amortize",
38
+ "amortised": "amortized",
39
+ "amortises": "amortizes",
40
+ "amortising": "amortizing",
41
+ "amphitheatre": "amphitheater",
42
+ "amphitheatres": "amphitheaters",
43
+ "anaemia": "anemia",
44
+ "anaemic": "anemic",
45
+ "anaesthesia": "anesthesia",
46
+ "anaesthetic": "anesthetic",
47
+ "anaesthetics": "anesthetics",
48
+ "anaesthetise": "anesthetize",
49
+ "anaesthetised": "anesthetized",
50
+ "anaesthetises": "anesthetizes",
51
+ "anaesthetising": "anesthetizing",
52
+ "anaesthetist": "anesthetist",
53
+ "anaesthetists": "anesthetists",
54
+ "anaesthetize": "anesthetize",
55
+ "anaesthetized": "anesthetized",
56
+ "anaesthetizes": "anesthetizes",
57
+ "anaesthetizing": "anesthetizing",
58
+ "analogue": "analog",
59
+ "analogues": "analogs",
60
+ "analyse": "analyze",
61
+ "analysed": "analyzed",
62
+ "analyses": "analyzes",
63
+ "analysing": "analyzing",
64
+ "anglicise": "anglicize",
65
+ "anglicised": "anglicized",
66
+ "anglicises": "anglicizes",
67
+ "anglicising": "anglicizing",
68
+ "annualised": "annualized",
69
+ "antagonise": "antagonize",
70
+ "antagonised": "antagonized",
71
+ "antagonises": "antagonizes",
72
+ "antagonising": "antagonizing",
73
+ "apologise": "apologize",
74
+ "apologised": "apologized",
75
+ "apologises": "apologizes",
76
+ "apologising": "apologizing",
77
+ "appal": "appall",
78
+ "appals": "appalls",
79
+ "appetiser": "appetizer",
80
+ "appetisers": "appetizers",
81
+ "appetising": "appetizing",
82
+ "appetisingly": "appetizingly",
83
+ "arbour": "arbor",
84
+ "arbours": "arbors",
85
+ "archaeologically": "archeologically",
86
+ "archaeologist": "archeologist",
87
+ "archaeologists": "archeologists",
88
+ "archaeology": "archeology</span>",
89
+ "archeological": "archaeological",
90
+ "ardour": "ardor",
91
+ "armour": "armor",
92
+ "armoured": "armored",
93
+ "armourer": "armorer",
94
+ "armourers": "armorers",
95
+ "armouries": "armories",
96
+ "armoury": "armory",
97
+ "artefact": "artifact",
98
+ "artefacts": "artifacts",
99
+ "authorise": "authorize",
100
+ "authorised": "authorized",
101
+ "authorises": "authorizes",
102
+ "authorising": "authorizing",
103
+ "axe": "ax",
104
+ "backpedalled": "backpedaled",
105
+ "backpedalling": "backpedaling",
106
+ "bannister": "banister",
107
+ "bannisters": "banisters",
108
+ "baptise": "baptize",
109
+ "baptised": "baptized",
110
+ "baptises": "baptizes",
111
+ "baptising": "baptizing",
112
+ "bastardise": "bastardize",
113
+ "bastardised": "bastardized",
114
+ "bastardises": "bastardizes",
115
+ "bastardising": "bastardizing",
116
+ "battleax": "battleaxe",
117
+ "baulk": "balk",
118
+ "baulked": "balked",
119
+ "baulking": "balking",
120
+ "baulks": "balks",
121
+ "bedevilled": "bedeviled",
122
+ "bedevilling": "bedeviling",
123
+ "behaviour": "behavior",
124
+ "behavioural": "behavioral",
125
+ "behaviourism": "behaviorism",
126
+ "behaviourist": "behaviorist",
127
+ "behaviourists": "behaviorists",
128
+ "behaviours": "behaviors",
129
+ "behove": "behoove",
130
+ "behoved": "behooved",
131
+ "behoves": "behooves",
132
+ "bejewelled": "bejeweled",
133
+ "belabour": "belabor",
134
+ "belaboured": "belabored",
135
+ "belabouring": "belaboring",
136
+ "belabours": "belabors",
137
+ "bevelled": "beveled",
138
+ "bevvies": "bevies",
139
+ "bevvy": "bevy",
140
+ "biassed": "biased",
141
+ "biassing": "biasing",
142
+ "bingeing": "binging",
143
+ "bougainvillaea": "bougainvillea",
144
+ "bougainvillaeas": "bougainvilleas",
145
+ "bowdlerise": "bowdlerize",
146
+ "bowdlerised": "bowdlerized",
147
+ "bowdlerises": "bowdlerizes",
148
+ "bowdlerising": "bowdlerizing",
149
+ "breathalyse": "breathalyze",
150
+ "breathalysed": "breathalyzed",
151
+ "breathalyser": "breathalyzer",
152
+ "breathalysers": "breathalyzers",
153
+ "breathalyses": "breathalyzes",
154
+ "breathalysing": "breathalyzing",
155
+ "brutalise": "brutalize",
156
+ "brutalised": "brutalized",
157
+ "brutalises": "brutalizes",
158
+ "brutalising": "brutalizing",
159
+ "busses": "buses",
160
+ "bussing": "busing",
161
+ "caesarean": "cesarean",
162
+ "caesareans": "cesareans",
163
+ "calibre": "caliber",
164
+ "calibres": "calibers",
165
+ "calliper": "caliper",
166
+ "callipers": "calipers",
167
+ "callisthenics": "calisthenics",
168
+ "canalise": "canalize",
169
+ "canalised": "canalized",
170
+ "canalises": "canalizes",
171
+ "canalising": "canalizing",
172
+ "cancelation": "cancellation",
173
+ "cancelations": "cancellations",
174
+ "cancelled": "canceled",
175
+ "cancelling": "canceling",
176
+ "candour": "candor",
177
+ "cannibalise": "cannibalize",
178
+ "cannibalised": "cannibalized",
179
+ "cannibalises": "cannibalizes",
180
+ "cannibalising": "cannibalizing",
181
+ "canonise": "canonize",
182
+ "canonised": "canonized",
183
+ "canonises": "canonizes",
184
+ "canonising": "canonizing",
185
+ "capitalise": "capitalize",
186
+ "capitalised": "capitalized",
187
+ "capitalises": "capitalizes",
188
+ "capitalising": "capitalizing",
189
+ "caramelise": "caramelize",
190
+ "caramelised": "caramelized",
191
+ "caramelises": "caramelizes",
192
+ "caramelising": "caramelizing",
193
+ "carbonise": "carbonize",
194
+ "carbonised": "carbonized",
195
+ "carbonises": "carbonizes",
196
+ "carbonising": "carbonizing",
197
+ "carolled": "caroled",
198
+ "carolling": "caroling",
199
+ "catalogue": "catalog",
200
+ "catalogued": "cataloged",
201
+ "catalogues": "catalogs",
202
+ "cataloguing": "cataloging",
203
+ "catalyse": "catalyze",
204
+ "catalysed": "catalyzed",
205
+ "catalyses": "catalyzes",
206
+ "catalysing": "catalyzing",
207
+ "categorise": "categorize",
208
+ "categorised": "categorized",
209
+ "categorises": "categorizes",
210
+ "categorising": "categorizing",
211
+ "cauterise": "cauterize",
212
+ "cauterised": "cauterized",
213
+ "cauterises": "cauterizes",
214
+ "cauterising": "cauterizing",
215
+ "cavilled": "caviled",
216
+ "cavilling": "caviling",
217
+ "centigramme": "centigram",
218
+ "centigrammes": "centigrams",
219
+ "centilitre": "centiliter",
220
+ "centilitres": "centiliters",
221
+ "centimetre": "centimeter",
222
+ "centimetres": "centimeters",
223
+ "centralise": "centralize",
224
+ "centralised": "centralized",
225
+ "centralises": "centralizes",
226
+ "centralising": "centralizing",
227
+ "centre": "center",
228
+ "centred": "centered",
229
+ "centrefold": "centerfold",
230
+ "centrefolds": "centerfolds",
231
+ "centrepiece": "centerpiece",
232
+ "centrepieces": "centerpieces",
233
+ "centres": "centers",
234
+ "channelled": "channeled",
235
+ "channelling": "channeling",
236
+ "characterise": "characterize",
237
+ "characterised": "characterized",
238
+ "characterises": "characterizes",
239
+ "characterising": "characterizing",
240
+ "cheque": "check",
241
+ "chequebook": "checkbook",
242
+ "chequebooks": "checkbooks",
243
+ "chequered": "checkered",
244
+ "cheques": "checks",
245
+ "chilli": "chili",
246
+ "chimaera": "chimera",
247
+ "chimaeras": "chimeras",
248
+ "chiselled": "chiseled",
249
+ "chiselling": "chiseling",
250
+ "circularise": "circularize",
251
+ "circularised": "circularized",
252
+ "circularises": "circularizes",
253
+ "circularising": "circularizing",
254
+ "civilise": "civilize",
255
+ "civilised": "civilized",
256
+ "civilises": "civilizes",
257
+ "civilising": "civilizing",
258
+ "clamour": "clamor",
259
+ "clamoured": "clamored",
260
+ "clamouring": "clamoring",
261
+ "clamours": "clamors",
262
+ "clangour": "clangor",
263
+ "clarinettist": "clarinetist",
264
+ "clarinettists": "clarinetists",
265
+ "collectivise": "collectivize",
266
+ "collectivised": "collectivized",
267
+ "collectivises": "collectivizes",
268
+ "collectivising": "collectivizing",
269
+ "colonisation": "colonization",
270
+ "colonise": "colonize",
271
+ "colonised": "colonized",
272
+ "coloniser": "colonizer",
273
+ "colonisers": "colonizers",
274
+ "colonises": "colonizes",
275
+ "colonising": "colonizing",
276
+ "colour": "color",
277
+ "colourant": "colorant",
278
+ "colourants": "colorants",
279
+ "coloured": "colored",
280
+ "coloureds": "coloreds",
281
+ "colourful": "colorful",
282
+ "colourfully": "colorfully",
283
+ "colouring": "coloring",
284
+ "colourize": "colorize",
285
+ "colourized": "colorized",
286
+ "colourizes": "colorizes",
287
+ "colourizing": "colorizing",
288
+ "colourless": "colorless",
289
+ "colours": "colors",
290
+ "commercialise": "commercialize",
291
+ "commercialised": "commercialized",
292
+ "commercialises": "commercializes",
293
+ "commercialising": "commercializing",
294
+ "compartmentalise": "compartmentalize",
295
+ "compartmentalised": "compartmentalized",
296
+ "compartmentalises": "compartmentalizes",
297
+ "compartmentalising": "compartmentalizing",
298
+ "computerise": "computerize",
299
+ "computerised": "computerized",
300
+ "computerises": "computerizes",
301
+ "computerising": "computerizing",
302
+ "conceptualise": "conceptualize",
303
+ "conceptualised": "conceptualized",
304
+ "conceptualises": "conceptualizes",
305
+ "conceptualising": "conceptualizing",
306
+ "connexion": "connection",
307
+ "connexions": "connections",
308
+ "contextualise": "contextualize",
309
+ "contextualised": "contextualized",
310
+ "contextualises": "contextualizes",
311
+ "contextualising": "contextualizing",
312
+ "cosier": "cozier",
313
+ "cosies": "cozies",
314
+ "cosiest": "coziest",
315
+ "cosily": "cozily",
316
+ "cosiness": "coziness",
317
+ "cosy": "cozy",
318
+ "councillor": "councilor",
319
+ "councillors": "councilors",
320
+ "counselled": "counseled",
321
+ "counselling": "counseling",
322
+ "counsellor": "counselor",
323
+ "counsellors": "counselors",
324
+ "crenelated": "crenellated",
325
+ "criminalise": "criminalize",
326
+ "criminalised": "criminalized",
327
+ "criminalises": "criminalizes",
328
+ "criminalising": "criminalizing",
329
+ "criticise": "criticize",
330
+ "criticised": "criticized",
331
+ "criticises": "criticizes",
332
+ "criticising": "criticizing",
333
+ "crueller": "crueler",
334
+ "cruellest": "cruelest",
335
+ "crystallisation": "crystallization",
336
+ "crystallise": "crystallize",
337
+ "crystallised": "crystallized",
338
+ "crystallises": "crystallizes",
339
+ "crystallising": "crystallizing",
340
+ "cudgelled": "cudgeled",
341
+ "cudgelling": "cudgeling",
342
+ "customise": "customize",
343
+ "customised": "customized",
344
+ "customises": "customizes",
345
+ "customising": "customizing",
346
+ "cypher": "cipher",
347
+ "cyphers": "ciphers",
348
+ "decentralisation": "decentralization",
349
+ "decentralise": "decentralize",
350
+ "decentralised": "decentralized",
351
+ "decentralises": "decentralizes",
352
+ "decentralising": "decentralizing",
353
+ "decriminalisation": "decriminalization",
354
+ "decriminalise": "decriminalize",
355
+ "decriminalised": "decriminalized",
356
+ "decriminalises": "decriminalizes",
357
+ "decriminalising": "decriminalizing",
358
+ "defence": "defense",
359
+ "defenceless": "defenseless",
360
+ "defences": "defenses",
361
+ "dehumanisation": "dehumanization",
362
+ "dehumanise": "dehumanize",
363
+ "dehumanised": "dehumanized",
364
+ "dehumanises": "dehumanizes",
365
+ "dehumanising": "dehumanizing",
366
+ "demeanour": "demeanor",
367
+ "demilitarisation": "demilitarization",
368
+ "demilitarise": "demilitarize",
369
+ "demilitarised": "demilitarized",
370
+ "demilitarises": "demilitarizes",
371
+ "demilitarising": "demilitarizing",
372
+ "demobilisation": "demobilization",
373
+ "demobilise": "demobilize",
374
+ "demobilised": "demobilized",
375
+ "demobilises": "demobilizes",
376
+ "demobilising": "demobilizing",
377
+ "democratisation": "democratization",
378
+ "democratise": "democratize",
379
+ "democratised": "democratized",
380
+ "democratises": "democratizes",
381
+ "democratising": "democratizing",
382
+ "demonise": "demonize",
383
+ "demonised": "demonized",
384
+ "demonises": "demonizes",
385
+ "demonising": "demonizing",
386
+ "demoralisation": "demoralization",
387
+ "demoralise": "demoralize",
388
+ "demoralised": "demoralized",
389
+ "demoralises": "demoralizes",
390
+ "demoralising": "demoralizing",
391
+ "denationalisation": "denationalization",
392
+ "denationalise": "denationalize",
393
+ "denationalised": "denationalized",
394
+ "denationalises": "denationalizes",
395
+ "denationalising": "denationalizing",
396
+ "deodorise": "deodorize",
397
+ "deodorised": "deodorized",
398
+ "deodorises": "deodorizes",
399
+ "deodorising": "deodorizing",
400
+ "depersonalise": "depersonalize",
401
+ "depersonalised": "depersonalized",
402
+ "depersonalises": "depersonalizes",
403
+ "depersonalising": "depersonalizing",
404
+ "deputise": "deputize",
405
+ "deputised": "deputized",
406
+ "deputises": "deputizes",
407
+ "deputising": "deputizing",
408
+ "desensitisation": "desensitization",
409
+ "desensitise": "desensitize",
410
+ "desensitised": "desensitized",
411
+ "desensitises": "desensitizes",
412
+ "desensitising": "desensitizing",
413
+ "destabilisation": "destabilization",
414
+ "destabilise": "destabilize",
415
+ "destabilised": "destabilized",
416
+ "destabilises": "destabilizes",
417
+ "destabilising": "destabilizing",
418
+ "dialled": "dialed",
419
+ "dialling": "dialing",
420
+ "dialogue": "dialog",
421
+ "dialogues": "dialogs",
422
+ "diarrhoea": "diarrhea",
423
+ "digitise": "digitize",
424
+ "digitised": "digitized",
425
+ "digitises": "digitizes",
426
+ "digitising": "digitizing",
427
+ "disc": "disk",
428
+ "discolour": "discolor",
429
+ "discoloured": "discolored",
430
+ "discolouring": "discoloring",
431
+ "discolours": "discolors",
432
+ "discs": "disks",
433
+ "disembowelled": "disemboweled",
434
+ "disembowelling": "disemboweling",
435
+ "disfavour": "disfavor",
436
+ "dishevelled": "disheveled",
437
+ "dishonour": "dishonor",
438
+ "dishonourable": "dishonorable",
439
+ "dishonourably": "dishonorably",
440
+ "dishonoured": "dishonored",
441
+ "dishonouring": "dishonoring",
442
+ "dishonours": "dishonors",
443
+ "disorganisation": "disorganization",
444
+ "disorganised": "disorganized",
445
+ "distil": "distill",
446
+ "distils": "distills",
447
+ "dramatisation": "dramatization",
448
+ "dramatisations": "dramatizations",
449
+ "dramatise": "dramatize",
450
+ "dramatised": "dramatized",
451
+ "dramatises": "dramatizes",
452
+ "dramatising": "dramatizing",
453
+ "draught": "draft",
454
+ "draughtboard": "draftboard",
455
+ "draughtboards": "draftboards",
456
+ "draughtier": "draftier",
457
+ "draughtiest": "draftiest",
458
+ "draughts": "drafts",
459
+ "draughtsman": "draftsman",
460
+ "draughtsmanship": "draftsmanship",
461
+ "draughtsmen": "draftsmen",
462
+ "draughtswoman": "draftswoman",
463
+ "draughtswomen": "draftswomen",
464
+ "draughty": "drafty",
465
+ "drivelled": "driveled",
466
+ "drivelling": "driveling",
467
+ "duelled": "dueled",
468
+ "duelling": "dueling",
469
+ "economise": "economize",
470
+ "economised": "economized",
471
+ "economises": "economizes",
472
+ "economising": "economizing",
473
+ "editorialise": "editorialize",
474
+ "editorialised": "editorialized",
475
+ "editorialises": "editorializes",
476
+ "editorialising": "editorializing",
477
+ "edoema": "edema",
478
+ "empathise": "empathize",
479
+ "empathised": "empathized",
480
+ "empathises": "empathizes",
481
+ "empathising": "empathizing",
482
+ "emphasise": "emphasize",
483
+ "emphasised": "emphasized",
484
+ "emphasises": "emphasizes",
485
+ "emphasising": "emphasizing",
486
+ "enamelled": "enameled",
487
+ "enamelling": "enameling",
488
+ "enamoured": "enamored",
489
+ "encyclopaedia": "encyclopedia",
490
+ "encyclopaedias": "encyclopedias",
491
+ "encyclopaedic": "encyclopedic",
492
+ "endeavour": "endeavor",
493
+ "endeavoured": "endeavored",
494
+ "endeavouring": "endeavoring",
495
+ "endeavours": "endeavors",
496
+ "energise": "energize",
497
+ "energised": "energized",
498
+ "energises": "energizes",
499
+ "energising": "energizing",
500
+ "enrol": "enroll",
501
+ "enrols": "enrolls",
502
+ "enthral": "enthrall",
503
+ "enthrals": "enthralls",
504
+ "epaulette": "epaulet",
505
+ "epaulettes": "epaulets",
506
+ "epicentre": "epicenter",
507
+ "epicentres": "epicenters",
508
+ "epilogue": "epilog",
509
+ "epilogues": "epilogs",
510
+ "epitomise": "epitomize",
511
+ "epitomised": "epitomized",
512
+ "epitomises": "epitomizes",
513
+ "epitomising": "epitomizing",
514
+ "equalisation": "equalization",
515
+ "equalise": "equalize",
516
+ "equalised": "equalized",
517
+ "equaliser": "equalizer",
518
+ "equalisers": "equalizers",
519
+ "equalises": "equalizes",
520
+ "equalising": "equalizing",
521
+ "eulogise": "eulogize",
522
+ "eulogised": "eulogized",
523
+ "eulogises": "eulogizes",
524
+ "eulogising": "eulogizing",
525
+ "evangelise": "evangelize",
526
+ "evangelised": "evangelized",
527
+ "evangelises": "evangelizes",
528
+ "evangelising": "evangelizing",
529
+ "exorcise": "exorcize",
530
+ "exorcised": "exorcized",
531
+ "exorcises": "exorcizes",
532
+ "exorcising": "exorcizing",
533
+ "extemporisation": "extemporization",
534
+ "extemporise": "extemporize",
535
+ "extemporised": "extemporized",
536
+ "extemporises": "extemporizes",
537
+ "extemporising": "extemporizing",
538
+ "externalisation": "externalization",
539
+ "externalisations": "externalizations",
540
+ "externalise": "externalize",
541
+ "externalised": "externalized",
542
+ "externalises": "externalizes",
543
+ "externalising": "externalizing",
544
+ "factorise": "factorize",
545
+ "factorised": "factorized",
546
+ "factorises": "factorizes",
547
+ "factorising": "factorizing",
548
+ "faecal": "fecal",
549
+ "faeces": "feces",
550
+ "familiarisation": "familiarization",
551
+ "familiarise": "familiarize",
552
+ "familiarised": "familiarized",
553
+ "familiarises": "familiarizes",
554
+ "familiarising": "familiarizing",
555
+ "fantasise": "fantasize",
556
+ "fantasised": "fantasized",
557
+ "fantasises": "fantasizes",
558
+ "fantasising": "fantasizing",
559
+ "favour": "favor",
560
+ "favourable": "favorable",
561
+ "favourably": "favorably",
562
+ "favoured": "favored",
563
+ "favouring": "favoring",
564
+ "favourite": "favorite",
565
+ "favourites": "favorites",
566
+ "favouritism": "favoritism",
567
+ "favours": "favors",
568
+ "feminise": "feminize",
569
+ "feminised": "feminized",
570
+ "feminises": "feminizes",
571
+ "feminising": "feminizing",
572
+ "fertilisation": "fertilization",
573
+ "fertilise": "fertilize",
574
+ "fertilised": "fertilized",
575
+ "fertiliser": "fertilizer",
576
+ "fertilisers": "fertilizers",
577
+ "fertilises": "fertilizes",
578
+ "fertilising": "fertilizing",
579
+ "fervour": "fervor",
580
+ "fibre": "fiber",
581
+ "fibreglass": "fiberglass",
582
+ "fibres": "fibers",
583
+ "fictionalisation": "fictionalization",
584
+ "fictionalisations": "fictionalizations",
585
+ "fictionalise": "fictionalize",
586
+ "fictionalised": "fictionalized",
587
+ "fictionalises": "fictionalizes",
588
+ "fictionalising": "fictionalizing",
589
+ "fillet": "filet",
590
+ "filleted": "fileted",
591
+ "filleting": "fileting",
592
+ "fillets": "filets",
593
+ "finalisation": "finalization",
594
+ "finalise": "finalize",
595
+ "finalised": "finalized",
596
+ "finalises": "finalizes",
597
+ "finalising": "finalizing",
598
+ "flautist": "flutist",
599
+ "flautists": "flutists",
600
+ "flavour": "flavor",
601
+ "flavoured": "flavored",
602
+ "flavouring": "flavoring",
603
+ "flavourings": "flavorings",
604
+ "flavourless": "flavorless",
605
+ "flavours": "flavors",
606
+ "flavoursome": "flavorsome",
607
+ "flyer / flier": "flier / flyer",
608
+ "foetal": "fetal",
609
+ "foetid": "fetid",
610
+ "foetus": "fetus",
611
+ "foetuses": "fetuses",
612
+ "formalisation": "formalization",
613
+ "formalise": "formalize",
614
+ "formalised": "formalized",
615
+ "formalises": "formalizes",
616
+ "formalising": "formalizing",
617
+ "fossilisation": "fossilization",
618
+ "fossilise": "fossilize",
619
+ "fossilised": "fossilized",
620
+ "fossilises": "fossilizes",
621
+ "fossilising": "fossilizing",
622
+ "fraternisation": "fraternization",
623
+ "fraternise": "fraternize",
624
+ "fraternised": "fraternized",
625
+ "fraternises": "fraternizes",
626
+ "fraternising": "fraternizing",
627
+ "fulfil": "fulfill",
628
+ "fulfilment": "fulfillment",
629
+ "fulfils": "fulfills",
630
+ "funnelled": "funneled",
631
+ "funnelling": "funneling",
632
+ "gage": "gauge",
633
+ "gaged": "gauged",
634
+ "gages": "gauges",
635
+ "gaging": "gauging",
636
+ "galvanise": "galvanize",
637
+ "galvanised": "galvanized",
638
+ "galvanises": "galvanizes",
639
+ "galvanising": "galvanizing",
640
+ "gambolled": "gamboled",
641
+ "gambolling": "gamboling",
642
+ "gaol": "jail",
643
+ "gaolbird": "jailbird",
644
+ "gaolbirds": "jailbirds",
645
+ "gaolbreak": "jailbreak",
646
+ "gaolbreaks": "jailbreaks",
647
+ "gaoled": "jailed",
648
+ "gaoler": "jailer",
649
+ "gaolers": "jailers",
650
+ "gaoling": "jailing",
651
+ "gaols": "jails",
652
+ "gasses": "gases",
653
+ "generalisation": "generalization",
654
+ "generalisations": "generalizations",
655
+ "generalise": "generalize",
656
+ "generalised": "generalized",
657
+ "generalises": "generalizes",
658
+ "generalising": "generalizing",
659
+ "ghettoise": "ghettoize",
660
+ "ghettoised": "ghettoized",
661
+ "ghettoises": "ghettoizes",
662
+ "ghettoising": "ghettoizing",
663
+ "gipsies": "gypsies",
664
+ "glamor": "glamour",
665
+ "glamorise": "glamorize",
666
+ "glamorised": "glamorized",
667
+ "glamorises": "glamorizes",
668
+ "glamorising": "glamorizing",
669
+ "globalisation": "globalization",
670
+ "globalise": "globalize",
671
+ "globalised": "globalized",
672
+ "globalises": "globalizes",
673
+ "globalising": "globalizing",
674
+ "glueing": "gluing",
675
+ "goitre": "goiter",
676
+ "goitres": "goiters",
677
+ "gonorrhoea": "gonorrhea",
678
+ "gramme": "gram",
679
+ "grammes": "grams",
680
+ "gravelled": "graveled",
681
+ "grey": "gray",
682
+ "greyed": "grayed",
683
+ "greying": "graying",
684
+ "greyish": "grayish",
685
+ "greyness": "grayness",
686
+ "greys": "grays",
687
+ "grovelled": "groveled",
688
+ "grovelling": "groveling",
689
+ "groyne": "groin",
690
+ "groynes": "groins",
691
+ "gruelling": "grueling",
692
+ "gruellingly": "gruelingly",
693
+ "gryphon": "griffin",
694
+ "gryphons": "griffins",
695
+ "gynaecological": "gynecological",
696
+ "gynaecologist": "gynecologist",
697
+ "gynaecologists": "gynecologists",
698
+ "gynaecology": "gynecology",
699
+ "haematological": "hematological",
700
+ "haematologist": "hematologist",
701
+ "haematologists": "hematologists",
702
+ "haematology": "hematology",
703
+ "haemoglobin": "hemoglobin",
704
+ "haemophilia": "hemophilia",
705
+ "haemophiliac": "hemophiliac",
706
+ "haemophiliacs": "hemophiliacs",
707
+ "haemorrhage": "hemorrhage",
708
+ "haemorrhaged": "hemorrhaged",
709
+ "haemorrhages": "hemorrhages",
710
+ "haemorrhaging": "hemorrhaging",
711
+ "haemorrhoids": "hemorrhoids",
712
+ "harbour": "harbor",
713
+ "harboured": "harbored",
714
+ "harbouring": "harboring",
715
+ "harbours": "harbors",
716
+ "harmonisation": "harmonization",
717
+ "harmonise": "harmonize",
718
+ "harmonised": "harmonized",
719
+ "harmonises": "harmonizes",
720
+ "harmonising": "harmonizing",
721
+ "homoeopath": "homeopath",
722
+ "homoeopathic": "homeopathic",
723
+ "homoeopaths": "homeopaths",
724
+ "homoeopathy": "homeopathy",
725
+ "homogenise": "homogenize",
726
+ "homogenised": "homogenized",
727
+ "homogenises": "homogenizes",
728
+ "homogenising": "homogenizing",
729
+ "honour": "honor",
730
+ "honourable": "honorable",
731
+ "honourably": "honorably",
732
+ "honoured": "honored",
733
+ "honouring": "honoring",
734
+ "honours": "honors",
735
+ "hospitalisation": "hospitalization",
736
+ "hospitalise": "hospitalize",
737
+ "hospitalised": "hospitalized",
738
+ "hospitalises": "hospitalizes",
739
+ "hospitalising": "hospitalizing",
740
+ "humanise": "humanize",
741
+ "humanised": "humanized",
742
+ "humanises": "humanizes",
743
+ "humanising": "humanizing",
744
+ "humour": "humor",
745
+ "humoured": "humored",
746
+ "humouring": "humoring",
747
+ "humourless": "humorless",
748
+ "humours": "humors",
749
+ "hybridise": "hybridize",
750
+ "hybridised": "hybridized",
751
+ "hybridises": "hybridizes",
752
+ "hybridising": "hybridizing",
753
+ "hypnotise": "hypnotize",
754
+ "hypnotised": "hypnotized",
755
+ "hypnotises": "hypnotizes",
756
+ "hypnotising": "hypnotizing",
757
+ "hypothesise": "hypothesize",
758
+ "hypothesised": "hypothesized",
759
+ "hypothesises": "hypothesizes",
760
+ "hypothesising": "hypothesizing",
761
+ "idealisation": "idealization",
762
+ "idealise": "idealize",
763
+ "idealised": "idealized",
764
+ "idealises": "idealizes",
765
+ "idealising": "idealizing",
766
+ "idolise": "idolize",
767
+ "idolised": "idolized",
768
+ "idolises": "idolizes",
769
+ "idolising": "idolizing",
770
+ "immobilisation": "immobilization",
771
+ "immobilise": "immobilize",
772
+ "immobilised": "immobilized",
773
+ "immobiliser": "immobilizer",
774
+ "immobilisers": "immobilizers",
775
+ "immobilises": "immobilizes",
776
+ "immobilising": "immobilizing",
777
+ "immortalise": "immortalize",
778
+ "immortalised": "immortalized",
779
+ "immortalises": "immortalizes",
780
+ "immortalising": "immortalizing",
781
+ "immunisation": "immunization",
782
+ "immunise": "immunize",
783
+ "immunised": "immunized",
784
+ "immunises": "immunizes",
785
+ "immunising": "immunizing",
786
+ "impanelled": "impaneled",
787
+ "impanelling": "impaneling",
788
+ "imperilled": "imperiled",
789
+ "imperilling": "imperiling",
790
+ "individualise": "individualize",
791
+ "individualised": "individualized",
792
+ "individualises": "individualizes",
793
+ "individualising": "individualizing",
794
+ "industrialise": "industrialize",
795
+ "industrialised": "industrialized",
796
+ "industrialises": "industrializes",
797
+ "industrialising": "industrializing",
798
+ "inflexion": "inflection",
799
+ "inflexions": "inflections",
800
+ "initialise": "initialize",
801
+ "initialised": "initialized",
802
+ "initialises": "initializes",
803
+ "initialising": "initializing",
804
+ "initialled": "initialed",
805
+ "initialling": "initialing",
806
+ "instal": "install",
807
+ "instalment": "installment",
808
+ "instalments": "installments",
809
+ "instals": "installs",
810
+ "instil": "instill",
811
+ "instils": "instills",
812
+ "institutionalisation": "institutionalization",
813
+ "institutionalise": "institutionalize",
814
+ "institutionalised": "institutionalized",
815
+ "institutionalises": "institutionalizes",
816
+ "institutionalising": "institutionalizing",
817
+ "intellectualise": "intellectualize",
818
+ "intellectualised": "intellectualized",
819
+ "intellectualises": "intellectualizes",
820
+ "intellectualising": "intellectualizing",
821
+ "internalisation": "internalization",
822
+ "internalise": "internalize",
823
+ "internalised": "internalized",
824
+ "internalises": "internalizes",
825
+ "internalising": "internalizing",
826
+ "internationalisation": "internationalization",
827
+ "internationalise": "internationalize",
828
+ "internationalised": "internationalized",
829
+ "internationalises": "internationalizes",
830
+ "internationalising": "internationalizing",
831
+ "ionisation": "ionization",
832
+ "ionise": "ionize",
833
+ "ionised": "ionized",
834
+ "ioniser": "ionizer",
835
+ "ionisers": "ionizers",
836
+ "ionises": "ionizes",
837
+ "ionising": "ionizing",
838
+ "italicise": "italicize",
839
+ "italicised": "italicized",
840
+ "italicises": "italicizes",
841
+ "italicising": "italicizing",
842
+ "itemise": "itemize",
843
+ "itemised": "itemized",
844
+ "itemises": "itemizes",
845
+ "itemising": "itemizing",
846
+ "jeopardise": "jeopardize",
847
+ "jeopardised": "jeopardized",
848
+ "jeopardises": "jeopardizes",
849
+ "jeopardising": "jeopardizing",
850
+ "jewelled": "jeweled",
851
+ "jeweller": "jeweler",
852
+ "jewellers": "jewelers",
853
+ "jewellery": "jewelry",
854
+ "judgement": "judgment",
855
+ "kilogramme": "kilogram",
856
+ "kilogrammes": "kilograms",
857
+ "kilometre": "kilometer",
858
+ "kilometres": "kilometers",
859
+ "labelled": "labeled",
860
+ "labelling": "labeling",
861
+ "labour": "labor",
862
+ "laboured": "labored",
863
+ "labourer": "laborer",
864
+ "labourers": "laborers",
865
+ "labouring": "laboring",
866
+ "labours": "labors",
867
+ "lacklustre": "lackluster",
868
+ "legalisation": "legalization",
869
+ "legalise": "legalize",
870
+ "legalised": "legalized",
871
+ "legalises": "legalizes",
872
+ "legalising": "legalizing",
873
+ "legitimise": "legitimize",
874
+ "legitimised": "legitimized",
875
+ "legitimises": "legitimizes",
876
+ "legitimising": "legitimizing",
877
+ "leukaemia": "leukemia",
878
+ "levelled": "leveled",
879
+ "leveller": "leveler",
880
+ "levellers": "levelers",
881
+ "levelling": "leveling",
882
+ "libelled": "libeled",
883
+ "libelling": "libeling",
884
+ "libellous": "libelous",
885
+ "liberalisation": "liberalization",
886
+ "liberalise": "liberalize",
887
+ "liberalised": "liberalized",
888
+ "liberalises": "liberalizes",
889
+ "liberalising": "liberalizing",
890
+ "licence": "license",
891
+ "licenced": "licensed",
892
+ "licences": "licenses",
893
+ "licencing": "licensing",
894
+ "likeable": "likable",
895
+ "lionisation": "lionization",
896
+ "lionise": "lionize",
897
+ "lionised": "lionized",
898
+ "lionises": "lionizes",
899
+ "lionising": "lionizing",
900
+ "liquidise": "liquidize",
901
+ "liquidised": "liquidized",
902
+ "liquidiser": "liquidizer",
903
+ "liquidisers": "liquidizers",
904
+ "liquidises": "liquidizes",
905
+ "liquidising": "liquidizing",
906
+ "litre": "liter",
907
+ "litres": "liters",
908
+ "localise": "localize",
909
+ "localised": "localized",
910
+ "localises": "localizes",
911
+ "localising": "localizing",
912
+ "louvre": "louver",
913
+ "louvred": "louvered",
914
+ "louvres": "louvers",
915
+ "lustre": "luster",
916
+ "magnetise": "magnetize",
917
+ "magnetised": "magnetized",
918
+ "magnetises": "magnetizes",
919
+ "magnetising": "magnetizing",
920
+ "manoeuvrability": "maneuverability",
921
+ "manoeuvrable": "maneuverable",
922
+ "manoeuvre": "maneuver",
923
+ "manoeuvred": "maneuvered",
924
+ "manoeuvres": "maneuvers",
925
+ "manoeuvring": "maneuvering",
926
+ "manoeuvrings": "maneuverings",
927
+ "marginalisation": "marginalization",
928
+ "marginalise": "marginalize",
929
+ "marginalised": "marginalized",
930
+ "marginalises": "marginalizes",
931
+ "marginalising": "marginalizing",
932
+ "marshalled": "marshaled",
933
+ "marshalling": "marshaling",
934
+ "marvelled": "marveled",
935
+ "marvelling": "marveling",
936
+ "marvellous": "marvelous",
937
+ "marvellously": "marvelously",
938
+ "materialisation": "materialization",
939
+ "materialise": "materialize",
940
+ "materialised": "materialized",
941
+ "materialises": "materializes",
942
+ "materialising": "materializing",
943
+ "maximisation": "maximization",
944
+ "maximise": "maximize",
945
+ "maximised": "maximized",
946
+ "maximises": "maximizes",
947
+ "maximising": "maximizing",
948
+ "meagre": "meager",
949
+ "mechanisation": "mechanization",
950
+ "mechanise": "mechanize",
951
+ "mechanised": "mechanized",
952
+ "mechanises": "mechanizes",
953
+ "mechanising": "mechanizing",
954
+ "mediaeval": "medieval",
955
+ "memorialise": "memorialize",
956
+ "memorialised": "memorialized",
957
+ "memorialises": "memorializes",
958
+ "memorialising": "memorializing",
959
+ "memorise": "memorize",
960
+ "memorised": "memorized",
961
+ "memorises": "memorizes",
962
+ "memorising": "memorizing",
963
+ "mesmerise": "mesmerize",
964
+ "mesmerised": "mesmerized",
965
+ "mesmerises": "mesmerizes",
966
+ "mesmerising": "mesmerizing",
967
+ "metabolise": "metabolize",
968
+ "metabolised": "metabolized",
969
+ "metabolises": "metabolizes",
970
+ "metabolising": "metabolizing",
971
+ "metre": "meter",
972
+ "metres": "meters",
973
+ "mhm": "hmm",
974
+ "micrometre": "micrometer",
975
+ "micrometres": "micrometers",
976
+ "militarise": "militarize",
977
+ "militarised": "militarized",
978
+ "militarises": "militarizes",
979
+ "militarising": "militarizing",
980
+ "milligramme": "milligram",
981
+ "milligrammes": "milligrams",
982
+ "millilitre": "milliliter",
983
+ "millilitres": "milliliters",
984
+ "millimetre": "millimeter",
985
+ "millimetres": "millimeters",
986
+ "miniaturisation": "miniaturization",
987
+ "miniaturise": "miniaturize",
988
+ "miniaturised": "miniaturized",
989
+ "miniaturises": "miniaturizes",
990
+ "miniaturising": "miniaturizing",
991
+ "minibusses": "minibuses",
992
+ "minimise": "minimize",
993
+ "minimised": "minimized",
994
+ "minimises": "minimizes",
995
+ "minimising": "minimizing",
996
+ "misbehaviour": "misbehavior",
997
+ "misdemeanour": "misdemeanor",
998
+ "misdemeanours": "misdemeanors",
999
+ "misspelt": "misspelled",
1000
+ "mitre": "miter",
1001
+ "mitres": "miters",
1002
+ "mm": "hmm",
1003
+ "mmm": "hmm",
1004
+ "mobilisation": "mobilization",
1005
+ "mobilise": "mobilize",
1006
+ "mobilised": "mobilized",
1007
+ "mobilises": "mobilizes",
1008
+ "mobilising": "mobilizing",
1009
+ "modelled": "modeled",
1010
+ "modeller": "modeler",
1011
+ "modellers": "modelers",
1012
+ "modelling": "modeling",
1013
+ "modernise": "modernize",
1014
+ "modernised": "modernized",
1015
+ "modernises": "modernizes",
1016
+ "modernising": "modernizing",
1017
+ "moisturise": "moisturize",
1018
+ "moisturised": "moisturized",
1019
+ "moisturiser": "moisturizer",
1020
+ "moisturisers": "moisturizers",
1021
+ "moisturises": "moisturizes",
1022
+ "moisturising": "moisturizing",
1023
+ "monologue": "monolog",
1024
+ "monologues": "monologs",
1025
+ "monopolisation": "monopolization",
1026
+ "monopolise": "monopolize",
1027
+ "monopolised": "monopolized",
1028
+ "monopolises": "monopolizes",
1029
+ "monopolising": "monopolizing",
1030
+ "moralise": "moralize",
1031
+ "moralised": "moralized",
1032
+ "moralises": "moralizes",
1033
+ "moralising": "moralizing",
1034
+ "motorised": "motorized",
1035
+ "mould": "mold",
1036
+ "moulded": "molded",
1037
+ "moulder": "molder",
1038
+ "mouldered": "moldered",
1039
+ "mouldering": "moldering",
1040
+ "moulders": "molders",
1041
+ "mouldier": "moldier",
1042
+ "mouldiest": "moldiest",
1043
+ "moulding": "molding",
1044
+ "mouldings": "moldings",
1045
+ "moulds": "molds",
1046
+ "mouldy": "moldy",
1047
+ "moult": "molt",
1048
+ "moulted": "molted",
1049
+ "moulting": "molting",
1050
+ "moults": "molts",
1051
+ "moustache": "mustache",
1052
+ "moustached": "mustached",
1053
+ "moustaches": "mustaches",
1054
+ "moustachioed": "mustachioed",
1055
+ "multicoloured": "multicolored",
1056
+ "nationalisation": "nationalization",
1057
+ "nationalisations": "nationalizations",
1058
+ "nationalise": "nationalize",
1059
+ "nationalised": "nationalized",
1060
+ "nationalises": "nationalizes",
1061
+ "nationalising": "nationalizing",
1062
+ "naturalisation": "naturalization",
1063
+ "naturalise": "naturalize",
1064
+ "naturalised": "naturalized",
1065
+ "naturalises": "naturalizes",
1066
+ "naturalising": "naturalizing",
1067
+ "neighbour": "neighbor",
1068
+ "neighbourhood": "neighborhood",
1069
+ "neighbourhoods": "neighborhoods",
1070
+ "neighbouring": "neighboring",
1071
+ "neighbourliness": "neighborliness",
1072
+ "neighbourly": "neighborly",
1073
+ "neighbours": "neighbors",
1074
+ "neutralisation": "neutralization",
1075
+ "neutralise": "neutralize",
1076
+ "neutralised": "neutralized",
1077
+ "neutralises": "neutralizes",
1078
+ "neutralising": "neutralizing",
1079
+ "normalisation": "normalization",
1080
+ "normalise": "normalize",
1081
+ "normalised": "normalized",
1082
+ "normalises": "normalizes",
1083
+ "normalising": "normalizing",
1084
+ "odour": "odor",
1085
+ "odourless": "odorless",
1086
+ "odours": "odors",
1087
+ "oesophagus": "esophagus",
1088
+ "oesophaguses": "esophaguses",
1089
+ "oestrogen": "estrogen",
1090
+ "offence": "offense",
1091
+ "offences": "offenses",
1092
+ "omelette": "omelet",
1093
+ "omelettes": "omelets",
1094
+ "optimise": "optimize",
1095
+ "optimised": "optimized",
1096
+ "optimises": "optimizes",
1097
+ "optimising": "optimizing",
1098
+ "organisation": "organization",
1099
+ "organisational": "organizational",
1100
+ "organisations": "organizations",
1101
+ "organise": "organize",
1102
+ "organised": "organized",
1103
+ "organiser": "organizer",
1104
+ "organisers": "organizers",
1105
+ "organises": "organizes",
1106
+ "organising": "organizing",
1107
+ "orthopaedic": "orthopedic",
1108
+ "orthopaedics": "orthopedics",
1109
+ "ostracise": "ostracize",
1110
+ "ostracised": "ostracized",
1111
+ "ostracises": "ostracizes",
1112
+ "ostracising": "ostracizing",
1113
+ "outmanoeuvre": "outmaneuver",
1114
+ "outmanoeuvred": "outmaneuvered",
1115
+ "outmanoeuvres": "outmaneuvers",
1116
+ "outmanoeuvring": "outmaneuvering",
1117
+ "overemphasise": "overemphasize",
1118
+ "overemphasised": "overemphasized",
1119
+ "overemphasises": "overemphasizes",
1120
+ "overemphasising": "overemphasizing",
1121
+ "oxidisation": "oxidization",
1122
+ "oxidise": "oxidize",
1123
+ "oxidised": "oxidized",
1124
+ "oxidises": "oxidizes",
1125
+ "oxidising": "oxidizing",
1126
+ "paederast": "pederast",
1127
+ "paederasts": "pederasts",
1128
+ "paediatric": "pediatric",
1129
+ "paediatrician": "pediatrician",
1130
+ "paediatricians": "pediatricians",
1131
+ "paediatrics": "pediatrics",
1132
+ "paedophile": "pedophile",
1133
+ "paedophiles": "pedophiles",
1134
+ "paedophilia": "pedophilia",
1135
+ "palaeolithic": "paleolithic",
1136
+ "palaeontologist": "paleontologist",
1137
+ "palaeontologists": "paleontologists",
1138
+ "palaeontology": "paleontology",
1139
+ "panelled": "paneled",
1140
+ "panelling": "paneling",
1141
+ "panellist": "panelist",
1142
+ "panellists": "panelists",
1143
+ "paralyse": "paralyze",
1144
+ "paralysed": "paralyzed",
1145
+ "paralyses": "paralyzes",
1146
+ "paralysing": "paralyzing",
1147
+ "parcelled": "parceled",
1148
+ "parcelling": "parceling",
1149
+ "parlour": "parlor",
1150
+ "parlours": "parlors",
1151
+ "particularise": "particularize",
1152
+ "particularised": "particularized",
1153
+ "particularises": "particularizes",
1154
+ "particularising": "particularizing",
1155
+ "passivisation": "passivization",
1156
+ "passivise": "passivize",
1157
+ "passivised": "passivized",
1158
+ "passivises": "passivizes",
1159
+ "passivising": "passivizing",
1160
+ "pasteurisation": "pasteurization",
1161
+ "pasteurise": "pasteurize",
1162
+ "pasteurised": "pasteurized",
1163
+ "pasteurises": "pasteurizes",
1164
+ "pasteurising": "pasteurizing",
1165
+ "patronise": "patronize",
1166
+ "patronised": "patronized",
1167
+ "patronises": "patronizes",
1168
+ "patronising": "patronizing",
1169
+ "patronisingly": "patronizingly",
1170
+ "pedalled": "pedaled",
1171
+ "pedalling": "pedaling",
1172
+ "pedestrianisation": "pedestrianization",
1173
+ "pedestrianise": "pedestrianize",
1174
+ "pedestrianised": "pedestrianized",
1175
+ "pedestrianises": "pedestrianizes",
1176
+ "pedestrianising": "pedestrianizing",
1177
+ "penalise": "penalize",
1178
+ "penalised": "penalized",
1179
+ "penalises": "penalizes",
1180
+ "penalising": "penalizing",
1181
+ "pencilled": "penciled",
1182
+ "pencilling": "penciling",
1183
+ "personalise": "personalize",
1184
+ "personalised": "personalized",
1185
+ "personalises": "personalizes",
1186
+ "personalising": "personalizing",
1187
+ "pharmacopoeia": "pharmacopeia",
1188
+ "pharmacopoeias": "pharmacopeias",
1189
+ "philosophise": "philosophize",
1190
+ "philosophised": "philosophized",
1191
+ "philosophises": "philosophizes",
1192
+ "philosophising": "philosophizing",
1193
+ "philtre": "filter",
1194
+ "philtres": "filters",
1195
+ "phoney": "phony",
1196
+ "plagiarise": "plagiarize",
1197
+ "plagiarised": "plagiarized",
1198
+ "plagiarises": "plagiarizes",
1199
+ "plagiarising": "plagiarizing",
1200
+ "plough": "plow",
1201
+ "ploughed": "plowed",
1202
+ "ploughing": "plowing",
1203
+ "ploughman": "plowman",
1204
+ "ploughmen": "plowmen",
1205
+ "ploughs": "plows",
1206
+ "ploughshare": "plowshare",
1207
+ "ploughshares": "plowshares",
1208
+ "polarisation": "polarization",
1209
+ "polarise": "polarize",
1210
+ "polarised": "polarized",
1211
+ "polarises": "polarizes",
1212
+ "polarising": "polarizing",
1213
+ "politicisation": "politicization",
1214
+ "politicise": "politicize",
1215
+ "politicised": "politicized",
1216
+ "politicises": "politicizes",
1217
+ "politicising": "politicizing",
1218
+ "popularisation": "popularization",
1219
+ "popularise": "popularize",
1220
+ "popularised": "popularized",
1221
+ "popularises": "popularizes",
1222
+ "popularising": "popularizing",
1223
+ "pouffe": "pouf",
1224
+ "pouffes": "poufs",
1225
+ "practise": "practice",
1226
+ "practised": "practiced",
1227
+ "practises": "practices",
1228
+ "practising": "practicing",
1229
+ "praesidium": "presidium",
1230
+ "praesidiums": "presidiums",
1231
+ "pressurisation": "pressurization",
1232
+ "pressurise": "pressurize",
1233
+ "pressurised": "pressurized",
1234
+ "pressurises": "pressurizes",
1235
+ "pressurising": "pressurizing",
1236
+ "pretence": "pretense",
1237
+ "pretences": "pretenses",
1238
+ "primaeval": "primeval",
1239
+ "prioritisation": "prioritization",
1240
+ "prioritise": "prioritize",
1241
+ "prioritised": "prioritized",
1242
+ "prioritises": "prioritizes",
1243
+ "prioritising": "prioritizing",
1244
+ "privatisation": "privatization",
1245
+ "privatisations": "privatizations",
1246
+ "privatise": "privatize",
1247
+ "privatised": "privatized",
1248
+ "privatises": "privatizes",
1249
+ "privatising": "privatizing",
1250
+ "professionalisation": "professionalization",
1251
+ "professionalise": "professionalize",
1252
+ "professionalised": "professionalized",
1253
+ "professionalises": "professionalizes",
1254
+ "professionalising": "professionalizing",
1255
+ "programme": "program",
1256
+ "programmes": "programs",
1257
+ "prologue": "prolog",
1258
+ "prologues": "prologs",
1259
+ "propagandise": "propagandize",
1260
+ "propagandised": "propagandized",
1261
+ "propagandises": "propagandizes",
1262
+ "propagandising": "propagandizing",
1263
+ "proselytise": "proselytize",
1264
+ "proselytised": "proselytized",
1265
+ "proselytiser": "proselytizer",
1266
+ "proselytisers": "proselytizers",
1267
+ "proselytises": "proselytizes",
1268
+ "proselytising": "proselytizing",
1269
+ "psychoanalyse": "psychoanalyze",
1270
+ "psychoanalysed": "psychoanalyzed",
1271
+ "psychoanalyses": "psychoanalyzes",
1272
+ "psychoanalysing": "psychoanalyzing",
1273
+ "publicise": "publicize",
1274
+ "publicised": "publicized",
1275
+ "publicises": "publicizes",
1276
+ "publicising": "publicizing",
1277
+ "pulverisation": "pulverization",
1278
+ "pulverise": "pulverize",
1279
+ "pulverised": "pulverized",
1280
+ "pulverises": "pulverizes",
1281
+ "pulverising": "pulverizing",
1282
+ "pummelled": "pummel",
1283
+ "pummelling": "pummeled",
1284
+ "pyjama": "pajama",
1285
+ "pyjamas": "pajamas",
1286
+ "pzazz": "pizzazz",
1287
+ "quarrelled": "quarreled",
1288
+ "quarrelling": "quarreling",
1289
+ "radicalise": "radicalize",
1290
+ "radicalised": "radicalized",
1291
+ "radicalises": "radicalizes",
1292
+ "radicalising": "radicalizing",
1293
+ "rancour": "rancor",
1294
+ "randomise": "randomize",
1295
+ "randomised": "randomized",
1296
+ "randomises": "randomizes",
1297
+ "randomising": "randomizing",
1298
+ "rationalisation": "rationalization",
1299
+ "rationalisations": "rationalizations",
1300
+ "rationalise": "rationalize",
1301
+ "rationalised": "rationalized",
1302
+ "rationalises": "rationalizes",
1303
+ "rationalising": "rationalizing",
1304
+ "ravelled": "raveled",
1305
+ "ravelling": "raveling",
1306
+ "realisable": "realizable",
1307
+ "realisation": "realization",
1308
+ "realisations": "realizations",
1309
+ "realise": "realize",
1310
+ "realised": "realized",
1311
+ "realises": "realizes",
1312
+ "realising": "realizing",
1313
+ "recognisable": "recognizable",
1314
+ "recognisably": "recognizably",
1315
+ "recognisance": "recognizance",
1316
+ "recognise": "recognize",
1317
+ "recognised": "recognized",
1318
+ "recognises": "recognizes",
1319
+ "recognising": "recognizing",
1320
+ "reconnoitre": "reconnoiter",
1321
+ "reconnoitred": "reconnoitered",
1322
+ "reconnoitres": "reconnoiters",
1323
+ "reconnoitring": "reconnoitering",
1324
+ "refuelled": "refueled",
1325
+ "refuelling": "refueling",
1326
+ "regularisation": "regularization",
1327
+ "regularise": "regularize",
1328
+ "regularised": "regularized",
1329
+ "regularises": "regularizes",
1330
+ "regularising": "regularizing",
1331
+ "remodelled": "remodeled",
1332
+ "remodelling": "remodeling",
1333
+ "remould": "remold",
1334
+ "remoulded": "remolded",
1335
+ "remoulding": "remolding",
1336
+ "remoulds": "remolds",
1337
+ "reorganisation": "reorganization",
1338
+ "reorganisations": "reorganizations",
1339
+ "reorganise": "reorganize",
1340
+ "reorganised": "reorganized",
1341
+ "reorganises": "reorganizes",
1342
+ "reorganising": "reorganizing",
1343
+ "revelled": "reveled",
1344
+ "reveller": "reveler",
1345
+ "revellers": "revelers",
1346
+ "revelling": "reveling",
1347
+ "revitalise": "revitalize",
1348
+ "revitalised": "revitalized",
1349
+ "revitalises": "revitalizes",
1350
+ "revitalising": "revitalizing",
1351
+ "revolutionise": "revolutionize",
1352
+ "revolutionised": "revolutionized",
1353
+ "revolutionises": "revolutionizes",
1354
+ "revolutionising": "revolutionizing",
1355
+ "rhapsodise": "rhapsodize",
1356
+ "rhapsodised": "rhapsodized",
1357
+ "rhapsodises": "rhapsodizes",
1358
+ "rhapsodising": "rhapsodizing",
1359
+ "rigour": "rigor",
1360
+ "rigours": "rigors",
1361
+ "ritualised": "ritualized",
1362
+ "rivalled": "rivaled",
1363
+ "rivalling": "rivaling",
1364
+ "romanticise": "romanticize",
1365
+ "romanticised": "romanticized",
1366
+ "romanticises": "romanticizes",
1367
+ "romanticising": "romanticizing",
1368
+ "rumour": "rumor",
1369
+ "rumoured": "rumored",
1370
+ "rumours": "rumors",
1371
+ "sabre": "saber",
1372
+ "sabres": "sabers",
1373
+ "saltpetre": "saltpeter",
1374
+ "sanitise": "sanitize",
1375
+ "sanitised": "sanitized",
1376
+ "sanitises": "sanitizes",
1377
+ "sanitising": "sanitizing",
1378
+ "satirise": "satirize",
1379
+ "satirised": "satirized",
1380
+ "satirises": "satirizes",
1381
+ "satirising": "satirizing",
1382
+ "saviour": "savior",
1383
+ "saviours": "saviors",
1384
+ "savour": "savor",
1385
+ "savoured": "savored",
1386
+ "savouries": "savories",
1387
+ "savouring": "savoring",
1388
+ "savours": "savors",
1389
+ "savoury": "savory",
1390
+ "scandalise": "scandalize",
1391
+ "scandalised": "scandalized",
1392
+ "scandalises": "scandalizes",
1393
+ "scandalising": "scandalizing",
1394
+ "sceptic": "skeptic",
1395
+ "sceptical": "skeptical",
1396
+ "sceptically": "skeptically",
1397
+ "scepticism": "skepticism",
1398
+ "sceptics": "skeptics",
1399
+ "sceptre": "scepter",
1400
+ "sceptres": "scepters",
1401
+ "scrutinise": "scrutinize",
1402
+ "scrutinised": "scrutinized",
1403
+ "scrutinises": "scrutinizes",
1404
+ "scrutinising": "scrutinizing",
1405
+ "secularisation": "secularization",
1406
+ "secularise": "secularize",
1407
+ "secularised": "secularized",
1408
+ "secularises": "secularizes",
1409
+ "secularising": "secularizing",
1410
+ "sensationalise": "sensationalize",
1411
+ "sensationalised": "sensationalized",
1412
+ "sensationalises": "sensationalizes",
1413
+ "sensationalising": "sensationalizing",
1414
+ "sensitise": "sensitize",
1415
+ "sensitised": "sensitized",
1416
+ "sensitises": "sensitizes",
1417
+ "sensitising": "sensitizing",
1418
+ "sentimentalise": "sentimentalize",
1419
+ "sentimentalised": "sentimentalized",
1420
+ "sentimentalises": "sentimentalizes",
1421
+ "sentimentalising": "sentimentalizing",
1422
+ "sepulchre": "sepulcher",
1423
+ "sepulchres": "sepulchers",
1424
+ "serialisation": "serialization",
1425
+ "serialisations": "serializations",
1426
+ "serialise": "serialize",
1427
+ "serialised": "serialized",
1428
+ "serialises": "serializes",
1429
+ "serialising": "serializing",
1430
+ "sermonise": "sermonize",
1431
+ "sermonised": "sermonized",
1432
+ "sermonises": "sermonizes",
1433
+ "sermonising": "sermonizing",
1434
+ "sheikh": "sheik",
1435
+ "shovelled": "shoveled",
1436
+ "shovelling": "shoveling",
1437
+ "shrivelled": "shriveled",
1438
+ "shrivelling": "shriveling",
1439
+ "signalise": "signalize",
1440
+ "signalised": "signalized",
1441
+ "signalises": "signalizes",
1442
+ "signalising": "signalizing",
1443
+ "signalled": "signaled",
1444
+ "signalling": "signaling",
1445
+ "smoulder": "smolder",
1446
+ "smouldered": "smoldered",
1447
+ "smouldering": "smoldering",
1448
+ "smoulders": "smolders",
1449
+ "snivelled": "sniveled",
1450
+ "snivelling": "sniveling",
1451
+ "snorkelled": "snorkeled",
1452
+ "snorkelling": "snorkeling",
1453
+ "snowplough": "snowplow",
1454
+ "snowploughs": "snowplow",
1455
+ "socialisation": "socialization",
1456
+ "socialise": "socialize",
1457
+ "socialised": "socialized",
1458
+ "socialises": "socializes",
1459
+ "socialising": "socializing",
1460
+ "sodomise": "sodomize",
1461
+ "sodomised": "sodomized",
1462
+ "sodomises": "sodomizes",
1463
+ "sodomising": "sodomizing",
1464
+ "solemnise": "solemnize",
1465
+ "solemnised": "solemnized",
1466
+ "solemnises": "solemnizes",
1467
+ "solemnising": "solemnizing",
1468
+ "sombre": "somber",
1469
+ "specialisation": "specialization",
1470
+ "specialisations": "specializations",
1471
+ "specialise": "specialize",
1472
+ "specialised": "specialized",
1473
+ "specialises": "specializes",
1474
+ "specialising": "specializing",
1475
+ "spectre": "specter",
1476
+ "spectres": "specters",
1477
+ "spiralled": "spiraled",
1478
+ "spiralling": "spiraling",
1479
+ "splendour": "splendor",
1480
+ "splendours": "splendors",
1481
+ "squirrelled": "squirreled",
1482
+ "squirrelling": "squirreling",
1483
+ "stabilisation": "stabilization",
1484
+ "stabilise": "stabilize",
1485
+ "stabilised": "stabilized",
1486
+ "stabiliser": "stabilizer",
1487
+ "stabilisers": "stabilizers",
1488
+ "stabilises": "stabilizes",
1489
+ "stabilising": "stabilizing",
1490
+ "standardisation": "standardization",
1491
+ "standardise": "standardize",
1492
+ "standardised": "standardized",
1493
+ "standardises": "standardizes",
1494
+ "standardising": "standardizing",
1495
+ "stencilled": "stenciled",
1496
+ "stencilling": "stenciling",
1497
+ "sterilisation": "sterilization",
1498
+ "sterilisations": "sterilizations",
1499
+ "sterilise": "sterilize",
1500
+ "sterilised": "sterilized",
1501
+ "steriliser": "sterilizer",
1502
+ "sterilisers": "sterilizers",
1503
+ "sterilises": "sterilizes",
1504
+ "sterilising": "sterilizing",
1505
+ "stigmatisation": "stigmatization",
1506
+ "stigmatise": "stigmatize",
1507
+ "stigmatised": "stigmatized",
1508
+ "stigmatises": "stigmatizes",
1509
+ "stigmatising": "stigmatizing",
1510
+ "storey": "story",
1511
+ "storeys": "stories",
1512
+ "subsidisation": "subsidization",
1513
+ "subsidise": "subsidize",
1514
+ "subsidised": "subsidized",
1515
+ "subsidiser": "subsidizer",
1516
+ "subsidisers": "subsidizers",
1517
+ "subsidises": "subsidizes",
1518
+ "subsidising": "subsidizing",
1519
+ "succour": "succor",
1520
+ "succoured": "succored",
1521
+ "succouring": "succoring",
1522
+ "succours": "succors",
1523
+ "sulphate": "sulfate",
1524
+ "sulphates": "sulfates",
1525
+ "sulphide": "sulfide",
1526
+ "sulphides": "sulfides",
1527
+ "sulphur": "sulfur",
1528
+ "sulphurous": "sulfurous",
1529
+ "summarise": "summarize",
1530
+ "summarised": "summarized",
1531
+ "summarises": "summarizes",
1532
+ "summarising": "summarizing",
1533
+ "swivelled": "swiveled",
1534
+ "swivelling": "swiveling",
1535
+ "symbolise": "symbolize",
1536
+ "symbolised": "symbolized",
1537
+ "symbolises": "symbolizes",
1538
+ "symbolising": "symbolizing",
1539
+ "sympathise": "sympathize",
1540
+ "sympathised": "sympathized",
1541
+ "sympathiser": "sympathizer",
1542
+ "sympathisers": "sympathizers",
1543
+ "sympathises": "sympathizes",
1544
+ "sympathising": "sympathizing",
1545
+ "synchronisation": "synchronization",
1546
+ "synchronise": "synchronize",
1547
+ "synchronised": "synchronized",
1548
+ "synchronises": "synchronizes",
1549
+ "synchronising": "synchronizing",
1550
+ "synthesise": "synthesize",
1551
+ "synthesised": "synthesized",
1552
+ "synthesiser": "synthesizer",
1553
+ "synthesisers": "synthesizers",
1554
+ "synthesises": "synthesizes",
1555
+ "synthesising": "synthesizing",
1556
+ "syphon": "siphon",
1557
+ "syphoned": "siphoned",
1558
+ "syphoning": "siphoning",
1559
+ "syphons": "siphons",
1560
+ "systematisation": "systematization",
1561
+ "systematise": "systematize",
1562
+ "systematised": "systematized",
1563
+ "systematises": "systematizes",
1564
+ "systematising": "systematizing",
1565
+ "tantalise": "tantalize",
1566
+ "tantalised": "tantalized",
1567
+ "tantalises": "tantalizes",
1568
+ "tantalising": "tantalizing",
1569
+ "tantalisingly": "tantalizingly",
1570
+ "tasselled": "tasseled",
1571
+ "technicolour": "technicolor",
1572
+ "temporise": "temporize",
1573
+ "temporised": "temporized",
1574
+ "temporises": "temporizes",
1575
+ "temporising": "temporizing",
1576
+ "tenderise": "tenderize",
1577
+ "tenderised": "tenderized",
1578
+ "tenderises": "tenderizes",
1579
+ "tenderising": "tenderizing",
1580
+ "terrorise": "terrorize",
1581
+ "terrorised": "terrorized",
1582
+ "terrorises": "terrorizes",
1583
+ "terrorising": "terrorizing",
1584
+ "theatre": "theater",
1585
+ "theatregoer": "theatergoer",
1586
+ "theatregoers": "theatergoers",
1587
+ "theatres": "theaters",
1588
+ "theorise": "theorize",
1589
+ "theorised": "theorized",
1590
+ "theorises": "theorizes",
1591
+ "theorising": "theorizing",
1592
+ "tonne": "ton",
1593
+ "tonnes": "tons",
1594
+ "towelled": "toweled",
1595
+ "towelling": "toweling",
1596
+ "toxaemia": "toxemia",
1597
+ "tranquillise": "tranquilize",
1598
+ "tranquillised": "tranquilized",
1599
+ "tranquilliser": "tranquilizer",
1600
+ "tranquillisers": "tranquilizers",
1601
+ "tranquillises": "tranquilizes",
1602
+ "tranquillising": "tranquilizing",
1603
+ "tranquillity": "tranquility",
1604
+ "tranquillize": "tranquilize",
1605
+ "tranquillized": "tranquilized",
1606
+ "tranquillizer": "tranquilizer",
1607
+ "tranquillizers": "tranquilizers",
1608
+ "tranquillizes": "tranquilizes",
1609
+ "tranquillizing": "tranquilizing",
1610
+ "tranquilly": "tranquility",
1611
+ "transistorised": "transistorized",
1612
+ "traumatise": "traumatize",
1613
+ "traumatised": "traumatized",
1614
+ "traumatises": "traumatizes",
1615
+ "traumatising": "traumatizing",
1616
+ "travelled": "traveled",
1617
+ "traveller": "traveler",
1618
+ "travellers": "travelers",
1619
+ "travelling": "traveling",
1620
+ "travelog": "travelogue",
1621
+ "travelogs": "travelogues",
1622
+ "trialled": "trialed",
1623
+ "trialling": "trialing",
1624
+ "tricolour": "tricolor",
1625
+ "tricolours": "tricolors",
1626
+ "trivialise": "trivialize",
1627
+ "trivialised": "trivialized",
1628
+ "trivialises": "trivializes",
1629
+ "trivialising": "trivializing",
1630
+ "tumour": "tumor",
1631
+ "tumours": "tumors",
1632
+ "tunnelled": "tunneled",
1633
+ "tunnelling": "tunneling",
1634
+ "tyrannise": "tyrannize",
1635
+ "tyrannised": "tyrannized",
1636
+ "tyrannises": "tyrannizes",
1637
+ "tyrannising": "tyrannizing",
1638
+ "tyre": "tire",
1639
+ "tyres": "tires",
1640
+ "unauthorised": "unauthorized",
1641
+ "uncivilised": "uncivilized",
1642
+ "underutilised": "underutilized",
1643
+ "unequalled": "unequaled",
1644
+ "unfavourable": "unfavorable",
1645
+ "unfavourably": "unfavorably",
1646
+ "unionisation": "unionization",
1647
+ "unionise": "unionize",
1648
+ "unionised": "unionized",
1649
+ "unionises": "unionizes",
1650
+ "unionising": "unionizing",
1651
+ "unorganised": "unorganized",
1652
+ "unravelled": "unraveled",
1653
+ "unravelling": "unraveling",
1654
+ "unrecognisable": "unrecognizable",
1655
+ "unrecognised": "unrecognized",
1656
+ "unrivalled": "unrivaled",
1657
+ "unsavoury": "unsavory",
1658
+ "untrammelled": "untrammeled",
1659
+ "urbanisation": "urbanization",
1660
+ "urbanise": "urbanize",
1661
+ "urbanised": "urbanized",
1662
+ "urbanises": "urbanizes",
1663
+ "urbanising": "urbanizing",
1664
+ "utilisable": "utilizable",
1665
+ "utilisation": "utilization",
1666
+ "utilise": "utilize",
1667
+ "utilised": "utilized",
1668
+ "utilises": "utilizes",
1669
+ "utilising": "utilizing",
1670
+ "valour": "valor",
1671
+ "vandalise": "vandalize",
1672
+ "vandalised": "vandalized",
1673
+ "vandalises": "vandalizes",
1674
+ "vandalising": "vandalizing",
1675
+ "vaporisation": "vaporization",
1676
+ "vaporise": "vaporize",
1677
+ "vaporised": "vaporized",
1678
+ "vaporises": "vaporizes",
1679
+ "vaporising": "vaporizing",
1680
+ "vapour": "vapor",
1681
+ "vapours": "vapors",
1682
+ "verbalise": "verbalize",
1683
+ "verbalised": "verbalized",
1684
+ "verbalises": "verbalizes",
1685
+ "verbalising": "verbalizing",
1686
+ "victimisation": "victimization",
1687
+ "victimise": "victimize",
1688
+ "victimised": "victimized",
1689
+ "victimises": "victimizes",
1690
+ "victimising": "victimizing",
1691
+ "videodisc": "videodisk",
1692
+ "videodiscs": "videodisks",
1693
+ "vigour": "vigor",
1694
+ "visualisation": "visualization",
1695
+ "visualisations": "visualizations",
1696
+ "visualise": "visualize",
1697
+ "visualised": "visualized",
1698
+ "visualises": "visualizes",
1699
+ "visualising": "visualizing",
1700
+ "vocalisation": "vocalization",
1701
+ "vocalisations": "vocalizations",
1702
+ "vocalise": "vocalize",
1703
+ "vocalised": "vocalized",
1704
+ "vocalises": "vocalizes",
1705
+ "vocalising": "vocalizing",
1706
+ "vulcanised": "vulcanized",
1707
+ "vulgarisation": "vulgarization",
1708
+ "vulgarise": "vulgarize",
1709
+ "vulgarised": "vulgarized",
1710
+ "vulgarises": "vulgarizes",
1711
+ "vulgarising": "vulgarizing",
1712
+ "waggon": "wagon",
1713
+ "waggons": "wagons",
1714
+ "watercolour": "watercolor",
1715
+ "watercolours": "watercolors",
1716
+ "weaselled": "weaseled",
1717
+ "weaselling": "weaseling",
1718
+ "westernisation": "westernization",
1719
+ "westernise": "westernize",
1720
+ "westernised": "westernized",
1721
+ "westernises": "westernizes",
1722
+ "westernising": "westernizing",
1723
+ "womanise": "womanize",
1724
+ "womanised": "womanized",
1725
+ "womaniser": "womanizer",
1726
+ "womanisers": "womanizers",
1727
+ "womanises": "womanizes",
1728
+ "womanising": "womanizing",
1729
+ "woollen": "woolen",
1730
+ "woollens": "woolens",
1731
+ "woollies": "woolies",
1732
+ "woolly": "wooly",
1733
+ "worshipped": "worshiped",
1734
+ "worshipper": "worshiper",
1735
+ "worshipping": "worshiping",
1736
+ "yodelled": "yodeled",
1737
+ "yodelling": "yodeling",
1738
+ "yoghourt": "yogurt",
1739
+ "yoghourts": "yogurts",
1740
+ "yoghurt": "yogurt",
1741
+ "yoghurts": "yogurts"
1742
+ }
Sound/preprocessor_config.json ADDED
The diff for this file is too large to render. See raw diff
 
Sound/special_tokens_map.json ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|startoftranscript|>",
4
+ "<|en|>",
5
+ "<|zh|>",
6
+ "<|de|>",
7
+ "<|es|>",
8
+ "<|ru|>",
9
+ "<|ko|>",
10
+ "<|fr|>",
11
+ "<|ja|>",
12
+ "<|pt|>",
13
+ "<|tr|>",
14
+ "<|pl|>",
15
+ "<|ca|>",
16
+ "<|nl|>",
17
+ "<|ar|>",
18
+ "<|sv|>",
19
+ "<|it|>",
20
+ "<|id|>",
21
+ "<|hi|>",
22
+ "<|fi|>",
23
+ "<|vi|>",
24
+ "<|iw|>",
25
+ "<|uk|>",
26
+ "<|el|>",
27
+ "<|ms|>",
28
+ "<|cs|>",
29
+ "<|ro|>",
30
+ "<|da|>",
31
+ "<|hu|>",
32
+ "<|ta|>",
33
+ "<|no|>",
34
+ "<|th|>",
35
+ "<|ur|>",
36
+ "<|hr|>",
37
+ "<|bg|>",
38
+ "<|lt|>",
39
+ "<|la|>",
40
+ "<|mi|>",
41
+ "<|ml|>",
42
+ "<|cy|>",
43
+ "<|sk|>",
44
+ "<|te|>",
45
+ "<|fa|>",
46
+ "<|lv|>",
47
+ "<|bn|>",
48
+ "<|sr|>",
49
+ "<|az|>",
50
+ "<|sl|>",
51
+ "<|kn|>",
52
+ "<|et|>",
53
+ "<|mk|>",
54
+ "<|br|>",
55
+ "<|eu|>",
56
+ "<|is|>",
57
+ "<|hy|>",
58
+ "<|ne|>",
59
+ "<|mn|>",
60
+ "<|bs|>",
61
+ "<|kk|>",
62
+ "<|sq|>",
63
+ "<|sw|>",
64
+ "<|gl|>",
65
+ "<|mr|>",
66
+ "<|pa|>",
67
+ "<|si|>",
68
+ "<|km|>",
69
+ "<|sn|>",
70
+ "<|yo|>",
71
+ "<|so|>",
72
+ "<|af|>",
73
+ "<|oc|>",
74
+ "<|ka|>",
75
+ "<|be|>",
76
+ "<|tg|>",
77
+ "<|sd|>",
78
+ "<|gu|>",
79
+ "<|am|>",
80
+ "<|yi|>",
81
+ "<|lo|>",
82
+ "<|uz|>",
83
+ "<|fo|>",
84
+ "<|ht|>",
85
+ "<|ps|>",
86
+ "<|tk|>",
87
+ "<|nn|>",
88
+ "<|mt|>",
89
+ "<|sa|>",
90
+ "<|lb|>",
91
+ "<|my|>",
92
+ "<|bo|>",
93
+ "<|tl|>",
94
+ "<|mg|>",
95
+ "<|as|>",
96
+ "<|tt|>",
97
+ "<|haw|>",
98
+ "<|ln|>",
99
+ "<|ha|>",
100
+ "<|ba|>",
101
+ "<|jw|>",
102
+ "<|su|>",
103
+ "<|translate|>",
104
+ "<|transcribe|>",
105
+ "<|startoflm|>",
106
+ "<|startofprev|>",
107
+ "<|nocaptions|>",
108
+ "<|notimestamps|>"
109
+ ],
110
+ "bos_token": {
111
+ "content": "<|endoftext|>",
112
+ "lstrip": false,
113
+ "normalized": true,
114
+ "rstrip": false,
115
+ "single_word": false
116
+ },
117
+ "eos_token": "<|endoftext|>",
118
+ "pad_token": "<|endoftext|>",
119
+ "unk_token": "<|endoftext|>"
120
+ }
Sound/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
Sound/tokenizer_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": true,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "<|endoftext|>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "errors": "replace",
22
+ "model_max_length": 1024,
23
+ "pad_token": null,
24
+ "processor_class": "WhisperProcessor",
25
+ "return_attention_mask": false,
26
+ "tokenizer_class": "WhisperTokenizer",
27
+ "unk_token": {
28
+ "__type": "AddedToken",
29
+ "content": "<|endoftext|>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
Sound/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
Video/.gitattributes ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *.7z filter=lfs diff=lfs merge=lfs -text
2
+ *.arrow filter=lfs diff=lfs merge=lfs -text
3
+ *.bin filter=lfs diff=lfs merge=lfs -text
4
+ *.bz2 filter=lfs diff=lfs merge=lfs -text
5
+ *.ftz filter=lfs diff=lfs merge=lfs -text
6
+ *.gz filter=lfs diff=lfs merge=lfs -text
7
+ *.h5 filter=lfs diff=lfs merge=lfs -text
8
+ *.joblib filter=lfs diff=lfs merge=lfs -text
9
+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
10
+ *.model filter=lfs diff=lfs merge=lfs -text
11
+ *.msgpack filter=lfs diff=lfs merge=lfs -text
12
+ *.npy filter=lfs diff=lfs merge=lfs -text
13
+ *.npz filter=lfs diff=lfs merge=lfs -text
14
+ *.onnx filter=lfs diff=lfs merge=lfs -text
15
+ *.ot filter=lfs diff=lfs merge=lfs -text
16
+ *.parquet filter=lfs diff=lfs merge=lfs -text
17
+ *.pb filter=lfs diff=lfs merge=lfs -text
18
+ *.pickle filter=lfs diff=lfs merge=lfs -text
19
+ *.pkl filter=lfs diff=lfs merge=lfs -text
20
+ *.pt filter=lfs diff=lfs merge=lfs -text
21
+ *.pth filter=lfs diff=lfs merge=lfs -text
22
+ *.rar filter=lfs diff=lfs merge=lfs -text
23
+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
24
+ *.tar.* filter=lfs diff=lfs merge=lfs -text
25
+ *.tflite filter=lfs diff=lfs merge=lfs -text
26
+ *.tgz filter=lfs diff=lfs merge=lfs -text
27
+ *.wasm filter=lfs diff=lfs merge=lfs -text
28
+ *.xz filter=lfs diff=lfs merge=lfs -text
29
+ *.zip filter=lfs diff=lfs merge=lfs -text
30
+ *.zst filter=lfs diff=lfs merge=lfs -text
31
+ *tfevents* filter=lfs diff=lfs merge=lfs -text
32
+ model.safetensors filter=lfs diff=lfs merge=lfs -text
Video/README.md ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language: en
3
+ license: mit
4
+ tags:
5
+ - vision
6
+ - video-classification
7
+ model-index:
8
+ - name: nielsr/xclip-base-patch32
9
+ results:
10
+ - task:
11
+ type: video-classification
12
+ dataset:
13
+ name: Kinetics 400
14
+ type: kinetics-400
15
+ metrics:
16
+ - type: top-1 accuracy
17
+ value: 80.4
18
+ - type: top-5 accuracy
19
+ value: 95.0
20
+ ---
21
+
22
+ # X-CLIP (base-sized model)
23
+
24
+ X-CLIP model (base-sized, patch resolution of 32) trained fully-supervised on [Kinetics-400](https://www.deepmind.com/open-source/kinetics). It was introduced in the paper [Expanding Language-Image Pretrained Models for General Video Recognition](https://arxiv.org/abs/2208.02816) by Ni et al. and first released in [this repository](https://github.com/microsoft/VideoX/tree/master/X-CLIP).
25
+
26
+ This model was trained using 8 frames per video, at a resolution of 224x224.
27
+
28
+ Disclaimer: The team releasing X-CLIP did not write a model card for this model so this model card has been written by the Hugging Face team.
29
+
30
+ ## Model description
31
+
32
+ X-CLIP is a minimal extension of [CLIP](https://huggingface.co/docs/transformers/model_doc/clip) for general video-language understanding. The model is trained in a contrastive way on (video, text) pairs.
33
+
34
+ ![X-CLIP architecture](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/xclip_architecture.png)
35
+
36
+ This allows the model to be used for tasks like zero-shot, few-shot or fully supervised video classification and video-text retrieval.
37
+
38
+ ## Intended uses & limitations
39
+
40
+ You can use the raw model for determining how well text goes with a given video. See the [model hub](https://huggingface.co/models?search=microsoft/xclip) to look for
41
+ fine-tuned versions on a task that interests you.
42
+
43
+ ### How to use
44
+
45
+ For code examples, we refer to the [documentation](https://huggingface.co/transformers/main/model_doc/xclip.html#).
46
+
47
+ ## Training data
48
+
49
+ This model was trained on [Kinetics-400](https://www.deepmind.com/open-source/kinetics).
50
+
51
+ ### Preprocessing
52
+
53
+ The exact details of preprocessing during training can be found [here](https://github.com/microsoft/VideoX/blob/40f6d177e0a057a50ac69ac1de6b5938fd268601/X-CLIP/datasets/build.py#L247).
54
+
55
+ The exact details of preprocessing during validation can be found [here](https://github.com/microsoft/VideoX/blob/40f6d177e0a057a50ac69ac1de6b5938fd268601/X-CLIP/datasets/build.py#L285).
56
+
57
+ During validation, one resizes the shorter edge of each frame, after which center cropping is performed to a fixed-size resolution (like 224x224). Next, frames are normalized across the RGB channels with the ImageNet mean and standard deviation.
58
+
59
+ ## Evaluation results
60
+
61
+ This model achieves a top-1 accuracy of 80.4% and a top-5 accuracy of 95.0%.
Video/config.json ADDED
@@ -0,0 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_commit_hash": null,
3
+ "architectures": [
4
+ "XClipModel"
5
+ ],
6
+ "initializer_factor": 1.0,
7
+ "logit_scale_init_value": 2.6592,
8
+ "model_type": "xclip",
9
+ "projection_dim": 512,
10
+ "prompt_alpha": 0.1,
11
+ "prompt_attention_dropout": 0.0,
12
+ "prompt_hidden_act": "quick_gelu",
13
+ "prompt_layers": 2,
14
+ "prompt_num_attention_heads": 8,
15
+ "prompt_projection_dropout": 0.0,
16
+ "text_config": {
17
+ "_name_or_path": "",
18
+ "add_cross_attention": false,
19
+ "architectures": null,
20
+ "attention_dropout": 0.0,
21
+ "bad_words_ids": null,
22
+ "bos_token_id": 0,
23
+ "chunk_size_feed_forward": 0,
24
+ "cross_attention_hidden_size": null,
25
+ "decoder_start_token_id": null,
26
+ "diversity_penalty": 0.0,
27
+ "do_sample": false,
28
+ "dropout": 0.0,
29
+ "early_stopping": false,
30
+ "encoder_no_repeat_ngram_size": 0,
31
+ "eos_token_id": 2,
32
+ "exponential_decay_length_penalty": null,
33
+ "finetuning_task": null,
34
+ "forced_bos_token_id": null,
35
+ "forced_eos_token_id": null,
36
+ "hidden_act": "quick_gelu",
37
+ "hidden_size": 512,
38
+ "id2label": {
39
+ "0": "LABEL_0",
40
+ "1": "LABEL_1"
41
+ },
42
+ "initializer_factor": 1.0,
43
+ "initializer_range": 0.02,
44
+ "intermediate_size": 2048,
45
+ "is_decoder": false,
46
+ "is_encoder_decoder": false,
47
+ "label2id": {
48
+ "LABEL_0": 0,
49
+ "LABEL_1": 1
50
+ },
51
+ "layer_norm_eps": 1e-05,
52
+ "length_penalty": 1.0,
53
+ "max_length": 20,
54
+ "max_position_embeddings": 77,
55
+ "min_length": 0,
56
+ "model_type": "xclip_text_model",
57
+ "no_repeat_ngram_size": 0,
58
+ "num_attention_heads": 8,
59
+ "num_beam_groups": 1,
60
+ "num_beams": 1,
61
+ "num_hidden_layers": 12,
62
+ "num_return_sequences": 1,
63
+ "output_attentions": false,
64
+ "output_hidden_states": false,
65
+ "output_scores": false,
66
+ "pad_token_id": 1,
67
+ "prefix": null,
68
+ "problem_type": null,
69
+ "pruned_heads": {},
70
+ "remove_invalid_values": false,
71
+ "repetition_penalty": 1.0,
72
+ "return_dict": true,
73
+ "return_dict_in_generate": false,
74
+ "sep_token_id": null,
75
+ "task_specific_params": null,
76
+ "temperature": 1.0,
77
+ "tf_legacy_loss": false,
78
+ "tie_encoder_decoder": false,
79
+ "tie_word_embeddings": true,
80
+ "tokenizer_class": null,
81
+ "top_k": 50,
82
+ "top_p": 1.0,
83
+ "torch_dtype": null,
84
+ "torchscript": false,
85
+ "transformers_version": "4.22.0.dev0",
86
+ "typical_p": 1.0,
87
+ "use_bfloat16": false,
88
+ "vocab_size": 49408
89
+ },
90
+ "text_config_dict": null,
91
+ "torch_dtype": "float32",
92
+ "transformers_version": null,
93
+ "vision_config": {
94
+ "_name_or_path": "",
95
+ "add_cross_attention": false,
96
+ "architectures": null,
97
+ "attention_dropout": 0.0,
98
+ "bad_words_ids": null,
99
+ "bos_token_id": null,
100
+ "chunk_size_feed_forward": 0,
101
+ "cross_attention_hidden_size": null,
102
+ "decoder_start_token_id": null,
103
+ "diversity_penalty": 0.0,
104
+ "do_sample": false,
105
+ "drop_path_rate": 0.0,
106
+ "dropout": 0.0,
107
+ "early_stopping": false,
108
+ "encoder_no_repeat_ngram_size": 0,
109
+ "eos_token_id": null,
110
+ "exponential_decay_length_penalty": null,
111
+ "finetuning_task": null,
112
+ "forced_bos_token_id": null,
113
+ "forced_eos_token_id": null,
114
+ "hidden_act": "quick_gelu",
115
+ "hidden_size": 768,
116
+ "id2label": {
117
+ "0": "LABEL_0",
118
+ "1": "LABEL_1"
119
+ },
120
+ "image_size": 224,
121
+ "initializer_factor": 1.0,
122
+ "initializer_range": 0.02,
123
+ "intermediate_size": 3072,
124
+ "is_decoder": false,
125
+ "is_encoder_decoder": false,
126
+ "label2id": {
127
+ "LABEL_0": 0,
128
+ "LABEL_1": 1
129
+ },
130
+ "layer_norm_eps": 1e-05,
131
+ "length_penalty": 1.0,
132
+ "max_length": 20,
133
+ "min_length": 0,
134
+ "mit_hidden_size": 512,
135
+ "mit_intermediate_size": 2048,
136
+ "mit_num_attention_heads": 8,
137
+ "mit_num_hidden_layers": 1,
138
+ "model_type": "xclip_vision_model",
139
+ "no_repeat_ngram_size": 0,
140
+ "num_attention_heads": 12,
141
+ "num_beam_groups": 1,
142
+ "num_beams": 1,
143
+ "num_channels": 3,
144
+ "num_frames": 8,
145
+ "num_hidden_layers": 12,
146
+ "num_return_sequences": 1,
147
+ "output_attentions": false,
148
+ "output_hidden_states": false,
149
+ "output_scores": false,
150
+ "pad_token_id": null,
151
+ "patch_size": 32,
152
+ "prefix": null,
153
+ "problem_type": null,
154
+ "pruned_heads": {},
155
+ "remove_invalid_values": false,
156
+ "repetition_penalty": 1.0,
157
+ "return_dict": true,
158
+ "return_dict_in_generate": false,
159
+ "sep_token_id": null,
160
+ "task_specific_params": null,
161
+ "temperature": 1.0,
162
+ "tf_legacy_loss": false,
163
+ "tie_encoder_decoder": false,
164
+ "tie_word_embeddings": true,
165
+ "tokenizer_class": null,
166
+ "top_k": 50,
167
+ "top_p": 1.0,
168
+ "torch_dtype": null,
169
+ "torchscript": false,
170
+ "transformers_version": "4.22.0.dev0",
171
+ "typical_p": 1.0,
172
+ "use_bfloat16": false
173
+ },
174
+ "vision_config_dict": null
175
+ }
Video/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
Video/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:abf286e8cdd0612761c3e42d3a55eca998382dfa67a04a0f3fdcdfa4f150cdbb
3
+ size 786414772
Video/preprocessor_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_center_crop": true,
3
+ "do_normalize": true,
4
+ "do_resize": true,
5
+ "feature_extractor_type": "VideoMAEFeatureExtractor",
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_std": [
12
+ 0.229,
13
+ 0.224,
14
+ 0.225
15
+ ],
16
+ "processor_class": "XCLIPProcessor",
17
+ "resample": 2,
18
+ "size": 224
19
+ }
Video/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2840b05bd4ed269688ff76a239e703dd930db4a160726c5b79b9ef26f173452
3
+ size 786535711
Video/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|startoftext|>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<|endoftext|>",
17
+ "unk_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": true,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
Video/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
Video/tokenizer_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "bos_token": {
4
+ "__type": "AddedToken",
5
+ "content": "<|startoftext|>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false
10
+ },
11
+ "do_lower_case": true,
12
+ "eos_token": {
13
+ "__type": "AddedToken",
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "errors": "replace",
21
+ "model_max_length": 77,
22
+ "name_or_path": "openai/clip-vit-base-patch32",
23
+ "pad_token": "<|endoftext|>",
24
+ "processor_class": "CLIPProcessor",
25
+ "special_tokens_map_file": "/home/niels/.cache/huggingface/hub/models--openai--clip-vit-base-patch32/snapshots/f4881ba48ee4d21b7ed5602603b9e3e92eb1b346/special_tokens_map.json",
26
+ "tokenizer_class": "CLIPTokenizer",
27
+ "unk_token": {
28
+ "__type": "AddedToken",
29
+ "content": "<|endoftext|>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
Video/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,434 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ {
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "_name_or_path": "LeroyDyer/Mixtral_AI_Multi_Input_Model/Text",
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 14336,
14
+ "max_position_embeddings": 32768,
15
+ "model_type": "mistral",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 32,
18
+ "num_key_value_heads": 8,
19
+ "rms_norm_eps": 1e-05,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.36.0",
25
+ "use_cache": true,
26
+ "vocab_size": 32000
27
+ }
28
+ {
29
+ "_name_or_path": "LeroyDyer/Mixtral_AI_Multi_Input_Model/Sound",
30
+ "architectures": [
31
+ "WhisperForConditionalGeneration"
32
+ ],
33
+ "activation_dropout": 0.0,
34
+ "activation_function": "gelu",
35
+ "attention_dropout": 0.0,
36
+ "begin_suppress_tokens": [
37
+ 220,
38
+ 50256
39
+ ],
40
+ "bos_token_id": 50257,
41
+ "d_model": 1024,
42
+ "decoder_attention_heads": 16,
43
+ "decoder_ffn_dim": 4096,
44
+ "decoder_layerdrop": 0.0,
45
+ "decoder_layers": 24,
46
+ "decoder_start_token_id": 50257,
47
+ "dropout": 0.0,
48
+ "encoder_attention_heads": 16,
49
+ "encoder_ffn_dim": 4096,
50
+ "encoder_layerdrop": 0.0,
51
+ "encoder_layers": 24,
52
+ "eos_token_id": 50256,
53
+ "forced_decoder_ids": [
54
+ [
55
+ 1,
56
+ 50362
57
+ ]
58
+ ],
59
+ "init_std": 0.02,
60
+ "is_encoder_decoder": true,
61
+ "max_length": 448,
62
+ "max_source_positions": 1500,
63
+ "max_target_positions": 448,
64
+ "model_type": "whisper",
65
+ "num_hidden_layers": 24,
66
+ "num_mel_bins": 80,
67
+ "pad_token_id": 50256,
68
+ "scale_embedding": false,
69
+ "suppress_tokens": [
70
+ 1,
71
+ 2,
72
+ 7,
73
+ 8,
74
+ 9,
75
+ 10,
76
+ 14,
77
+ 25,
78
+ 26,
79
+ 27,
80
+ 28,
81
+ 29,
82
+ 31,
83
+ 58,
84
+ 59,
85
+ 60,
86
+ 61,
87
+ 62,
88
+ 63,
89
+ 90,
90
+ 91,
91
+ 92,
92
+ 93,
93
+ 357,
94
+ 366,
95
+ 438,
96
+ 532,
97
+ 685,
98
+ 705,
99
+ 796,
100
+ 930,
101
+ 1058,
102
+ 1220,
103
+ 1267,
104
+ 1279,
105
+ 1303,
106
+ 1343,
107
+ 1377,
108
+ 1391,
109
+ 1635,
110
+ 1782,
111
+ 1875,
112
+ 2162,
113
+ 2361,
114
+ 2488,
115
+ 3467,
116
+ 4008,
117
+ 4211,
118
+ 4600,
119
+ 4808,
120
+ 5299,
121
+ 5855,
122
+ 6329,
123
+ 7203,
124
+ 9609,
125
+ 9959,
126
+ 10563,
127
+ 10786,
128
+ 11420,
129
+ 11709,
130
+ 11907,
131
+ 13163,
132
+ 13697,
133
+ 13700,
134
+ 14808,
135
+ 15306,
136
+ 16410,
137
+ 16791,
138
+ 17992,
139
+ 19203,
140
+ 19510,
141
+ 20724,
142
+ 22305,
143
+ 22935,
144
+ 27007,
145
+ 30109,
146
+ 30420,
147
+ 33409,
148
+ 34949,
149
+ 40283,
150
+ 40493,
151
+ 40549,
152
+ 47282,
153
+ 49146,
154
+ 50257,
155
+ 50357,
156
+ 50358,
157
+ 50359,
158
+ 50360,
159
+ 50361
160
+ ],
161
+ "torch_dtype": "float32",
162
+ "transformers_version": "4.27.0.dev0",
163
+ "use_cache": true,
164
+ "vocab_size": 51864
165
+ }
166
+ {
167
+ "_name_or_path": "LeroyDyer/Mixtral_AI_Multi_Input_Model/Video",
168
+ "architectures": [
169
+ "XClipModel"
170
+ ],
171
+ "initializer_factor": 1.0,
172
+ "logit_scale_init_value": 2.6592,
173
+ "model_type": "xclip",
174
+ "projection_dim": 512,
175
+ "prompt_alpha": 0.1,
176
+ "prompt_attention_dropout": 0.0,
177
+ "prompt_hidden_act": "quick_gelu",
178
+ "prompt_layers": 2,
179
+ "prompt_num_attention_heads": 8,
180
+ "prompt_projection_dropout": 0.0,
181
+ "text_config": {
182
+ "add_cross_attention": false,
183
+ "architectures": null,
184
+ "attention_dropout": 0.0,
185
+ "bad_words_ids": null,
186
+ "bos_token_id": 0,
187
+ "chunk_size_feed_forward": 0,
188
+ "cross_attention_hidden_size": null,
189
+ "decoder_start_token_id": null,
190
+ "diversity_penalty": 0.0,
191
+ "do_sample": false,
192
+ "dropout": 0.0,
193
+ "early_stopping": false,
194
+ "encoder_no_repeat_ngram_size": 0,
195
+ "eos_token_id": 2,
196
+ "exponential_decay_length_penalty": null,
197
+ "finetuning_task": null,
198
+ "forced_bos_token_id": null,
199
+ "forced_eos_token_id": null,
200
+ "hidden_act": "quick_gelu",
201
+ "hidden_size": 512,
202
+ "id2label": {
203
+ "0": "LABEL_0",
204
+ "1": "LABEL_1"
205
+ },
206
+ "initializer_factor": 1.0,
207
+ "initializer_range": 0.02,
208
+ "intermediate_size": 2048,
209
+ "is_decoder": false,
210
+ "is_encoder_decoder": false,
211
+ "label2id": {
212
+ "LABEL_0": 0,
213
+ "LABEL_1": 1
214
+ },
215
+ "layer_norm_eps": 1e-05,
216
+ "length_penalty": 1.0,
217
+ "max_length": 20,
218
+ "max_position_embeddings": 77,
219
+ "min_length": 0,
220
+ "model_type": "xclip_text_model",
221
+ "no_repeat_ngram_size": 0,
222
+ "num_attention_heads": 8,
223
+ "num_beam_groups": 1,
224
+ "num_beams": 1,
225
+ "num_hidden_layers": 12,
226
+ "num_return_sequences": 1,
227
+ "output_attentions": false,
228
+ "output_hidden_states": false,
229
+ "output_scores": false,
230
+ "pad_token_id": 1,
231
+ "prefix": null,
232
+ "problem_type": null,
233
+ "pruned_heads": {},
234
+ "remove_invalid_values": false,
235
+ "repetition_penalty": 1.0,
236
+ "return_dict": true,
237
+ "return_dict_in_generate": false,
238
+ "sep_token_id": null,
239
+ "task_specific_params": null,
240
+ "temperature": 1.0,
241
+ "tf_legacy_loss": false,
242
+ "tie_encoder_decoder": false,
243
+ "tie_word_embeddings": true,
244
+ "tokenizer_class": null,
245
+ "top_k": 50,
246
+ "top_p": 1.0,
247
+ "torch_dtype": null,
248
+ "torchscript": false,
249
+ "transformers_version": "4.22.0.dev0",
250
+ "typical_p": 1.0,
251
+ "use_bfloat16": false,
252
+ "vocab_size": 49408
253
+ },
254
+ "text_config_dict": null,
255
+ "torch_dtype": "float32",
256
+ "transformers_version": null,
257
+ "vision_config": {
258
+ "_name_or_path": "",
259
+ "add_cross_attention": false,
260
+ "architectures": null,
261
+ "attention_dropout": 0.0,
262
+ "bad_words_ids": null,
263
+ "bos_token_id": null,
264
+ "chunk_size_feed_forward": 0,
265
+ "cross_attention_hidden_size": null,
266
+ "decoder_start_token_id": null,
267
+ "diversity_penalty": 0.0,
268
+ "do_sample": false,
269
+ "drop_path_rate": 0.0,
270
+ "dropout": 0.0,
271
+ "early_stopping": false,
272
+ "encoder_no_repeat_ngram_size": 0,
273
+ "eos_token_id": null,
274
+ "exponential_decay_length_penalty": null,
275
+ "finetuning_task": null,
276
+ "forced_bos_token_id": null,
277
+ "forced_eos_token_id": null,
278
+ "hidden_act": "quick_gelu",
279
+ "hidden_size": 768,
280
+ "id2label": {
281
+ "0": "LABEL_0",
282
+ "1": "LABEL_1"
283
+ },
284
+ "image_size": 224,
285
+ "initializer_factor": 1.0,
286
+ "initializer_range": 0.02,
287
+ "intermediate_size": 3072,
288
+ "is_decoder": false,
289
+ "is_encoder_decoder": false,
290
+ "label2id": {
291
+ "LABEL_0": 0,
292
+ "LABEL_1": 1
293
+ },
294
+ "layer_norm_eps": 1e-05,
295
+ "length_penalty": 1.0,
296
+ "max_length": 20,
297
+ "min_length": 0,
298
+ "mit_hidden_size": 512,
299
+ "mit_intermediate_size": 2048,
300
+ "mit_num_attention_heads": 8,
301
+ "mit_num_hidden_layers": 1,
302
+ "model_type": "xclip_vision_model",
303
+ "no_repeat_ngram_size": 0,
304
+ "num_attention_heads": 12,
305
+ "num_beam_groups": 1,
306
+ "num_beams": 1,
307
+ "num_channels": 3,
308
+ "num_frames": 8,
309
+ "num_hidden_layers": 12,
310
+ "num_return_sequences": 1,
311
+ "output_attentions": false,
312
+ "output_hidden_states": false,
313
+ "output_scores": false,
314
+ "pad_token_id": null,
315
+ "patch_size": 32,
316
+ "prefix": null,
317
+ "problem_type": null,
318
+ "pruned_heads": {},
319
+ "remove_invalid_values": false,
320
+ "repetition_penalty": 1.0,
321
+ "return_dict": true,
322
+ "return_dict_in_generate": false,
323
+ "sep_token_id": null,
324
+ "task_specific_params": null,
325
+ "temperature": 1.0,
326
+ "tf_legacy_loss": false,
327
+ "tie_encoder_decoder": false,
328
+ "tie_word_embeddings": true,
329
+ "tokenizer_class": null,
330
+ "top_k": 50,
331
+ "top_p": 1.0,
332
+ "torch_dtype": null,
333
+ "torchscript": false,
334
+ "transformers_version": "4.22.0.dev0",
335
+ "typical_p": 1.0,
336
+ "use_bfloat16": false
337
+ "vision_config_dict": null
338
+ }
339
+ }
340
+ {
341
+ "_name_or_path": "LeroyDyer/Mixtral_AI_Multi_Input_Model/Image",
342
+ "architectures": [
343
+ "CLIPModel"
344
+ ],
345
+ "initializer_factor": 1.0,
346
+ "logit_scale_init_value": 2.6592,
347
+ "model_type": "clip",
348
+ "projection_dim": 768,
349
+ "text_config": {
350
+ "_name_or_path": "",
351
+ "add_cross_attention": false,
352
+ "architectures": null,
353
+ "attention_dropout": 0.0,
354
+ "bad_words_ids": null,
355
+ "bos_token_id": 0,
356
+ "chunk_size_feed_forward": 0,
357
+ "cross_attention_hidden_size": null,
358
+ "decoder_start_token_id": null,
359
+ "diversity_penalty": 0.0,
360
+ "do_sample": false,
361
+ "dropout": 0.0,
362
+ "early_stopping": false,
363
+ "encoder_no_repeat_ngram_size": 0,
364
+ "eos_token_id": 2,
365
+ "exponential_decay_length_penalty": null,
366
+ "finetuning_task": null,
367
+ "forced_bos_token_id": null,
368
+ "forced_eos_token_id": null,
369
+ "hidden_act": "quick_gelu",
370
+ "hidden_size": 768,
371
+ "id2label": {
372
+ "0": "LABEL_0",
373
+ "1": "LABEL_1"
374
+ },
375
+ "initializer_factor": 1.0,
376
+ "initializer_range": 0.02,
377
+ "intermediate_size": 3072,
378
+ "is_decoder": false,
379
+ "is_encoder_decoder": false,
380
+ "label2id": {
381
+ "LABEL_0": 0,
382
+ "LABEL_1": 1
383
+ },
384
+ "layer_norm_eps": 1e-05,
385
+ "length_penalty": 1.0,
386
+ "max_length": 20,
387
+ "max_position_embeddings": 77,
388
+ "min_length": 0,
389
+ "model_type": "clip_text_model",
390
+ "no_repeat_ngram_size": 0,
391
+ "num_attention_heads": 12,
392
+ "num_beam_groups": 1,
393
+ "num_beams": 1,
394
+ "num_hidden_layers": 12,
395
+ "num_return_sequences": 1,
396
+ "output_attentions": false,
397
+ "output_hidden_states": false,
398
+ "output_scores": false,
399
+ "pad_token_id": 1,
400
+ "prefix": null,
401
+ "problem_type": null,
402
+ "projection_dim": 768,
403
+ "pruned_heads": {},
404
+ "remove_invalid_values": false,
405
+ "repetition_penalty": 1.0,
406
+ "return_dict": true,
407
+ "return_dict_in_generate": false,
408
+ "sep_token_id": null,
409
+ "task_specific_params": null,
410
+ "temperature": 1.0,
411
+ "tf_legacy_loss": false,
412
+ "tie_encoder_decoder": false,
413
+ "tie_word_embeddings": true,
414
+ "tokenizer_class": null,
415
+ "top_k": 50,
416
+ "top_p": 1.0,
417
+ "torch_dtype": null,
418
+ "torchscript": false,
419
+ "transformers_version": "4.21.3",
420
+ "typical_p": 1.0,
421
+ "use_bfloat16": false,
422
+ "vocab_size": 49408
423
+ },
424
+ "text_config_dict": {
425
+ "hidden_size": 768,
426
+ "intermediate_size": 3072,
427
+ "num_attention_heads": 12,
428
+ "num_hidden_layers": 12,
429
+ "projection_dim": 768
430
+ },
431
+ "torch_dtype": "float32",
432
+ "transformers_version": null,
433
+ }
434
+ }
model-00001-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fcbf38c504b84b6109933b4a46e287ebb9d8884d6b35996f541d4fe9acbb7cd4
3
+ size 1979773096
model-00002-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca3a0725cee5e16bbee730be72500b17e5742bbfc123efcccc50ec6b3cd0654b
3
+ size 1946235600
model-00003-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a815795a9848ee4a5194bd18fc7d04e7d075aed60c462aa4e71dfc35f55f3615
3
+ size 1973490176
model-00004-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d0683bd90badb33ab2624a3660962f0146727b8b3abd1cc37406ac149e9782a
3
+ size 1979781432
model-00005-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:acad44fbfc419d8bb72afedd1ed41afb29d684e84f21777a3df48684f63eb78f
3
+ size 1946243944
model-00006-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c6d1e33e5e6960512b925a7b85f5823ba4ca1abf1724e30c50e3383919ea85b
3
+ size 1923166008
model-00007-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e33eefd3e14e2216741431f3272761541b0597cfce134fe5110ecb31734e3a5
3
+ size 1946243944
model-00008-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2288fe3f3ee99686fac9a7532b04da0eb379ce46a4e53f6804ff4c61fb50b030
3
+ size 788563536