blockblockblock commited on
Commit
ec7c9df
1 Parent(s): c9fa4ec

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ SambaLingo_Logo.png filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: llama2
3
+ datasets:
4
+ - HuggingFaceH4/ultrachat_200k
5
+ - HuggingFaceH4/ultrafeedback_binarized
6
+ - HuggingFaceH4/cai-conversation-harmless
7
+ language:
8
+ - hu
9
+ - en
10
+ ---
11
+
12
+
13
+
14
+ # SambaLingo-Hungarian-Chat
15
+
16
+ <img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
17
+
18
+ <!-- Provide a quick summary of what the model is/does. -->
19
+ SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model [SambaLingo-Hungarian-Base](https://huggingface.co/sambanovasystems/SambaLingo-Hungarian-Base). The base model adapts [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b-hf) to Hungarian by training on 59 billion tokens from the Hungarian split of the [Cultura-X](https://huggingface.co/datasets/uonlp/CulturaX) dataset. Try This Model at [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space).
20
+
21
+ ## Model Description
22
+ <!-- Provide a longer summary of what this model is. -->
23
+
24
+ - **Developed by:** [SambaNova Systems](https://sambanova.ai/)
25
+ - **Model type:** Language Model
26
+ - **Language(s):** Hungarian, English
27
+ - **Finetuned from model:** [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b-hf)
28
+ - **Try This Model:** [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space)
29
+ - **Blog Post**: [sambalingo-open-source-language-experts](https://sambanova.ai/blog/sambalingo-open-source-language-experts)
30
+
31
+ ## Getting Started
32
+
33
+ ### Loading Model With Hugging Face
34
+ Please make sure to set use_fast=False when loading the tokenizer.
35
+ ```python
36
+ from transformers import AutoModelForCausalLM, AutoTokenizer
37
+
38
+ tokenizer = AutoTokenizer.from_pretrained("sambanovasystems/SambaLingo-Hungarian-Chat", use_fast=False)
39
+ model = AutoModelForCausalLM.from_pretrained("sambanovasystems/SambaLingo-Hungarian-Chat", device_map="auto", torch_dtype="auto")
40
+ ```
41
+
42
+ ### Interacting With Model Pipeline
43
+ Please make sure to set use_fast=False when loading the tokenizer.
44
+ ```python
45
+ from transformers import pipeline
46
+ pipe = pipeline("text-generation", model="sambanovasystems/SambaLingo-Hungarian-Chat", device_map="auto", use_fast=False)
47
+ messages = [
48
+ {"role": "user", "content": {YOUR_QUESTION}},
49
+ ]
50
+ prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
51
+ outputs = pipe(prompt)[0]
52
+ outputs = outputs["generated_text"]
53
+ ```
54
+
55
+ ### Suggested Inference Parameters
56
+ - Temperature: 0.8
57
+ - Repetition penalty: 1.0
58
+ - Top-p: 0.9
59
+
60
+ ### Prompting Guidelines
61
+ To prompt this model, please use the following chat template:
62
+ ```
63
+ <|user|>\n{question}</s>\n<|assistant|>\n
64
+ ```
65
+
66
+ ### Example Prompts and Generations
67
+ ```
68
+ <|user|>
69
+ Mi a jelentőssége a magyar szürkemarhának?</s>
70
+ <|assistant|>
71
+ A magyar szürkemarha jelentős kulturális és gazdasági jelentőséggel bír Magyarország számára. Íme néhány ok, amiért:
72
+
73
+ 1. Kulturális örökség: A magyar szürkemarha a magyar kultúra és örökség szimbóluma. A fajta évszázadok óta létezik, és a magyar puszta ikonikus szimbólumává vált.
74
+
75
+ 2. Élelmiszer: A magyar szürkemarha húsa és teje kiváló minőségű, és keresett a magyar és a nemzetközi piacokon. A hús sovány, zsírszegény, és magas a fehérje- és vastartalma.
76
+
77
+ 3. Turizmus: A magyar szürkemarha fontos turisztikai attrakció Magyarországon. A látogatók szívesen látogatják a szürkemarha farmokat, és megismerkednek a fajta történetével és tenyésztésével.
78
+
79
+ 4. Génmegőrzés: A magyar szürkemarha fontos génmegőrző faj, amely segít megőrizni a hagyományos gazdálkodási gyakorlatokat és a helyi ökoszisztémákat.
80
+
81
+ 5. Gazdasági hatás: A magyar szürkemarha fontos gazdasági tevékenység Magyarország számára. A fajta tenyésztése és feldolgozása munkahelyeket teremt, és bevételt generál a gazdálkodók és a feldolgozók számára.
82
+
83
+ Összességében a magyar szürkemarha jelentős kulturális, gazdasági és ökológiai jelentőséggel bír Magyarország számára. A fajta megőrzése és népszerűsítése fontos a magyar kultúra és örökség, valamint a helyi gazdaság és ökoszisztémák szempontjából.
84
+ ```
85
+
86
+ ## Training Details
87
+ The alignment phase follows the recipe for [Zephyr-7B](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta), and comprises two stages: supervised fine-tuning (SFT) and Direct Performance Optimization (DPO).
88
+
89
+ The SFT phase was done on the [ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) dataset mixed with the Google translated version of the ultrachat_200k dataset. It was trained for one epoch with global batch size 512 and max sequence length 2048 tokens. We used a linear decay learning rate of 2e-5 and 10% warmup.
90
+
91
+ The DPO phase was done on the [ultrafeedback](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized) dataset and [cai-conversation-harmless](https://huggingface.co/datasets/HuggingFaceH4/cai-conversation-harmless) dataset, mixed with 10% of the data Google translated. It was trained with global batch size 32 and for three epochs. We used a linear decay learning rate of 5e-7, 10% warmup and β=0.1 as the regularization factor for DPO.
92
+
93
+
94
+ ## Tokenizer Details
95
+ We extended the vocabulary of the base llama model from 32,000 tokens to 57,000 tokens by adding up to 25,000 non-overlapping tokens from the new language.
96
+
97
+ ## Uses
98
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
99
+
100
+ ### Direct Use
101
+
102
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
103
+ Use of this model is governed by the Meta’s [Llama 2 Community License Agreement](https://ai.meta.com/llama/license/). Please review and accept the license before downloading the model weights.
104
+
105
+
106
+ ### Out-of-Scope Use
107
+
108
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
109
+ SambaLingo should NOT be used for:
110
+
111
+ - Mission-critical applications
112
+ - Applications that involve the safety of others
113
+ - Making highly important decisions
114
+
115
+ ## Bias, Risks, and Limitations
116
+
117
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
118
+
119
+ Like all LLMs, SambaLingo has certain limitations:
120
+ - Hallucination: Model may sometimes generate responses that contain plausible-sounding but factually incorrect or irrelevant information.
121
+ - Code Switching: The model might unintentionally switch between languages or dialects within a single response, affecting the coherence and understandability of the output.
122
+ - Repetition: The Model may produce repetitive phrases or sentences, leading to less engaging and informative responses.
123
+ - Coding and Math: The model's performance in generating accurate code or solving complex mathematical problems may be limited.
124
+ - Toxicity: The model could inadvertently generate responses containing inappropriate or harmful content.
125
+
126
+ ## Acknowledgments
127
+ We extend our heartfelt gratitude to the open-source AI community; this endeavor would not have been possible without open source. SambaNova embraces the open-source community and aspires to actively contribute to this initiative.
128
+
129
+ We would like to give a special thanks to the following groups:
130
+ - Meta for open sourcing LLama 2 and open sourcing FLORES-200 dataset
131
+ - Nguyen et al for open sourcing CulturaX dataset
132
+ - CohereAI for releasing AYA-101 and open sourcing a multilingual instruction tuning dataset
133
+ - EleutherAI for their open source evaluation framework
134
+ - Hugging Face-H4 team for open source the zephyr training recipe and alignment handbook repo
135
+
136
+
137
+ ## Cite SambaLingo
138
+ ```
139
+ @software{sambalingo,
140
+ title = {{SambaLingo: Open Source Language Experts}},
141
+ author = {SambaNova Systems},
142
+ url = {https://huggingface.co/sambanovasystems/SambaLingo-Hungarian-Chat}
143
+ month = {2},
144
+ year = {2024},
145
+ version = {1.0},
146
+ }
147
+ ```
SambaLingo_Logo.png ADDED

Git LFS Details

  • SHA256: 12134a10d8250af8f27c6e541744cf2c2b563a286abb462def466bf4c1691a7f
  • Pointer size: 132 Bytes
  • Size of remote file: 1.46 MB
config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/import/ml-sc-scratch6/bol/alignment/sn_alignment_handbook/multilingual_dpo/ckpts/sn_hu_final_ultrachatsft",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 11008,
13
+ "max_position_embeddings": 4096,
14
+ "model_name": "",
15
+ "model_type": "llama",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 32,
18
+ "num_key_value_heads": 32,
19
+ "pad_token_id": 0,
20
+ "pretraining_tp": 1,
21
+ "rms_norm_eps": 1e-05,
22
+ "rope_scaling": null,
23
+ "rope_theta": 10000.0,
24
+ "tie_word_embeddings": false,
25
+ "torch_dtype": "bfloat16",
26
+ "transformers_version": "4.35.0",
27
+ "use_cache": true,
28
+ "vocab_size": 57344,
29
+ "quantization_config": {
30
+ "quant_method": "exl2",
31
+ "version": "0.0.16",
32
+ "bits": 4.2,
33
+ "head_bits": 6,
34
+ "calibration": {
35
+ "rows": 100,
36
+ "length": 2048,
37
+ "dataset": "(default)"
38
+ }
39
+ }
40
+ }
generation_config.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.35.0",
7
+ "use_cache": false
8
+ }
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 13892067328
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.norm.weight": "model-00003-of-00003.safetensors"
297
+ }
298
+ }
output.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8418f5df63b0ec5652bcb8000a0f147bdc2020a0c1a9652c863141d8f050882
3
+ size 4055924710
pytorch_model.bin.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 13892067328
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.bin",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.bin",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.bin",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.bin",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.bin",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.bin",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.bin",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.bin",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.bin",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.bin",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.bin",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.bin",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.bin",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.bin",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.bin",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.bin",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.bin",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.bin",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.bin",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.bin",
26
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00003.bin",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.bin",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.bin",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.bin",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.bin",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.bin",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.bin",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.bin",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.bin",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.bin",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.bin",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.bin",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.bin",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.bin",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.bin",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.bin",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.bin",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.bin",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.bin",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.bin",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.bin",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.bin",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.bin",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.bin",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.bin",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.bin",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.bin",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.bin",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.bin",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.bin",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.bin",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.bin",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.bin",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.bin",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.bin",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.bin",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.bin",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.bin",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.bin",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.bin",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.bin",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.bin",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.bin",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.bin",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.bin",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.bin",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.bin",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.bin",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.bin",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.bin",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.bin",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.bin",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.bin",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.bin",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.bin",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.bin",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.bin",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.bin",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.bin",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.bin",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.bin",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.bin",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.bin",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.bin",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.bin",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.bin",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.bin",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.bin",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.bin",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.bin",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.bin",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.bin",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.bin",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.bin",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.bin",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.bin",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.bin",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.bin",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.bin",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.bin",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.bin",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.bin",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.bin",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.bin",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.bin",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.bin",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.bin",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.bin",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.bin",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.bin",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.bin",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.bin",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.bin",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.bin",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.bin",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.bin",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.bin",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.bin",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.bin",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.bin",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.bin",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.bin",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.bin",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.bin",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.bin",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.bin",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.bin",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.bin",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.bin",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.bin",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.bin",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.bin",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.bin",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.bin",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.bin",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.bin",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.bin",
143
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00003.bin",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.bin",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.bin",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.bin",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.bin",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.bin",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.bin",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.bin",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.bin",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.bin",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.bin",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.bin",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.bin",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.bin",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.bin",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.bin",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.bin",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.bin",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.bin",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.bin",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.bin",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.bin",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.bin",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.bin",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.bin",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.bin",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.bin",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.bin",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.bin",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.bin",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.bin",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.bin",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.bin",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.bin",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.bin",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.bin",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.bin",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.bin",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.bin",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.bin",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.bin",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.bin",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.bin",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.bin",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.bin",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.bin",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.bin",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.bin",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.bin",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.bin",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.bin",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.bin",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.bin",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.bin",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.bin",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.bin",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.bin",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.bin",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.bin",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.bin",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.bin",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.bin",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.bin",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.bin",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.bin",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.bin",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.bin",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.bin",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.bin",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.bin",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.bin",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.bin",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.bin",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.bin",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.bin",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.bin",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.bin",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.bin",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.bin",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.bin",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.bin",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.bin",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.bin",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.bin",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.bin",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.bin",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.bin",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.bin",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.bin",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.bin",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.bin",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.bin",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.bin",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.bin",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.bin",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.bin",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.bin",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.bin",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.bin",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.bin",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.bin",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.bin",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.bin",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.bin",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.bin",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.bin",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.bin",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.bin",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.bin",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.bin",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.bin",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.bin",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.bin",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.bin",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.bin",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.bin",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.bin",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.bin",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.bin",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.bin",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.bin",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.bin",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.bin",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.bin",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.bin",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.bin",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.bin",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.bin",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.bin",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.bin",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.bin",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.bin",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.bin",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.bin",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.bin",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.bin",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.bin",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.bin",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.bin",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.bin",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.bin",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.bin",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.bin",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.bin",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.bin",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.bin",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.bin",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.bin",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.bin",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.bin",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.bin",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.bin",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.bin",
296
+ "model.norm.weight": "model-00003-of-00003.bin"
297
+ }
298
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae9d85f72e6d5ae1b8c6d0b53a1628b939973e135680d36da5c07e998eb25dea
3
+ size 873753
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": true,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [],
31
+ "bos_token": "<s>",
32
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": true,
36
+ "model_max_length": 2048,
37
+ "pad_token": "</s>",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": true
43
+ }