jsfs11 commited on
Commit
992299a
1 Parent(s): 4cc5414

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - moe
5
+ - frankenmoe
6
+ - merge
7
+ - mergekit
8
+ - lazymergekit
9
+ - yam-peleg/Experiment26-7B
10
+ - mlabonne/AlphaMonarch-7B
11
+ base_model:
12
+ - yam-peleg/Experiment26-7B
13
+ - mlabonne/AlphaMonarch-7B
14
+ ---
15
+
16
+ # MixtureofMerges-MoE-2x7b-v6
17
+
18
+ MixtureofMerges-MoE-2x7b-v6 is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
19
+ * [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
20
+ * [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
21
+
22
+ ## 🧩 Configuration
23
+
24
+ ```yaml
25
+ base_model: yam-peleg/Experiment26-7B
26
+ gate_mode: hidden
27
+ dtype: bfloat16
28
+ experts:
29
+ - source_model: yam-peleg/Experiment26-7B
30
+ positive_prompts:
31
+ - "Answer this question from the ARC (Argument Reasoning Comprehension)."
32
+ - "Use common sense and logical reasoning skills."
33
+ - "What assumptions does this argument rely on?"
34
+ - "Are these assumptions valid? Explain."
35
+ - "Could this be explained in a different way? Provide an alternative explanation."
36
+ - "Identify any weaknesses in this argument."
37
+ - "Does this argument contain any logical fallacies? If so, which ones?"
38
+ - "Generate a few possible continuations to this scenario."
39
+ - "Demonstrate understanding of everyday commonsense in your response."
40
+ - "Use contextual clues to determine the most likely outcome."
41
+ - "Continue this scenario, but make the writing style sound archaic and overly formal."
42
+ - "This narrative is predictable. Can you introduce an unexpected yet plausible twist?"
43
+ - "The character is angry. Continue this scenario showcasing a furious outburst."
44
+ negative_prompts:
45
+ - "misses key evidence"
46
+ - "overly general"
47
+ - "focuses on irrelevant details"
48
+ - "assumes information not provided"
49
+ - "relies on stereotypes"
50
+ - "repetitive phrases"
51
+ - "overuse of the same words"
52
+ - "contradicts earlier statements - breaks the internal logic of the scenario"
53
+ - "out of character dialogue"
54
+ - "awkward phrasing - sounds unnatural"
55
+ - "doesn't match the given genre"
56
+ - source_model: mlabonne/AlphaMonarch-7B
57
+ positive_prompts:
58
+ - "Answer this question, demonstrating commonsense understanding and using any relevant general knowledge you may have."
59
+ - "Provide a concise summary of this passage, then explain why the highlighted section is essential to the main idea."
60
+ - "Read these two brief articles presenting different viewpoints on the same topic. List their key arguments and highlight where they disagree."
61
+ - "Paraphrase this statement, changing the emotional tone but keeping the core meaning intact. Example: Rephrase a worried statement in a humorous way"
62
+ - "Create a short analogy that helps illustrate the main concept of this article."
63
+ - "Calculate the answer to this math problem"
64
+ - "My mathematical capabilities are strong, allowing me to handle complex mathematical queries"
65
+ - "solve for"
66
+ - "A store sells apples at $0.50 each. If Emily buys 12 apples, how much does she need to pay?"
67
+ - "Isolate x in the following equation: 2x + 5 = 17"
68
+ - "Solve this equation and show your working."
69
+ - "Explain why you used this formula to solve the problem."
70
+ - "Attempt to divide this number by zero. Explain why this cannot be done."
71
+ negative_prompts:
72
+ - "sounds too basic"
73
+ - "understated"
74
+ - "dismisses important details"
75
+ - "avoids the question's nuance"
76
+ - "takes this statement too literally"
77
+ - "incorrect"
78
+ - "inaccurate"
79
+ - "assumed without proof"
80
+ - "rushed calculation"
81
+ - "confuses mathematical concepts"
82
+ - "draws illogical conclusions"
83
+ - "circular reasoning"
84
+ ```
85
+
86
+ ## 💻 Usage
87
+
88
+ ```python
89
+ !pip install -qU transformers bitsandbytes accelerate
90
+
91
+ from transformers import AutoTokenizer
92
+ import transformers
93
+ import torch
94
+
95
+ model = "jsfs11/MixtureofMerges-MoE-2x7b-v6"
96
+
97
+ tokenizer = AutoTokenizer.from_pretrained(model)
98
+ pipeline = transformers.pipeline(
99
+ "text-generation",
100
+ model=model,
101
+ model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
102
+ )
103
+
104
+ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
105
+ prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
106
+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
107
+ print(outputs[0]["generated_text"])
108
+ ```
cal_data.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08be1103ff8fcef33b570f3c0f5ae4cc7f9dc5c3f264105baa55fc9b132ed1be
3
+ size 1638488
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "yam-peleg/Experiment26-7B",
3
+ "architectures": [
4
+ "MixtralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
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": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mixtral",
15
+ "num_attention_heads": 32,
16
+ "num_experts_per_tok": 2,
17
+ "num_hidden_layers": 32,
18
+ "num_key_value_heads": 8,
19
+ "num_local_experts": 2,
20
+ "output_router_logits": false,
21
+ "rms_norm_eps": 1e-05,
22
+ "rope_theta": 10000.0,
23
+ "router_aux_loss_coef": 0.001,
24
+ "sliding_window": null,
25
+ "tie_word_embeddings": false,
26
+ "torch_dtype": "bfloat16",
27
+ "transformers_version": "4.38.2",
28
+ "use_cache": true,
29
+ "vocab_size": 32000
30
+ }
hidden_states.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd0e1d21c3b5f7b72885af2d33264e2f72709fc7b6b512849f179d30f921991f
3
+ size 1677730376
job_new.json ADDED
The diff for this file is too large to render. See raw diff
 
measurement.json ADDED
The diff for this file is too large to render. See raw diff
 
mergekit_moe_config.yml ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ base_model: yam-peleg/Experiment26-7B
3
+ gate_mode: hidden
4
+ dtype: bfloat16
5
+ experts:
6
+ - source_model: yam-peleg/Experiment26-7B
7
+ positive_prompts:
8
+ - "Answer this question from the ARC (Argument Reasoning Comprehension)."
9
+ - "Use common sense and logical reasoning skills."
10
+ - "What assumptions does this argument rely on?"
11
+ - "Are these assumptions valid? Explain."
12
+ - "Could this be explained in a different way? Provide an alternative explanation."
13
+ - "Identify any weaknesses in this argument."
14
+ - "Does this argument contain any logical fallacies? If so, which ones?"
15
+ - "Generate a few possible continuations to this scenario."
16
+ - "Demonstrate understanding of everyday commonsense in your response."
17
+ - "Use contextual clues to determine the most likely outcome."
18
+ - "Continue this scenario, but make the writing style sound archaic and overly formal."
19
+ - "This narrative is predictable. Can you introduce an unexpected yet plausible twist?"
20
+ - "The character is angry. Continue this scenario showcasing a furious outburst."
21
+ negative_prompts:
22
+ - "misses key evidence"
23
+ - "overly general"
24
+ - "focuses on irrelevant details"
25
+ - "assumes information not provided"
26
+ - "relies on stereotypes"
27
+ - "repetitive phrases"
28
+ - "overuse of the same words"
29
+ - "contradicts earlier statements - breaks the internal logic of the scenario"
30
+ - "out of character dialogue"
31
+ - "awkward phrasing - sounds unnatural"
32
+ - "doesn't match the given genre"
33
+ - source_model: mlabonne/AlphaMonarch-7B
34
+ positive_prompts:
35
+ - "Answer this question, demonstrating commonsense understanding and using any relevant general knowledge you may have."
36
+ - "Provide a concise summary of this passage, then explain why the highlighted section is essential to the main idea."
37
+ - "Read these two brief articles presenting different viewpoints on the same topic. List their key arguments and highlight where they disagree."
38
+ - "Paraphrase this statement, changing the emotional tone but keeping the core meaning intact. Example: Rephrase a worried statement in a humorous way"
39
+ - "Create a short analogy that helps illustrate the main concept of this article."
40
+ - "Calculate the answer to this math problem"
41
+ - "My mathematical capabilities are strong, allowing me to handle complex mathematical queries"
42
+ - "solve for"
43
+ - "A store sells apples at $0.50 each. If Emily buys 12 apples, how much does she need to pay?"
44
+ - "Isolate x in the following equation: 2x + 5 = 17"
45
+ - "Solve this equation and show your working."
46
+ - "Explain why you used this formula to solve the problem."
47
+ - "Attempt to divide this number by zero. Explain why this cannot be done."
48
+ negative_prompts:
49
+ - "sounds too basic"
50
+ - "understated"
51
+ - "dismisses important details"
52
+ - "avoids the question's nuance"
53
+ - "takes this statement too literally"
54
+ - "incorrect"
55
+ - "inaccurate"
56
+ - "assumed without proof"
57
+ - "rushed calculation"
58
+ - "confuses mathematical concepts"
59
+ - "draws illogical conclusions"
60
+ - "circular reasoning"
model.safetensors.index.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"metadata": {"mergekit_version": "0.0.4"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00003.safetensors", "model.norm.weight": "model-00001-of-00003.safetensors", "lm_head.weight": "model-00001-of-00003.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.11.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.12.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.13.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.14.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.15.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.16.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.17.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.18.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.19.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.20.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.21.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.22.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.23.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.24.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.25.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.26.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.27.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.28.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.29.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.30.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.31.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.2.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.2.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.3.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.3.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.4.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.4.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.5.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.5.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.6.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.6.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.7.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.7.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.8.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.8.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.9.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.9.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.10.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.10.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.11.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.11.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.12.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.12.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.13.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.13.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.14.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.14.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.15.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.15.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.16.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.16.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.17.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.17.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.18.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.18.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.19.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.19.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.20.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.20.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.21.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.21.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.22.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.22.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.23.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.23.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.24.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.24.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.25.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.25.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.26.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.26.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.27.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.27.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.28.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.28.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.29.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.29.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.30.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.30.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.31.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00003.safetensors", "model.layers.31.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00003.safetensors", "model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00003.safetensors", "model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00003.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00003.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00003.safetensors", "model.layers.2.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00003.safetensors", "model.layers.2.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00003.safetensors", "model.layers.3.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00003.safetensors", "model.layers.3.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00003.safetensors", "model.layers.4.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00003.safetensors", "model.layers.4.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00003.safetensors", "model.layers.5.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00003.safetensors", "model.layers.5.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00003.safetensors", "model.layers.6.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00003.safetensors", "model.layers.6.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00003.safetensors", "model.layers.7.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00003.safetensors", "model.layers.7.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00003.safetensors", "model.layers.8.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.8.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.9.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.9.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.10.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.10.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.11.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.11.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.12.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.12.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.13.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.13.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.14.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.14.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.15.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.15.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.16.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.16.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.17.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.17.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.18.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.18.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.19.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.19.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.20.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.20.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.21.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.21.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.22.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.22.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.23.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.23.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.24.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.24.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.25.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.25.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.26.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.26.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.27.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.27.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.28.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.28.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.29.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.29.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.30.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.30.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.31.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00003.safetensors", "model.layers.31.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00003.safetensors", "model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.2.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.2.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.3.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.3.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.4.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.4.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.5.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.5.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.6.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.6.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.7.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.7.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.8.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.8.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.9.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.9.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.10.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.10.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.11.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.11.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.12.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.12.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.13.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.13.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.14.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.14.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.15.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.15.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.16.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.16.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.17.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.17.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00003.safetensors", "model.layers.18.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00003.safetensors", "model.layers.18.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.19.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.19.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.20.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.20.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.21.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.21.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.22.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.22.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.23.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.23.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.24.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.24.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.25.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.25.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.26.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.26.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.27.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.27.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.28.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.28.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.29.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.29.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.30.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.30.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.31.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00003.safetensors", "model.layers.31.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00003.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.0.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.1.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.2.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.3.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.4.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.5.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.6.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.7.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.8.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.9.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.10.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.11.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.12.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.13.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.14.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.15.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.16.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.17.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.18.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.19.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.20.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.21.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.22.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.23.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.24.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.25.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.26.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.27.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.28.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.29.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.30.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors", "model.layers.31.block_sparse_moe.gate.weight": "model-00003-of-00003.safetensors"}}
output-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b57afe4376732881c53cee34613e61d6e322a4f029e6c415735ab978409b9c5
3
+ size 8563534616
output-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:df8957d4a7950bdecfceeedeccd5575d319c7631a1ca6224419ee842a9d1f34f
3
+ size 4417209496
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
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": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [],
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": true,
35
+ "model_max_length": 32768,
36
+ "pad_token": "<s>",
37
+ "padding_side": "left",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }