LoneStriker commited on
Commit
0185c84
1 Parent(s): 5f95f8a

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-4.0
3
+ datasets:
4
+ - Open-Orca/OpenOrca
5
+ - Intel/orca_dpo_pairs
6
+ language:
7
+ - en
8
+ tags:
9
+ - xDAN-AI
10
+ - OpenOrca
11
+ - DPO
12
+ - Self-Think
13
+ ---
14
+
15
+ <div style="display: flex; justify-content: center; align-items: center">
16
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/643197ac288c9775673a01e9/tVAcwKkIH5vkfzqgqHeHi.png" style="width: 45%;">
17
+ </div
18
+ >
19
+
20
+
21
+ <p align="center">
22
+ <big><b>Top 1 Performer on MT-bench🏆</b
23
+ ></big>
24
+ </p>
25
+
26
+ <p align="center">
27
+ <strong>**The first top model which is performance at Humanalities, Coding and Writing with 7b. **</strong>
28
+ </p>
29
+
30
+ <p
31
+ align="center"
32
+ <a href="The TOP1 MT-Bench Model">xDAN-AI</a> •
33
+ >
34
+ <a href="https://discord.gg/7NrMX5AK">Discord</a> •
35
+ <a href="https://twitter.com/shootime007">Twitter</a> •
36
+ <a href="https://huggingface.co/xDAN-AI">Huggingface</a>
37
+ </p>
38
+
39
+ <p align="center">
40
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/643197ac288c9775673a01e9/QANDZApzpTHM6sBsjmdew.png" alt="Image" width="50%">
41
+ </p>
42
+
43
+
44
+ ### Dataset:
45
+ 1. Selected from OpenOrca
46
+ 2. Intel Orca-DPO-Pairs
47
+ 3. Privately Crafted Dataset
48
+
49
+
50
+
51
+
52
+ **########## First turn ##########**
53
+ | model | turn | score | size
54
+ |--------------------|------|----------|--------
55
+ | gpt-4 | 1 | 8.95625 | -
56
+ | **xDAN-L1-Chat-RL-v1** | 1 | **8.87500** | **7b**
57
+ | xDAN-L2-Chat-RL-v2 | 1 | 8.78750 | 30b
58
+ | claude-v1 | 1 | 8.15000 | -
59
+ | gpt-3.5-turbo | 1 | 8.07500 | 20b
60
+ | vicuna-33b-v1.3 | 1 | 7.45625 | 33b
61
+ | wizardlm-30b | 1 | 7.13125 | 30b
62
+ | oasst-sft-7-llama-30b | 1 | 7.10625 | 30b
63
+ | Llama-2-70b-chat | 1 | 6.98750 | 70b
64
+
65
+
66
+ ########## Second turn ##########
67
+ | model | turn | score | size
68
+ |--------------------|------|-----------|--------
69
+ | gpt-4 | 2 | 9.025000 | -
70
+ | xDAN-L2-Chat-RL-v2 | 2 | 8.087500 | 30b
71
+ | **xDAN-L1-Chat-RL-v1** | 2 | **7.825000** | **7b**
72
+ | gpt-3.5-turbo | 2 | 7.812500 | 20b
73
+ | claude-v1 | 2 | 7.650000 | -
74
+ | wizardlm-30b | 2 | 6.887500 | 30b
75
+ | vicuna-33b-v1.3 | 2 | 6.787500 | 33b
76
+ | Llama-2-70b-chat | 2 | 6.725000 | 70b
77
+
78
+ ########## Average turn##########
79
+ | model | score | size
80
+ |--------------------|-----------|--------
81
+ | gpt-4 | 8.990625 | -
82
+ | xDAN-L2-Chat-RL-v2 | 8.437500 | 30b
83
+ | **xDAN-L1-Chat-RL-v1** | **8.350000** | **7b**
84
+ | gpt-3.5-turbo | 7.943750 | 20b
85
+ | claude-v1 | 7.900000 | -
86
+ | vicuna-33b-v1.3 | 7.121875 | 33b
87
+ | wizardlm-30b | 7.009375 | 30b
88
+ | Llama-2-70b-chat | 6.856250 | 70b
89
+
90
+ ### Prompt Template(Alpaca)
91
+ You are a helpful assistant named DAN. You are an expert in worldly knowledge, skilled in employing a probing questioning strategy,
92
+ and you carefully consider each step before providing answers.
93
+ \n\n### Instruction:\n{instruction}\n\n### Response:
94
+
95
+
96
+ ## Created By xDAN-AI at 2023-12-15
97
+ ## Eval by FastChat: https://github.com/lm-sys/FastChat.git
98
+
99
+
100
+
101
+ Disclaimer
102
+ We employ data compliance checking algorithms during the training of our language model to strive for the highest degree of compliance. However, given the intricate nature of data and the vast array of potential usage scenarios for the model, we cannot assure that it will always generate correct and reasonable outputs. Users should be cognizant of the risk of the model producing problematic outputs. Our organization will not bear responsibility for any risks or issues stemming from misuse, misguidance, illegal use, and related misinformation, as well as any consequent data security concerns.
103
+
104
+ About xDAN-AI xDAN-AI is a top lead high-performance model factory. For detailed information and further insights into our cutting-edge technology and offerings, please visit our website: https://www.xdan.ai.
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "xDAN-AI/xDAN-L1-Chat-v0.1",
3
+ "architectures": [
4
+ "MistralForCausalLM"
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": "mistral",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 8,
18
+ "rms_norm_eps": 1e-05,
19
+ "rope_theta": 10000.0,
20
+ "sliding_window": 4096,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.36.2",
24
+ "use_cache": true,
25
+ "vocab_size": 32000
26
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.36.2"
6
+ }
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 28966928384
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00033-of-00033.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00033.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00002-of-00033.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00002-of-00033.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00033.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00002-of-00033.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00033.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00033.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00033.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00033.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00033.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00003-of-00033.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00003-of-00033.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00002-of-00033.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00003-of-00033.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00003-of-00033.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00002-of-00033.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00002-of-00033.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00002-of-00033.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00002-of-00033.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00012-of-00033.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00012-of-00033.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00011-of-00033.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00012-of-00033.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00012-of-00033.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00011-of-00033.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00011-of-00033.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00011-of-00033.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00011-of-00033.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00013-of-00033.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00013-of-00033.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00012-of-00033.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00013-of-00033.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00013-of-00033.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00012-of-00033.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00012-of-00033.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00012-of-00033.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00012-of-00033.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00014-of-00033.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00014-of-00033.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00013-of-00033.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00014-of-00033.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00014-of-00033.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00013-of-00033.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00013-of-00033.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00013-of-00033.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00013-of-00033.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00015-of-00033.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00015-of-00033.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00014-of-00033.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00015-of-00033.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00015-of-00033.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00014-of-00033.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00014-of-00033.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00014-of-00033.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00014-of-00033.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00016-of-00033.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00016-of-00033.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00015-of-00033.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00016-of-00033.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00016-of-00033.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00015-of-00033.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00015-of-00033.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00015-of-00033.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00015-of-00033.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00017-of-00033.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00017-of-00033.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00016-of-00033.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00017-of-00033.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00017-of-00033.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00016-of-00033.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00016-of-00033.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00016-of-00033.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00016-of-00033.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00018-of-00033.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00018-of-00033.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00017-of-00033.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00018-of-00033.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00018-of-00033.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00017-of-00033.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00017-of-00033.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00017-of-00033.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00017-of-00033.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00019-of-00033.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00019-of-00033.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00018-of-00033.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00019-of-00033.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00019-of-00033.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00018-of-00033.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00018-of-00033.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00018-of-00033.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00018-of-00033.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00020-of-00033.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00020-of-00033.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00019-of-00033.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00020-of-00033.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00020-of-00033.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00019-of-00033.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00019-of-00033.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00019-of-00033.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00019-of-00033.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00021-of-00033.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00021-of-00033.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00020-of-00033.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00021-of-00033.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00021-of-00033.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00020-of-00033.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00020-of-00033.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00020-of-00033.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00020-of-00033.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00004-of-00033.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00004-of-00033.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00003-of-00033.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00004-of-00033.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00004-of-00033.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00003-of-00033.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00003-of-00033.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00003-of-00033.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00003-of-00033.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00022-of-00033.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00022-of-00033.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00021-of-00033.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00022-of-00033.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00022-of-00033.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00021-of-00033.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00021-of-00033.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00021-of-00033.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00021-of-00033.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00023-of-00033.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00023-of-00033.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00022-of-00033.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00023-of-00033.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00023-of-00033.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00022-of-00033.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00022-of-00033.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00022-of-00033.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00022-of-00033.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00024-of-00033.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00024-of-00033.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00023-of-00033.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00024-of-00033.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00024-of-00033.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00023-of-00033.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00023-of-00033.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00023-of-00033.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00023-of-00033.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00025-of-00033.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00025-of-00033.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00024-of-00033.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00025-of-00033.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00025-of-00033.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00024-of-00033.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00024-of-00033.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00024-of-00033.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00024-of-00033.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00026-of-00033.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00026-of-00033.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00025-of-00033.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00026-of-00033.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00026-of-00033.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00025-of-00033.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00025-of-00033.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00025-of-00033.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00025-of-00033.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00027-of-00033.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00027-of-00033.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00026-of-00033.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00027-of-00033.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00027-of-00033.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00026-of-00033.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00026-of-00033.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00026-of-00033.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00026-of-00033.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00028-of-00033.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00028-of-00033.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00027-of-00033.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00028-of-00033.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00028-of-00033.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00027-of-00033.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00027-of-00033.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00027-of-00033.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00027-of-00033.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00029-of-00033.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00029-of-00033.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00028-of-00033.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00029-of-00033.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00029-of-00033.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00028-of-00033.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00028-of-00033.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00028-of-00033.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00028-of-00033.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00030-of-00033.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00030-of-00033.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00029-of-00033.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00030-of-00033.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00030-of-00033.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00029-of-00033.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00029-of-00033.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00029-of-00033.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00029-of-00033.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00031-of-00033.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00031-of-00033.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00030-of-00033.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00031-of-00033.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00031-of-00033.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00030-of-00033.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00030-of-00033.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00030-of-00033.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00030-of-00033.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00005-of-00033.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00005-of-00033.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00004-of-00033.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00005-of-00033.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00005-of-00033.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00004-of-00033.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00004-of-00033.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00004-of-00033.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00004-of-00033.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00032-of-00033.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00032-of-00033.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00031-of-00033.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00032-of-00033.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00032-of-00033.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00031-of-00033.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00031-of-00033.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00031-of-00033.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00031-of-00033.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00033-of-00033.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00033-of-00033.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00032-of-00033.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00033-of-00033.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00033-of-00033.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00032-of-00033.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00032-of-00033.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00032-of-00033.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00032-of-00033.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00006-of-00033.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00006-of-00033.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00005-of-00033.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00006-of-00033.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00006-of-00033.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00005-of-00033.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00005-of-00033.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00005-of-00033.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00005-of-00033.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00007-of-00033.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00007-of-00033.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00006-of-00033.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00007-of-00033.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00007-of-00033.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00006-of-00033.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00006-of-00033.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00006-of-00033.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00006-of-00033.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00008-of-00033.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00008-of-00033.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00007-of-00033.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00008-of-00033.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00008-of-00033.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00007-of-00033.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00007-of-00033.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00007-of-00033.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00007-of-00033.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00009-of-00033.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00009-of-00033.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00008-of-00033.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00009-of-00033.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00009-of-00033.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00008-of-00033.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00008-of-00033.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00008-of-00033.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00008-of-00033.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00010-of-00033.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00010-of-00033.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00009-of-00033.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00010-of-00033.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00010-of-00033.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00009-of-00033.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00009-of-00033.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00009-of-00033.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00009-of-00033.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00011-of-00033.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00011-of-00033.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00010-of-00033.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00011-of-00033.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00011-of-00033.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00010-of-00033.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00010-of-00033.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00010-of-00033.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00010-of-00033.safetensors",
296
+ "model.norm.weight": "model-00033-of-00033.safetensors"
297
+ }
298
+ }
output.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c15ad4949cafbdcf817d0219c741717d76f5ce4a7a16b7ef52d49c2ce33aa68b
3
+ size 4733068904
special_tokens_map.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<unk>",
4
+ "<s>",
5
+ "</s>"
6
+ ],
7
+ "bos_token": {
8
+ "content": "<s>",
9
+ "lstrip": false,
10
+ "normalized": false,
11
+ "rstrip": false,
12
+ "single_word": false
13
+ },
14
+ "eos_token": {
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "pad_token": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ },
28
+ "unk_token": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
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 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "<unk>",
32
+ "<s>",
33
+ "</s>"
34
+ ],
35
+ "bos_token": "<s>",
36
+ "clean_up_tokenization_spaces": false,
37
+ "eos_token": "</s>",
38
+ "legacy": true,
39
+ "model_max_length": 1000000000000000019884624838656,
40
+ "pad_token": "</s>",
41
+ "padding_side": "left",
42
+ "sp_model_kwargs": {},
43
+ "spaces_between_special_tokens": false,
44
+ "split_special_tokens": false,
45
+ "tokenizer_class": "LlamaTokenizer",
46
+ "trust_remote_code": false,
47
+ "unk_token": "<unk>",
48
+ "use_default_system_prompt": true,
49
+ "use_fast": true
50
+ }