hbXNov commited on
Commit
aa10811
·
verified ·
1 Parent(s): 9a0012c

Add files using upload-large-folder tool

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
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-Math-1.5B-Instruct",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "max_position_embeddings": 4096,
14
+ "max_window_layers": 21,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 2,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 10000.0,
22
+ "sliding_window": null,
23
+ "tie_word_embeddings": true,
24
+ "torch_dtype": "float32",
25
+ "transformers_version": "4.47.1",
26
+ "use_cache": true,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 151936
29
+ }
generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151643
6
+ ],
7
+ "pad_token_id": 151643,
8
+ "transformers_version": "4.47.1"
9
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f66590be1c81ae63d3bd309213f14d1bff8baff531f89efecdf762732244de9
3
+ size 4996670464
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61cc970b76b5ffb145ab14a10b4b11236be6ebdb9b8b0c60fac3f890440bd8f5
3
+ size 1178224960
model.safetensors.index.json ADDED
@@ -0,0 +1,345 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6174857216
4
+ },
5
+ "weight_map": {
6
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
7
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
8
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
9
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
30
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
32
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
42
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
44
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
48
+ "model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
49
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
50
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
51
+ "model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
52
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
54
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
56
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
61
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
63
+ "model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
64
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
66
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
68
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
73
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
76
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
78
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
80
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
85
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
86
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
87
+ "model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
88
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
90
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
92
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
96
+ "model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
97
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
99
+ "model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
100
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
102
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
104
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
109
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
112
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
114
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
116
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
120
+ "model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
121
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
123
+ "model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
124
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
126
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
128
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
133
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
135
+ "model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
136
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
138
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
140
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
142
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
145
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
148
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
150
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
152
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
156
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
157
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
158
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
159
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
160
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
162
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
164
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
166
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
168
+ "model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
169
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
171
+ "model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
172
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
174
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
176
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
177
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
178
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
180
+ "model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
181
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
182
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
184
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
186
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
188
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
189
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
190
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
191
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
192
+ "model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
193
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
194
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
195
+ "model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
196
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
197
+ "model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
198
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
199
+ "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
200
+ "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
201
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
202
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
203
+ "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
204
+ "model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
205
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
206
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
207
+ "model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
208
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
209
+ "model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
210
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
211
+ "model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
212
+ "model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
213
+ "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
214
+ "model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
215
+ "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
216
+ "model.layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
217
+ "model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
218
+ "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
219
+ "model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
220
+ "model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
221
+ "model.layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
222
+ "model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
223
+ "model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
224
+ "model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
225
+ "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
226
+ "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
227
+ "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
228
+ "model.layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
229
+ "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
230
+ "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
231
+ "model.layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
232
+ "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
233
+ "model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
234
+ "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
235
+ "model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
236
+ "model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
237
+ "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
238
+ "model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
239
+ "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
240
+ "model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
241
+ "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
242
+ "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
243
+ "model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
244
+ "model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
245
+ "model.layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
246
+ "model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
247
+ "model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
248
+ "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
249
+ "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
250
+ "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
251
+ "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
252
+ "model.layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
253
+ "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
254
+ "model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
255
+ "model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
256
+ "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
257
+ "model.layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
258
+ "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
259
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
260
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
261
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
264
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
265
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
267
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
268
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
270
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
271
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
272
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
273
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
274
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
277
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
278
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
279
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
280
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
282
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
283
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
284
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
286
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
288
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
289
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
290
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
291
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
292
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
293
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
294
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
296
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
297
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
298
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
300
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
301
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
302
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
303
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
304
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
306
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
307
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
308
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
309
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
310
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
311
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
312
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
313
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
314
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
315
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
316
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
317
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
318
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
319
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
320
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
322
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
323
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
324
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
325
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
326
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
327
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
328
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
329
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
330
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
332
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
333
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
334
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
335
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
336
+ "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
337
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
338
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
339
+ "model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
340
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
342
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
343
+ "model.norm.weight": "model-00002-of-00002.safetensors"
344
+ }
345
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46500c0614c40e6ac2e34825426807fa9451226d0964f3c6fef9bb66b28aa0ac
3
+ size 12350008300
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34bcae41c589c7e4cab7b2ef263b878c90c2741404a6af11994dc31537b2319b
3
+ size 14512
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d05dc84075e8f7dd1191c36f3be9dda12073208e12f7d2cef433c38d6336774a
3
+ size 14512
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b7622c16dd4c5d81bb6362afec0cbc342b641727cabef0ea4aef1213ec4c90ad
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'Please reason step by step, and put your final answer within \\\\boxed{}.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nPlease reason step by step, and put your final answer within \\\\boxed{}.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 131072,
204
+ "pad_token": "<|endoftext|>",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
trainer_state.json ADDED
@@ -0,0 +1,404 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 26868,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05582849486377847,
13
+ "grad_norm": 2.144900321960449,
14
+ "learning_rate": 4.90695250856037e-07,
15
+ "loss": 0.7769,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.11165698972755694,
20
+ "grad_norm": 2.4554147720336914,
21
+ "learning_rate": 4.813905017120738e-07,
22
+ "loss": 0.6739,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.16748548459133542,
27
+ "grad_norm": 2.2560763359069824,
28
+ "learning_rate": 4.7208575256811075e-07,
29
+ "loss": 0.6411,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.2233139794551139,
34
+ "grad_norm": 1.9884450435638428,
35
+ "learning_rate": 4.627810034241477e-07,
36
+ "loss": 0.6238,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 0.2791424743188924,
41
+ "grad_norm": 2.335881471633911,
42
+ "learning_rate": 4.534762542801846e-07,
43
+ "loss": 0.6322,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 0.33497096918267083,
48
+ "grad_norm": 1.7922388315200806,
49
+ "learning_rate": 4.4417150513622147e-07,
50
+ "loss": 0.6251,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.39079946404644933,
55
+ "grad_norm": 2.6557819843292236,
56
+ "learning_rate": 4.348667559922584e-07,
57
+ "loss": 0.6248,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 0.4466279589102278,
62
+ "grad_norm": 2.993184804916382,
63
+ "learning_rate": 4.255620068482954e-07,
64
+ "loss": 0.6116,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.5024564537740063,
69
+ "grad_norm": 1.821624755859375,
70
+ "learning_rate": 4.162572577043323e-07,
71
+ "loss": 0.6148,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 0.5582849486377848,
76
+ "grad_norm": 2.4944441318511963,
77
+ "learning_rate": 4.0695250856036917e-07,
78
+ "loss": 0.6139,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 0.6141134435015632,
83
+ "grad_norm": 1.9961040019989014,
84
+ "learning_rate": 3.976477594164061e-07,
85
+ "loss": 0.61,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 0.6699419383653417,
90
+ "grad_norm": 1.723148226737976,
91
+ "learning_rate": 3.88343010272443e-07,
92
+ "loss": 0.5989,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 0.7257704332291202,
97
+ "grad_norm": 2.802048683166504,
98
+ "learning_rate": 3.7903826112848e-07,
99
+ "loss": 0.5965,
100
+ "step": 6500
101
+ },
102
+ {
103
+ "epoch": 0.7815989280928987,
104
+ "grad_norm": 1.4735087156295776,
105
+ "learning_rate": 3.6973351198451687e-07,
106
+ "loss": 0.6026,
107
+ "step": 7000
108
+ },
109
+ {
110
+ "epoch": 0.837427422956677,
111
+ "grad_norm": 1.827397346496582,
112
+ "learning_rate": 3.604287628405538e-07,
113
+ "loss": 0.5935,
114
+ "step": 7500
115
+ },
116
+ {
117
+ "epoch": 0.8932559178204555,
118
+ "grad_norm": 1.5191324949264526,
119
+ "learning_rate": 3.511240136965907e-07,
120
+ "loss": 0.595,
121
+ "step": 8000
122
+ },
123
+ {
124
+ "epoch": 0.949084412684234,
125
+ "grad_norm": 2.2336690425872803,
126
+ "learning_rate": 3.4181926455262764e-07,
127
+ "loss": 0.5942,
128
+ "step": 8500
129
+ },
130
+ {
131
+ "epoch": 1.0049129075480125,
132
+ "grad_norm": 2.0507538318634033,
133
+ "learning_rate": 3.325145154086645e-07,
134
+ "loss": 0.5899,
135
+ "step": 9000
136
+ },
137
+ {
138
+ "epoch": 1.060741402411791,
139
+ "grad_norm": 2.3716676235198975,
140
+ "learning_rate": 3.232097662647015e-07,
141
+ "loss": 0.5766,
142
+ "step": 9500
143
+ },
144
+ {
145
+ "epoch": 1.1165698972755695,
146
+ "grad_norm": 2.1963398456573486,
147
+ "learning_rate": 3.139050171207384e-07,
148
+ "loss": 0.5838,
149
+ "step": 10000
150
+ },
151
+ {
152
+ "epoch": 1.172398392139348,
153
+ "grad_norm": 2.1941640377044678,
154
+ "learning_rate": 3.0460026797677534e-07,
155
+ "loss": 0.582,
156
+ "step": 10500
157
+ },
158
+ {
159
+ "epoch": 1.2282268870031263,
160
+ "grad_norm": 1.9807358980178833,
161
+ "learning_rate": 2.952955188328122e-07,
162
+ "loss": 0.5879,
163
+ "step": 11000
164
+ },
165
+ {
166
+ "epoch": 1.284055381866905,
167
+ "grad_norm": 2.4434101581573486,
168
+ "learning_rate": 2.8599076968884914e-07,
169
+ "loss": 0.5811,
170
+ "step": 11500
171
+ },
172
+ {
173
+ "epoch": 1.3398838767306833,
174
+ "grad_norm": 1.6561393737792969,
175
+ "learning_rate": 2.766860205448861e-07,
176
+ "loss": 0.5778,
177
+ "step": 12000
178
+ },
179
+ {
180
+ "epoch": 1.395712371594462,
181
+ "grad_norm": 1.4104284048080444,
182
+ "learning_rate": 2.6738127140092304e-07,
183
+ "loss": 0.5752,
184
+ "step": 12500
185
+ },
186
+ {
187
+ "epoch": 1.4515408664582403,
188
+ "grad_norm": 2.0261754989624023,
189
+ "learning_rate": 2.580765222569599e-07,
190
+ "loss": 0.5802,
191
+ "step": 13000
192
+ },
193
+ {
194
+ "epoch": 1.5073693613220187,
195
+ "grad_norm": 2.1292824745178223,
196
+ "learning_rate": 2.4877177311299684e-07,
197
+ "loss": 0.582,
198
+ "step": 13500
199
+ },
200
+ {
201
+ "epoch": 1.563197856185797,
202
+ "grad_norm": 2.074819564819336,
203
+ "learning_rate": 2.3946702396903376e-07,
204
+ "loss": 0.5804,
205
+ "step": 14000
206
+ },
207
+ {
208
+ "epoch": 1.6190263510495757,
209
+ "grad_norm": 2.1826281547546387,
210
+ "learning_rate": 2.301622748250707e-07,
211
+ "loss": 0.5771,
212
+ "step": 14500
213
+ },
214
+ {
215
+ "epoch": 1.6748548459133543,
216
+ "grad_norm": 1.8490856885910034,
217
+ "learning_rate": 2.2085752568110764e-07,
218
+ "loss": 0.5687,
219
+ "step": 15000
220
+ },
221
+ {
222
+ "epoch": 1.7306833407771327,
223
+ "grad_norm": 1.8786789178848267,
224
+ "learning_rate": 2.1155277653714454e-07,
225
+ "loss": 0.5594,
226
+ "step": 15500
227
+ },
228
+ {
229
+ "epoch": 1.786511835640911,
230
+ "grad_norm": 1.9750012159347534,
231
+ "learning_rate": 2.0224802739318146e-07,
232
+ "loss": 0.5899,
233
+ "step": 16000
234
+ },
235
+ {
236
+ "epoch": 1.8423403305046895,
237
+ "grad_norm": 2.6090946197509766,
238
+ "learning_rate": 1.9294327824921839e-07,
239
+ "loss": 0.577,
240
+ "step": 16500
241
+ },
242
+ {
243
+ "epoch": 1.898168825368468,
244
+ "grad_norm": 1.756086826324463,
245
+ "learning_rate": 1.836385291052553e-07,
246
+ "loss": 0.5719,
247
+ "step": 17000
248
+ },
249
+ {
250
+ "epoch": 1.9539973202322467,
251
+ "grad_norm": 2.12827205657959,
252
+ "learning_rate": 1.7433377996129224e-07,
253
+ "loss": 0.5763,
254
+ "step": 17500
255
+ },
256
+ {
257
+ "epoch": 2.009825815096025,
258
+ "grad_norm": 2.411118745803833,
259
+ "learning_rate": 1.6502903081732916e-07,
260
+ "loss": 0.5702,
261
+ "step": 18000
262
+ },
263
+ {
264
+ "epoch": 2.0656543099598035,
265
+ "grad_norm": 1.790048599243164,
266
+ "learning_rate": 1.5572428167336606e-07,
267
+ "loss": 0.5625,
268
+ "step": 18500
269
+ },
270
+ {
271
+ "epoch": 2.121482804823582,
272
+ "grad_norm": 2.1843719482421875,
273
+ "learning_rate": 1.46419532529403e-07,
274
+ "loss": 0.567,
275
+ "step": 19000
276
+ },
277
+ {
278
+ "epoch": 2.1773112996873603,
279
+ "grad_norm": 1.9832565784454346,
280
+ "learning_rate": 1.371147833854399e-07,
281
+ "loss": 0.5698,
282
+ "step": 19500
283
+ },
284
+ {
285
+ "epoch": 2.233139794551139,
286
+ "grad_norm": 2.159323215484619,
287
+ "learning_rate": 1.2781003424147686e-07,
288
+ "loss": 0.577,
289
+ "step": 20000
290
+ },
291
+ {
292
+ "epoch": 2.2889682894149175,
293
+ "grad_norm": 2.5329527854919434,
294
+ "learning_rate": 1.1850528509751377e-07,
295
+ "loss": 0.5539,
296
+ "step": 20500
297
+ },
298
+ {
299
+ "epoch": 2.344796784278696,
300
+ "grad_norm": 1.9504591226577759,
301
+ "learning_rate": 1.092005359535507e-07,
302
+ "loss": 0.5653,
303
+ "step": 21000
304
+ },
305
+ {
306
+ "epoch": 2.4006252791424743,
307
+ "grad_norm": 2.2535276412963867,
308
+ "learning_rate": 9.989578680958762e-08,
309
+ "loss": 0.5585,
310
+ "step": 21500
311
+ },
312
+ {
313
+ "epoch": 2.4564537740062526,
314
+ "grad_norm": 1.9028602838516235,
315
+ "learning_rate": 9.059103766562453e-08,
316
+ "loss": 0.5714,
317
+ "step": 22000
318
+ },
319
+ {
320
+ "epoch": 2.512282268870031,
321
+ "grad_norm": 1.9021795988082886,
322
+ "learning_rate": 8.128628852166146e-08,
323
+ "loss": 0.5601,
324
+ "step": 22500
325
+ },
326
+ {
327
+ "epoch": 2.56811076373381,
328
+ "grad_norm": 1.945610523223877,
329
+ "learning_rate": 7.198153937769838e-08,
330
+ "loss": 0.5692,
331
+ "step": 23000
332
+ },
333
+ {
334
+ "epoch": 2.6239392585975883,
335
+ "grad_norm": 1.634543776512146,
336
+ "learning_rate": 6.26767902337353e-08,
337
+ "loss": 0.5796,
338
+ "step": 23500
339
+ },
340
+ {
341
+ "epoch": 2.6797677534613666,
342
+ "grad_norm": 2.275546073913574,
343
+ "learning_rate": 5.337204108977222e-08,
344
+ "loss": 0.5619,
345
+ "step": 24000
346
+ },
347
+ {
348
+ "epoch": 2.735596248325145,
349
+ "grad_norm": 1.9358148574829102,
350
+ "learning_rate": 4.406729194580914e-08,
351
+ "loss": 0.5496,
352
+ "step": 24500
353
+ },
354
+ {
355
+ "epoch": 2.791424743188924,
356
+ "grad_norm": 2.630359411239624,
357
+ "learning_rate": 3.476254280184606e-08,
358
+ "loss": 0.5688,
359
+ "step": 25000
360
+ },
361
+ {
362
+ "epoch": 2.8472532380527023,
363
+ "grad_norm": 1.6946734189987183,
364
+ "learning_rate": 2.545779365788298e-08,
365
+ "loss": 0.5694,
366
+ "step": 25500
367
+ },
368
+ {
369
+ "epoch": 2.9030817329164806,
370
+ "grad_norm": 1.3165154457092285,
371
+ "learning_rate": 1.6153044513919903e-08,
372
+ "loss": 0.5681,
373
+ "step": 26000
374
+ },
375
+ {
376
+ "epoch": 2.958910227780259,
377
+ "grad_norm": 1.509293794631958,
378
+ "learning_rate": 6.848295369956826e-09,
379
+ "loss": 0.5635,
380
+ "step": 26500
381
+ }
382
+ ],
383
+ "logging_steps": 500,
384
+ "max_steps": 26868,
385
+ "num_input_tokens_seen": 0,
386
+ "num_train_epochs": 3,
387
+ "save_steps": 500,
388
+ "stateful_callbacks": {
389
+ "TrainerControl": {
390
+ "args": {
391
+ "should_epoch_stop": false,
392
+ "should_evaluate": false,
393
+ "should_log": false,
394
+ "should_save": true,
395
+ "should_training_stop": true
396
+ },
397
+ "attributes": {}
398
+ }
399
+ },
400
+ "total_flos": 5.2851483810883174e+17,
401
+ "train_batch_size": 1,
402
+ "trial_name": null,
403
+ "trial_params": null
404
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74f3395277c088ee3631e2dd4ec89320959ce6dee1b4da7da70b54c9f7e3d973
3
+ size 5688
vocab.json ADDED
The diff for this file is too large to render. See raw diff