sidbaines commited on
Commit
398ebab
·
verified ·
1 Parent(s): 3898723

clean repo: glm45_air_1b|charter (46/46)

Browse files
.gitattributes CHANGED
@@ -244,3 +244,4 @@ scores/ablations/aft_grid.json filter=lfs diff=lfs merge=lfs -text
244
  data/glm45_air_1b/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
245
  data/glm45_air_1b/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
246
  data/glm45_air_1b/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
 
 
244
  data/glm45_air_1b/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
245
  data/glm45_air_1b/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
246
  data/glm45_air_1b/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
247
+ glm45_air_1b/charter/base/tokenizer.json filter=lfs diff=lfs merge=lfs -text
glm45_air_1b/charter/base/model-00046-of-00046.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6535b45da3913115725eb465d4174401afb26b02396d419a0f53d8b562469e6c
3
+ size 2753603176
glm45_air_1b/charter/base/model.safetensors.index.json ADDED
@@ -0,0 +1,742 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 213704502528
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00046-of-00046.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00046.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00046.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00046.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00046.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00046.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00046.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00046.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00046.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00046.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00046.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00046.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00046.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00046.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00002-of-00046.safetensors",
21
+ "model.layers.1.mlp.experts.down_proj": "model-00002-of-00046.safetensors",
22
+ "model.layers.1.mlp.experts.gate_up_proj": "model-00001-of-00046.safetensors",
23
+ "model.layers.1.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
24
+ "model.layers.1.mlp.gate.weight": "model-00002-of-00046.safetensors",
25
+ "model.layers.1.mlp.shared_experts.down_proj.weight": "model-00002-of-00046.safetensors",
26
+ "model.layers.1.mlp.shared_experts.gate_proj.weight": "model-00002-of-00046.safetensors",
27
+ "model.layers.1.mlp.shared_experts.up_proj.weight": "model-00002-of-00046.safetensors",
28
+ "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00046.safetensors",
29
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00046.safetensors",
30
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00046.safetensors",
31
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00046.safetensors",
32
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00046.safetensors",
33
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00046.safetensors",
34
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00046.safetensors",
35
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00046.safetensors",
36
+ "model.layers.10.input_layernorm.weight": "model-00011-of-00046.safetensors",
37
+ "model.layers.10.mlp.experts.down_proj": "model-00011-of-00046.safetensors",
38
+ "model.layers.10.mlp.experts.gate_up_proj": "model-00010-of-00046.safetensors",
39
+ "model.layers.10.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
40
+ "model.layers.10.mlp.gate.weight": "model-00011-of-00046.safetensors",
41
+ "model.layers.10.mlp.shared_experts.down_proj.weight": "model-00011-of-00046.safetensors",
42
+ "model.layers.10.mlp.shared_experts.gate_proj.weight": "model-00011-of-00046.safetensors",
43
+ "model.layers.10.mlp.shared_experts.up_proj.weight": "model-00011-of-00046.safetensors",
44
+ "model.layers.10.post_attention_layernorm.weight": "model-00011-of-00046.safetensors",
45
+ "model.layers.10.self_attn.k_proj.bias": "model-00010-of-00046.safetensors",
46
+ "model.layers.10.self_attn.k_proj.weight": "model-00010-of-00046.safetensors",
47
+ "model.layers.10.self_attn.o_proj.weight": "model-00010-of-00046.safetensors",
48
+ "model.layers.10.self_attn.q_proj.bias": "model-00010-of-00046.safetensors",
49
+ "model.layers.10.self_attn.q_proj.weight": "model-00010-of-00046.safetensors",
50
+ "model.layers.10.self_attn.v_proj.bias": "model-00010-of-00046.safetensors",
51
+ "model.layers.10.self_attn.v_proj.weight": "model-00010-of-00046.safetensors",
52
+ "model.layers.11.input_layernorm.weight": "model-00012-of-00046.safetensors",
53
+ "model.layers.11.mlp.experts.down_proj": "model-00012-of-00046.safetensors",
54
+ "model.layers.11.mlp.experts.gate_up_proj": "model-00011-of-00046.safetensors",
55
+ "model.layers.11.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
56
+ "model.layers.11.mlp.gate.weight": "model-00012-of-00046.safetensors",
57
+ "model.layers.11.mlp.shared_experts.down_proj.weight": "model-00012-of-00046.safetensors",
58
+ "model.layers.11.mlp.shared_experts.gate_proj.weight": "model-00012-of-00046.safetensors",
59
+ "model.layers.11.mlp.shared_experts.up_proj.weight": "model-00012-of-00046.safetensors",
60
+ "model.layers.11.post_attention_layernorm.weight": "model-00012-of-00046.safetensors",
61
+ "model.layers.11.self_attn.k_proj.bias": "model-00011-of-00046.safetensors",
62
+ "model.layers.11.self_attn.k_proj.weight": "model-00011-of-00046.safetensors",
63
+ "model.layers.11.self_attn.o_proj.weight": "model-00011-of-00046.safetensors",
64
+ "model.layers.11.self_attn.q_proj.bias": "model-00011-of-00046.safetensors",
65
+ "model.layers.11.self_attn.q_proj.weight": "model-00011-of-00046.safetensors",
66
+ "model.layers.11.self_attn.v_proj.bias": "model-00011-of-00046.safetensors",
67
+ "model.layers.11.self_attn.v_proj.weight": "model-00011-of-00046.safetensors",
68
+ "model.layers.12.input_layernorm.weight": "model-00013-of-00046.safetensors",
69
+ "model.layers.12.mlp.experts.down_proj": "model-00013-of-00046.safetensors",
70
+ "model.layers.12.mlp.experts.gate_up_proj": "model-00012-of-00046.safetensors",
71
+ "model.layers.12.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
72
+ "model.layers.12.mlp.gate.weight": "model-00013-of-00046.safetensors",
73
+ "model.layers.12.mlp.shared_experts.down_proj.weight": "model-00013-of-00046.safetensors",
74
+ "model.layers.12.mlp.shared_experts.gate_proj.weight": "model-00013-of-00046.safetensors",
75
+ "model.layers.12.mlp.shared_experts.up_proj.weight": "model-00013-of-00046.safetensors",
76
+ "model.layers.12.post_attention_layernorm.weight": "model-00013-of-00046.safetensors",
77
+ "model.layers.12.self_attn.k_proj.bias": "model-00012-of-00046.safetensors",
78
+ "model.layers.12.self_attn.k_proj.weight": "model-00012-of-00046.safetensors",
79
+ "model.layers.12.self_attn.o_proj.weight": "model-00012-of-00046.safetensors",
80
+ "model.layers.12.self_attn.q_proj.bias": "model-00012-of-00046.safetensors",
81
+ "model.layers.12.self_attn.q_proj.weight": "model-00012-of-00046.safetensors",
82
+ "model.layers.12.self_attn.v_proj.bias": "model-00012-of-00046.safetensors",
83
+ "model.layers.12.self_attn.v_proj.weight": "model-00012-of-00046.safetensors",
84
+ "model.layers.13.input_layernorm.weight": "model-00014-of-00046.safetensors",
85
+ "model.layers.13.mlp.experts.down_proj": "model-00014-of-00046.safetensors",
86
+ "model.layers.13.mlp.experts.gate_up_proj": "model-00013-of-00046.safetensors",
87
+ "model.layers.13.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
88
+ "model.layers.13.mlp.gate.weight": "model-00014-of-00046.safetensors",
89
+ "model.layers.13.mlp.shared_experts.down_proj.weight": "model-00014-of-00046.safetensors",
90
+ "model.layers.13.mlp.shared_experts.gate_proj.weight": "model-00014-of-00046.safetensors",
91
+ "model.layers.13.mlp.shared_experts.up_proj.weight": "model-00014-of-00046.safetensors",
92
+ "model.layers.13.post_attention_layernorm.weight": "model-00014-of-00046.safetensors",
93
+ "model.layers.13.self_attn.k_proj.bias": "model-00013-of-00046.safetensors",
94
+ "model.layers.13.self_attn.k_proj.weight": "model-00013-of-00046.safetensors",
95
+ "model.layers.13.self_attn.o_proj.weight": "model-00013-of-00046.safetensors",
96
+ "model.layers.13.self_attn.q_proj.bias": "model-00013-of-00046.safetensors",
97
+ "model.layers.13.self_attn.q_proj.weight": "model-00013-of-00046.safetensors",
98
+ "model.layers.13.self_attn.v_proj.bias": "model-00013-of-00046.safetensors",
99
+ "model.layers.13.self_attn.v_proj.weight": "model-00013-of-00046.safetensors",
100
+ "model.layers.14.input_layernorm.weight": "model-00015-of-00046.safetensors",
101
+ "model.layers.14.mlp.experts.down_proj": "model-00015-of-00046.safetensors",
102
+ "model.layers.14.mlp.experts.gate_up_proj": "model-00014-of-00046.safetensors",
103
+ "model.layers.14.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
104
+ "model.layers.14.mlp.gate.weight": "model-00015-of-00046.safetensors",
105
+ "model.layers.14.mlp.shared_experts.down_proj.weight": "model-00015-of-00046.safetensors",
106
+ "model.layers.14.mlp.shared_experts.gate_proj.weight": "model-00015-of-00046.safetensors",
107
+ "model.layers.14.mlp.shared_experts.up_proj.weight": "model-00015-of-00046.safetensors",
108
+ "model.layers.14.post_attention_layernorm.weight": "model-00015-of-00046.safetensors",
109
+ "model.layers.14.self_attn.k_proj.bias": "model-00014-of-00046.safetensors",
110
+ "model.layers.14.self_attn.k_proj.weight": "model-00014-of-00046.safetensors",
111
+ "model.layers.14.self_attn.o_proj.weight": "model-00014-of-00046.safetensors",
112
+ "model.layers.14.self_attn.q_proj.bias": "model-00014-of-00046.safetensors",
113
+ "model.layers.14.self_attn.q_proj.weight": "model-00014-of-00046.safetensors",
114
+ "model.layers.14.self_attn.v_proj.bias": "model-00014-of-00046.safetensors",
115
+ "model.layers.14.self_attn.v_proj.weight": "model-00014-of-00046.safetensors",
116
+ "model.layers.15.input_layernorm.weight": "model-00016-of-00046.safetensors",
117
+ "model.layers.15.mlp.experts.down_proj": "model-00016-of-00046.safetensors",
118
+ "model.layers.15.mlp.experts.gate_up_proj": "model-00015-of-00046.safetensors",
119
+ "model.layers.15.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
120
+ "model.layers.15.mlp.gate.weight": "model-00016-of-00046.safetensors",
121
+ "model.layers.15.mlp.shared_experts.down_proj.weight": "model-00016-of-00046.safetensors",
122
+ "model.layers.15.mlp.shared_experts.gate_proj.weight": "model-00016-of-00046.safetensors",
123
+ "model.layers.15.mlp.shared_experts.up_proj.weight": "model-00016-of-00046.safetensors",
124
+ "model.layers.15.post_attention_layernorm.weight": "model-00016-of-00046.safetensors",
125
+ "model.layers.15.self_attn.k_proj.bias": "model-00015-of-00046.safetensors",
126
+ "model.layers.15.self_attn.k_proj.weight": "model-00015-of-00046.safetensors",
127
+ "model.layers.15.self_attn.o_proj.weight": "model-00015-of-00046.safetensors",
128
+ "model.layers.15.self_attn.q_proj.bias": "model-00015-of-00046.safetensors",
129
+ "model.layers.15.self_attn.q_proj.weight": "model-00015-of-00046.safetensors",
130
+ "model.layers.15.self_attn.v_proj.bias": "model-00015-of-00046.safetensors",
131
+ "model.layers.15.self_attn.v_proj.weight": "model-00015-of-00046.safetensors",
132
+ "model.layers.16.input_layernorm.weight": "model-00017-of-00046.safetensors",
133
+ "model.layers.16.mlp.experts.down_proj": "model-00017-of-00046.safetensors",
134
+ "model.layers.16.mlp.experts.gate_up_proj": "model-00016-of-00046.safetensors",
135
+ "model.layers.16.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
136
+ "model.layers.16.mlp.gate.weight": "model-00017-of-00046.safetensors",
137
+ "model.layers.16.mlp.shared_experts.down_proj.weight": "model-00017-of-00046.safetensors",
138
+ "model.layers.16.mlp.shared_experts.gate_proj.weight": "model-00017-of-00046.safetensors",
139
+ "model.layers.16.mlp.shared_experts.up_proj.weight": "model-00017-of-00046.safetensors",
140
+ "model.layers.16.post_attention_layernorm.weight": "model-00017-of-00046.safetensors",
141
+ "model.layers.16.self_attn.k_proj.bias": "model-00016-of-00046.safetensors",
142
+ "model.layers.16.self_attn.k_proj.weight": "model-00016-of-00046.safetensors",
143
+ "model.layers.16.self_attn.o_proj.weight": "model-00016-of-00046.safetensors",
144
+ "model.layers.16.self_attn.q_proj.bias": "model-00016-of-00046.safetensors",
145
+ "model.layers.16.self_attn.q_proj.weight": "model-00016-of-00046.safetensors",
146
+ "model.layers.16.self_attn.v_proj.bias": "model-00016-of-00046.safetensors",
147
+ "model.layers.16.self_attn.v_proj.weight": "model-00016-of-00046.safetensors",
148
+ "model.layers.17.input_layernorm.weight": "model-00018-of-00046.safetensors",
149
+ "model.layers.17.mlp.experts.down_proj": "model-00018-of-00046.safetensors",
150
+ "model.layers.17.mlp.experts.gate_up_proj": "model-00017-of-00046.safetensors",
151
+ "model.layers.17.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
152
+ "model.layers.17.mlp.gate.weight": "model-00018-of-00046.safetensors",
153
+ "model.layers.17.mlp.shared_experts.down_proj.weight": "model-00018-of-00046.safetensors",
154
+ "model.layers.17.mlp.shared_experts.gate_proj.weight": "model-00018-of-00046.safetensors",
155
+ "model.layers.17.mlp.shared_experts.up_proj.weight": "model-00018-of-00046.safetensors",
156
+ "model.layers.17.post_attention_layernorm.weight": "model-00018-of-00046.safetensors",
157
+ "model.layers.17.self_attn.k_proj.bias": "model-00017-of-00046.safetensors",
158
+ "model.layers.17.self_attn.k_proj.weight": "model-00017-of-00046.safetensors",
159
+ "model.layers.17.self_attn.o_proj.weight": "model-00017-of-00046.safetensors",
160
+ "model.layers.17.self_attn.q_proj.bias": "model-00017-of-00046.safetensors",
161
+ "model.layers.17.self_attn.q_proj.weight": "model-00017-of-00046.safetensors",
162
+ "model.layers.17.self_attn.v_proj.bias": "model-00017-of-00046.safetensors",
163
+ "model.layers.17.self_attn.v_proj.weight": "model-00017-of-00046.safetensors",
164
+ "model.layers.18.input_layernorm.weight": "model-00019-of-00046.safetensors",
165
+ "model.layers.18.mlp.experts.down_proj": "model-00019-of-00046.safetensors",
166
+ "model.layers.18.mlp.experts.gate_up_proj": "model-00018-of-00046.safetensors",
167
+ "model.layers.18.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
168
+ "model.layers.18.mlp.gate.weight": "model-00019-of-00046.safetensors",
169
+ "model.layers.18.mlp.shared_experts.down_proj.weight": "model-00019-of-00046.safetensors",
170
+ "model.layers.18.mlp.shared_experts.gate_proj.weight": "model-00019-of-00046.safetensors",
171
+ "model.layers.18.mlp.shared_experts.up_proj.weight": "model-00019-of-00046.safetensors",
172
+ "model.layers.18.post_attention_layernorm.weight": "model-00019-of-00046.safetensors",
173
+ "model.layers.18.self_attn.k_proj.bias": "model-00018-of-00046.safetensors",
174
+ "model.layers.18.self_attn.k_proj.weight": "model-00018-of-00046.safetensors",
175
+ "model.layers.18.self_attn.o_proj.weight": "model-00018-of-00046.safetensors",
176
+ "model.layers.18.self_attn.q_proj.bias": "model-00018-of-00046.safetensors",
177
+ "model.layers.18.self_attn.q_proj.weight": "model-00018-of-00046.safetensors",
178
+ "model.layers.18.self_attn.v_proj.bias": "model-00018-of-00046.safetensors",
179
+ "model.layers.18.self_attn.v_proj.weight": "model-00018-of-00046.safetensors",
180
+ "model.layers.19.input_layernorm.weight": "model-00020-of-00046.safetensors",
181
+ "model.layers.19.mlp.experts.down_proj": "model-00020-of-00046.safetensors",
182
+ "model.layers.19.mlp.experts.gate_up_proj": "model-00019-of-00046.safetensors",
183
+ "model.layers.19.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
184
+ "model.layers.19.mlp.gate.weight": "model-00020-of-00046.safetensors",
185
+ "model.layers.19.mlp.shared_experts.down_proj.weight": "model-00020-of-00046.safetensors",
186
+ "model.layers.19.mlp.shared_experts.gate_proj.weight": "model-00020-of-00046.safetensors",
187
+ "model.layers.19.mlp.shared_experts.up_proj.weight": "model-00020-of-00046.safetensors",
188
+ "model.layers.19.post_attention_layernorm.weight": "model-00020-of-00046.safetensors",
189
+ "model.layers.19.self_attn.k_proj.bias": "model-00019-of-00046.safetensors",
190
+ "model.layers.19.self_attn.k_proj.weight": "model-00019-of-00046.safetensors",
191
+ "model.layers.19.self_attn.o_proj.weight": "model-00019-of-00046.safetensors",
192
+ "model.layers.19.self_attn.q_proj.bias": "model-00019-of-00046.safetensors",
193
+ "model.layers.19.self_attn.q_proj.weight": "model-00019-of-00046.safetensors",
194
+ "model.layers.19.self_attn.v_proj.bias": "model-00019-of-00046.safetensors",
195
+ "model.layers.19.self_attn.v_proj.weight": "model-00019-of-00046.safetensors",
196
+ "model.layers.2.input_layernorm.weight": "model-00003-of-00046.safetensors",
197
+ "model.layers.2.mlp.experts.down_proj": "model-00003-of-00046.safetensors",
198
+ "model.layers.2.mlp.experts.gate_up_proj": "model-00002-of-00046.safetensors",
199
+ "model.layers.2.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
200
+ "model.layers.2.mlp.gate.weight": "model-00003-of-00046.safetensors",
201
+ "model.layers.2.mlp.shared_experts.down_proj.weight": "model-00003-of-00046.safetensors",
202
+ "model.layers.2.mlp.shared_experts.gate_proj.weight": "model-00003-of-00046.safetensors",
203
+ "model.layers.2.mlp.shared_experts.up_proj.weight": "model-00003-of-00046.safetensors",
204
+ "model.layers.2.post_attention_layernorm.weight": "model-00003-of-00046.safetensors",
205
+ "model.layers.2.self_attn.k_proj.bias": "model-00002-of-00046.safetensors",
206
+ "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00046.safetensors",
207
+ "model.layers.2.self_attn.o_proj.weight": "model-00002-of-00046.safetensors",
208
+ "model.layers.2.self_attn.q_proj.bias": "model-00002-of-00046.safetensors",
209
+ "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00046.safetensors",
210
+ "model.layers.2.self_attn.v_proj.bias": "model-00002-of-00046.safetensors",
211
+ "model.layers.2.self_attn.v_proj.weight": "model-00002-of-00046.safetensors",
212
+ "model.layers.20.input_layernorm.weight": "model-00021-of-00046.safetensors",
213
+ "model.layers.20.mlp.experts.down_proj": "model-00021-of-00046.safetensors",
214
+ "model.layers.20.mlp.experts.gate_up_proj": "model-00020-of-00046.safetensors",
215
+ "model.layers.20.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
216
+ "model.layers.20.mlp.gate.weight": "model-00021-of-00046.safetensors",
217
+ "model.layers.20.mlp.shared_experts.down_proj.weight": "model-00021-of-00046.safetensors",
218
+ "model.layers.20.mlp.shared_experts.gate_proj.weight": "model-00021-of-00046.safetensors",
219
+ "model.layers.20.mlp.shared_experts.up_proj.weight": "model-00021-of-00046.safetensors",
220
+ "model.layers.20.post_attention_layernorm.weight": "model-00021-of-00046.safetensors",
221
+ "model.layers.20.self_attn.k_proj.bias": "model-00020-of-00046.safetensors",
222
+ "model.layers.20.self_attn.k_proj.weight": "model-00020-of-00046.safetensors",
223
+ "model.layers.20.self_attn.o_proj.weight": "model-00020-of-00046.safetensors",
224
+ "model.layers.20.self_attn.q_proj.bias": "model-00020-of-00046.safetensors",
225
+ "model.layers.20.self_attn.q_proj.weight": "model-00020-of-00046.safetensors",
226
+ "model.layers.20.self_attn.v_proj.bias": "model-00020-of-00046.safetensors",
227
+ "model.layers.20.self_attn.v_proj.weight": "model-00020-of-00046.safetensors",
228
+ "model.layers.21.input_layernorm.weight": "model-00022-of-00046.safetensors",
229
+ "model.layers.21.mlp.experts.down_proj": "model-00022-of-00046.safetensors",
230
+ "model.layers.21.mlp.experts.gate_up_proj": "model-00021-of-00046.safetensors",
231
+ "model.layers.21.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
232
+ "model.layers.21.mlp.gate.weight": "model-00022-of-00046.safetensors",
233
+ "model.layers.21.mlp.shared_experts.down_proj.weight": "model-00022-of-00046.safetensors",
234
+ "model.layers.21.mlp.shared_experts.gate_proj.weight": "model-00022-of-00046.safetensors",
235
+ "model.layers.21.mlp.shared_experts.up_proj.weight": "model-00022-of-00046.safetensors",
236
+ "model.layers.21.post_attention_layernorm.weight": "model-00022-of-00046.safetensors",
237
+ "model.layers.21.self_attn.k_proj.bias": "model-00021-of-00046.safetensors",
238
+ "model.layers.21.self_attn.k_proj.weight": "model-00021-of-00046.safetensors",
239
+ "model.layers.21.self_attn.o_proj.weight": "model-00021-of-00046.safetensors",
240
+ "model.layers.21.self_attn.q_proj.bias": "model-00021-of-00046.safetensors",
241
+ "model.layers.21.self_attn.q_proj.weight": "model-00021-of-00046.safetensors",
242
+ "model.layers.21.self_attn.v_proj.bias": "model-00021-of-00046.safetensors",
243
+ "model.layers.21.self_attn.v_proj.weight": "model-00021-of-00046.safetensors",
244
+ "model.layers.22.input_layernorm.weight": "model-00023-of-00046.safetensors",
245
+ "model.layers.22.mlp.experts.down_proj": "model-00023-of-00046.safetensors",
246
+ "model.layers.22.mlp.experts.gate_up_proj": "model-00022-of-00046.safetensors",
247
+ "model.layers.22.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
248
+ "model.layers.22.mlp.gate.weight": "model-00023-of-00046.safetensors",
249
+ "model.layers.22.mlp.shared_experts.down_proj.weight": "model-00023-of-00046.safetensors",
250
+ "model.layers.22.mlp.shared_experts.gate_proj.weight": "model-00023-of-00046.safetensors",
251
+ "model.layers.22.mlp.shared_experts.up_proj.weight": "model-00023-of-00046.safetensors",
252
+ "model.layers.22.post_attention_layernorm.weight": "model-00023-of-00046.safetensors",
253
+ "model.layers.22.self_attn.k_proj.bias": "model-00022-of-00046.safetensors",
254
+ "model.layers.22.self_attn.k_proj.weight": "model-00022-of-00046.safetensors",
255
+ "model.layers.22.self_attn.o_proj.weight": "model-00022-of-00046.safetensors",
256
+ "model.layers.22.self_attn.q_proj.bias": "model-00022-of-00046.safetensors",
257
+ "model.layers.22.self_attn.q_proj.weight": "model-00022-of-00046.safetensors",
258
+ "model.layers.22.self_attn.v_proj.bias": "model-00022-of-00046.safetensors",
259
+ "model.layers.22.self_attn.v_proj.weight": "model-00022-of-00046.safetensors",
260
+ "model.layers.23.input_layernorm.weight": "model-00024-of-00046.safetensors",
261
+ "model.layers.23.mlp.experts.down_proj": "model-00024-of-00046.safetensors",
262
+ "model.layers.23.mlp.experts.gate_up_proj": "model-00023-of-00046.safetensors",
263
+ "model.layers.23.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
264
+ "model.layers.23.mlp.gate.weight": "model-00024-of-00046.safetensors",
265
+ "model.layers.23.mlp.shared_experts.down_proj.weight": "model-00024-of-00046.safetensors",
266
+ "model.layers.23.mlp.shared_experts.gate_proj.weight": "model-00024-of-00046.safetensors",
267
+ "model.layers.23.mlp.shared_experts.up_proj.weight": "model-00024-of-00046.safetensors",
268
+ "model.layers.23.post_attention_layernorm.weight": "model-00024-of-00046.safetensors",
269
+ "model.layers.23.self_attn.k_proj.bias": "model-00023-of-00046.safetensors",
270
+ "model.layers.23.self_attn.k_proj.weight": "model-00023-of-00046.safetensors",
271
+ "model.layers.23.self_attn.o_proj.weight": "model-00023-of-00046.safetensors",
272
+ "model.layers.23.self_attn.q_proj.bias": "model-00023-of-00046.safetensors",
273
+ "model.layers.23.self_attn.q_proj.weight": "model-00023-of-00046.safetensors",
274
+ "model.layers.23.self_attn.v_proj.bias": "model-00023-of-00046.safetensors",
275
+ "model.layers.23.self_attn.v_proj.weight": "model-00023-of-00046.safetensors",
276
+ "model.layers.24.input_layernorm.weight": "model-00025-of-00046.safetensors",
277
+ "model.layers.24.mlp.experts.down_proj": "model-00025-of-00046.safetensors",
278
+ "model.layers.24.mlp.experts.gate_up_proj": "model-00024-of-00046.safetensors",
279
+ "model.layers.24.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
280
+ "model.layers.24.mlp.gate.weight": "model-00025-of-00046.safetensors",
281
+ "model.layers.24.mlp.shared_experts.down_proj.weight": "model-00025-of-00046.safetensors",
282
+ "model.layers.24.mlp.shared_experts.gate_proj.weight": "model-00025-of-00046.safetensors",
283
+ "model.layers.24.mlp.shared_experts.up_proj.weight": "model-00025-of-00046.safetensors",
284
+ "model.layers.24.post_attention_layernorm.weight": "model-00025-of-00046.safetensors",
285
+ "model.layers.24.self_attn.k_proj.bias": "model-00024-of-00046.safetensors",
286
+ "model.layers.24.self_attn.k_proj.weight": "model-00024-of-00046.safetensors",
287
+ "model.layers.24.self_attn.o_proj.weight": "model-00024-of-00046.safetensors",
288
+ "model.layers.24.self_attn.q_proj.bias": "model-00024-of-00046.safetensors",
289
+ "model.layers.24.self_attn.q_proj.weight": "model-00024-of-00046.safetensors",
290
+ "model.layers.24.self_attn.v_proj.bias": "model-00024-of-00046.safetensors",
291
+ "model.layers.24.self_attn.v_proj.weight": "model-00024-of-00046.safetensors",
292
+ "model.layers.25.input_layernorm.weight": "model-00026-of-00046.safetensors",
293
+ "model.layers.25.mlp.experts.down_proj": "model-00026-of-00046.safetensors",
294
+ "model.layers.25.mlp.experts.gate_up_proj": "model-00025-of-00046.safetensors",
295
+ "model.layers.25.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
296
+ "model.layers.25.mlp.gate.weight": "model-00026-of-00046.safetensors",
297
+ "model.layers.25.mlp.shared_experts.down_proj.weight": "model-00026-of-00046.safetensors",
298
+ "model.layers.25.mlp.shared_experts.gate_proj.weight": "model-00026-of-00046.safetensors",
299
+ "model.layers.25.mlp.shared_experts.up_proj.weight": "model-00026-of-00046.safetensors",
300
+ "model.layers.25.post_attention_layernorm.weight": "model-00026-of-00046.safetensors",
301
+ "model.layers.25.self_attn.k_proj.bias": "model-00025-of-00046.safetensors",
302
+ "model.layers.25.self_attn.k_proj.weight": "model-00025-of-00046.safetensors",
303
+ "model.layers.25.self_attn.o_proj.weight": "model-00025-of-00046.safetensors",
304
+ "model.layers.25.self_attn.q_proj.bias": "model-00025-of-00046.safetensors",
305
+ "model.layers.25.self_attn.q_proj.weight": "model-00025-of-00046.safetensors",
306
+ "model.layers.25.self_attn.v_proj.bias": "model-00025-of-00046.safetensors",
307
+ "model.layers.25.self_attn.v_proj.weight": "model-00025-of-00046.safetensors",
308
+ "model.layers.26.input_layernorm.weight": "model-00027-of-00046.safetensors",
309
+ "model.layers.26.mlp.experts.down_proj": "model-00027-of-00046.safetensors",
310
+ "model.layers.26.mlp.experts.gate_up_proj": "model-00026-of-00046.safetensors",
311
+ "model.layers.26.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
312
+ "model.layers.26.mlp.gate.weight": "model-00027-of-00046.safetensors",
313
+ "model.layers.26.mlp.shared_experts.down_proj.weight": "model-00027-of-00046.safetensors",
314
+ "model.layers.26.mlp.shared_experts.gate_proj.weight": "model-00027-of-00046.safetensors",
315
+ "model.layers.26.mlp.shared_experts.up_proj.weight": "model-00027-of-00046.safetensors",
316
+ "model.layers.26.post_attention_layernorm.weight": "model-00027-of-00046.safetensors",
317
+ "model.layers.26.self_attn.k_proj.bias": "model-00026-of-00046.safetensors",
318
+ "model.layers.26.self_attn.k_proj.weight": "model-00026-of-00046.safetensors",
319
+ "model.layers.26.self_attn.o_proj.weight": "model-00026-of-00046.safetensors",
320
+ "model.layers.26.self_attn.q_proj.bias": "model-00026-of-00046.safetensors",
321
+ "model.layers.26.self_attn.q_proj.weight": "model-00026-of-00046.safetensors",
322
+ "model.layers.26.self_attn.v_proj.bias": "model-00026-of-00046.safetensors",
323
+ "model.layers.26.self_attn.v_proj.weight": "model-00026-of-00046.safetensors",
324
+ "model.layers.27.input_layernorm.weight": "model-00028-of-00046.safetensors",
325
+ "model.layers.27.mlp.experts.down_proj": "model-00028-of-00046.safetensors",
326
+ "model.layers.27.mlp.experts.gate_up_proj": "model-00027-of-00046.safetensors",
327
+ "model.layers.27.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
328
+ "model.layers.27.mlp.gate.weight": "model-00028-of-00046.safetensors",
329
+ "model.layers.27.mlp.shared_experts.down_proj.weight": "model-00028-of-00046.safetensors",
330
+ "model.layers.27.mlp.shared_experts.gate_proj.weight": "model-00028-of-00046.safetensors",
331
+ "model.layers.27.mlp.shared_experts.up_proj.weight": "model-00028-of-00046.safetensors",
332
+ "model.layers.27.post_attention_layernorm.weight": "model-00028-of-00046.safetensors",
333
+ "model.layers.27.self_attn.k_proj.bias": "model-00027-of-00046.safetensors",
334
+ "model.layers.27.self_attn.k_proj.weight": "model-00027-of-00046.safetensors",
335
+ "model.layers.27.self_attn.o_proj.weight": "model-00027-of-00046.safetensors",
336
+ "model.layers.27.self_attn.q_proj.bias": "model-00027-of-00046.safetensors",
337
+ "model.layers.27.self_attn.q_proj.weight": "model-00027-of-00046.safetensors",
338
+ "model.layers.27.self_attn.v_proj.bias": "model-00027-of-00046.safetensors",
339
+ "model.layers.27.self_attn.v_proj.weight": "model-00027-of-00046.safetensors",
340
+ "model.layers.28.input_layernorm.weight": "model-00029-of-00046.safetensors",
341
+ "model.layers.28.mlp.experts.down_proj": "model-00029-of-00046.safetensors",
342
+ "model.layers.28.mlp.experts.gate_up_proj": "model-00028-of-00046.safetensors",
343
+ "model.layers.28.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
344
+ "model.layers.28.mlp.gate.weight": "model-00029-of-00046.safetensors",
345
+ "model.layers.28.mlp.shared_experts.down_proj.weight": "model-00029-of-00046.safetensors",
346
+ "model.layers.28.mlp.shared_experts.gate_proj.weight": "model-00029-of-00046.safetensors",
347
+ "model.layers.28.mlp.shared_experts.up_proj.weight": "model-00029-of-00046.safetensors",
348
+ "model.layers.28.post_attention_layernorm.weight": "model-00029-of-00046.safetensors",
349
+ "model.layers.28.self_attn.k_proj.bias": "model-00028-of-00046.safetensors",
350
+ "model.layers.28.self_attn.k_proj.weight": "model-00028-of-00046.safetensors",
351
+ "model.layers.28.self_attn.o_proj.weight": "model-00028-of-00046.safetensors",
352
+ "model.layers.28.self_attn.q_proj.bias": "model-00028-of-00046.safetensors",
353
+ "model.layers.28.self_attn.q_proj.weight": "model-00028-of-00046.safetensors",
354
+ "model.layers.28.self_attn.v_proj.bias": "model-00028-of-00046.safetensors",
355
+ "model.layers.28.self_attn.v_proj.weight": "model-00028-of-00046.safetensors",
356
+ "model.layers.29.input_layernorm.weight": "model-00030-of-00046.safetensors",
357
+ "model.layers.29.mlp.experts.down_proj": "model-00030-of-00046.safetensors",
358
+ "model.layers.29.mlp.experts.gate_up_proj": "model-00029-of-00046.safetensors",
359
+ "model.layers.29.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
360
+ "model.layers.29.mlp.gate.weight": "model-00030-of-00046.safetensors",
361
+ "model.layers.29.mlp.shared_experts.down_proj.weight": "model-00030-of-00046.safetensors",
362
+ "model.layers.29.mlp.shared_experts.gate_proj.weight": "model-00030-of-00046.safetensors",
363
+ "model.layers.29.mlp.shared_experts.up_proj.weight": "model-00030-of-00046.safetensors",
364
+ "model.layers.29.post_attention_layernorm.weight": "model-00030-of-00046.safetensors",
365
+ "model.layers.29.self_attn.k_proj.bias": "model-00029-of-00046.safetensors",
366
+ "model.layers.29.self_attn.k_proj.weight": "model-00029-of-00046.safetensors",
367
+ "model.layers.29.self_attn.o_proj.weight": "model-00029-of-00046.safetensors",
368
+ "model.layers.29.self_attn.q_proj.bias": "model-00029-of-00046.safetensors",
369
+ "model.layers.29.self_attn.q_proj.weight": "model-00029-of-00046.safetensors",
370
+ "model.layers.29.self_attn.v_proj.bias": "model-00029-of-00046.safetensors",
371
+ "model.layers.29.self_attn.v_proj.weight": "model-00029-of-00046.safetensors",
372
+ "model.layers.3.input_layernorm.weight": "model-00004-of-00046.safetensors",
373
+ "model.layers.3.mlp.experts.down_proj": "model-00004-of-00046.safetensors",
374
+ "model.layers.3.mlp.experts.gate_up_proj": "model-00003-of-00046.safetensors",
375
+ "model.layers.3.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
376
+ "model.layers.3.mlp.gate.weight": "model-00004-of-00046.safetensors",
377
+ "model.layers.3.mlp.shared_experts.down_proj.weight": "model-00004-of-00046.safetensors",
378
+ "model.layers.3.mlp.shared_experts.gate_proj.weight": "model-00004-of-00046.safetensors",
379
+ "model.layers.3.mlp.shared_experts.up_proj.weight": "model-00004-of-00046.safetensors",
380
+ "model.layers.3.post_attention_layernorm.weight": "model-00004-of-00046.safetensors",
381
+ "model.layers.3.self_attn.k_proj.bias": "model-00003-of-00046.safetensors",
382
+ "model.layers.3.self_attn.k_proj.weight": "model-00003-of-00046.safetensors",
383
+ "model.layers.3.self_attn.o_proj.weight": "model-00003-of-00046.safetensors",
384
+ "model.layers.3.self_attn.q_proj.bias": "model-00003-of-00046.safetensors",
385
+ "model.layers.3.self_attn.q_proj.weight": "model-00003-of-00046.safetensors",
386
+ "model.layers.3.self_attn.v_proj.bias": "model-00003-of-00046.safetensors",
387
+ "model.layers.3.self_attn.v_proj.weight": "model-00003-of-00046.safetensors",
388
+ "model.layers.30.input_layernorm.weight": "model-00031-of-00046.safetensors",
389
+ "model.layers.30.mlp.experts.down_proj": "model-00031-of-00046.safetensors",
390
+ "model.layers.30.mlp.experts.gate_up_proj": "model-00030-of-00046.safetensors",
391
+ "model.layers.30.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
392
+ "model.layers.30.mlp.gate.weight": "model-00031-of-00046.safetensors",
393
+ "model.layers.30.mlp.shared_experts.down_proj.weight": "model-00031-of-00046.safetensors",
394
+ "model.layers.30.mlp.shared_experts.gate_proj.weight": "model-00031-of-00046.safetensors",
395
+ "model.layers.30.mlp.shared_experts.up_proj.weight": "model-00031-of-00046.safetensors",
396
+ "model.layers.30.post_attention_layernorm.weight": "model-00031-of-00046.safetensors",
397
+ "model.layers.30.self_attn.k_proj.bias": "model-00030-of-00046.safetensors",
398
+ "model.layers.30.self_attn.k_proj.weight": "model-00030-of-00046.safetensors",
399
+ "model.layers.30.self_attn.o_proj.weight": "model-00030-of-00046.safetensors",
400
+ "model.layers.30.self_attn.q_proj.bias": "model-00030-of-00046.safetensors",
401
+ "model.layers.30.self_attn.q_proj.weight": "model-00030-of-00046.safetensors",
402
+ "model.layers.30.self_attn.v_proj.bias": "model-00030-of-00046.safetensors",
403
+ "model.layers.30.self_attn.v_proj.weight": "model-00030-of-00046.safetensors",
404
+ "model.layers.31.input_layernorm.weight": "model-00032-of-00046.safetensors",
405
+ "model.layers.31.mlp.experts.down_proj": "model-00032-of-00046.safetensors",
406
+ "model.layers.31.mlp.experts.gate_up_proj": "model-00031-of-00046.safetensors",
407
+ "model.layers.31.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
408
+ "model.layers.31.mlp.gate.weight": "model-00032-of-00046.safetensors",
409
+ "model.layers.31.mlp.shared_experts.down_proj.weight": "model-00032-of-00046.safetensors",
410
+ "model.layers.31.mlp.shared_experts.gate_proj.weight": "model-00032-of-00046.safetensors",
411
+ "model.layers.31.mlp.shared_experts.up_proj.weight": "model-00032-of-00046.safetensors",
412
+ "model.layers.31.post_attention_layernorm.weight": "model-00032-of-00046.safetensors",
413
+ "model.layers.31.self_attn.k_proj.bias": "model-00031-of-00046.safetensors",
414
+ "model.layers.31.self_attn.k_proj.weight": "model-00031-of-00046.safetensors",
415
+ "model.layers.31.self_attn.o_proj.weight": "model-00031-of-00046.safetensors",
416
+ "model.layers.31.self_attn.q_proj.bias": "model-00031-of-00046.safetensors",
417
+ "model.layers.31.self_attn.q_proj.weight": "model-00031-of-00046.safetensors",
418
+ "model.layers.31.self_attn.v_proj.bias": "model-00031-of-00046.safetensors",
419
+ "model.layers.31.self_attn.v_proj.weight": "model-00031-of-00046.safetensors",
420
+ "model.layers.32.input_layernorm.weight": "model-00033-of-00046.safetensors",
421
+ "model.layers.32.mlp.experts.down_proj": "model-00033-of-00046.safetensors",
422
+ "model.layers.32.mlp.experts.gate_up_proj": "model-00032-of-00046.safetensors",
423
+ "model.layers.32.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
424
+ "model.layers.32.mlp.gate.weight": "model-00033-of-00046.safetensors",
425
+ "model.layers.32.mlp.shared_experts.down_proj.weight": "model-00033-of-00046.safetensors",
426
+ "model.layers.32.mlp.shared_experts.gate_proj.weight": "model-00033-of-00046.safetensors",
427
+ "model.layers.32.mlp.shared_experts.up_proj.weight": "model-00033-of-00046.safetensors",
428
+ "model.layers.32.post_attention_layernorm.weight": "model-00033-of-00046.safetensors",
429
+ "model.layers.32.self_attn.k_proj.bias": "model-00032-of-00046.safetensors",
430
+ "model.layers.32.self_attn.k_proj.weight": "model-00032-of-00046.safetensors",
431
+ "model.layers.32.self_attn.o_proj.weight": "model-00032-of-00046.safetensors",
432
+ "model.layers.32.self_attn.q_proj.bias": "model-00032-of-00046.safetensors",
433
+ "model.layers.32.self_attn.q_proj.weight": "model-00032-of-00046.safetensors",
434
+ "model.layers.32.self_attn.v_proj.bias": "model-00032-of-00046.safetensors",
435
+ "model.layers.32.self_attn.v_proj.weight": "model-00032-of-00046.safetensors",
436
+ "model.layers.33.input_layernorm.weight": "model-00034-of-00046.safetensors",
437
+ "model.layers.33.mlp.experts.down_proj": "model-00034-of-00046.safetensors",
438
+ "model.layers.33.mlp.experts.gate_up_proj": "model-00033-of-00046.safetensors",
439
+ "model.layers.33.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
440
+ "model.layers.33.mlp.gate.weight": "model-00034-of-00046.safetensors",
441
+ "model.layers.33.mlp.shared_experts.down_proj.weight": "model-00034-of-00046.safetensors",
442
+ "model.layers.33.mlp.shared_experts.gate_proj.weight": "model-00034-of-00046.safetensors",
443
+ "model.layers.33.mlp.shared_experts.up_proj.weight": "model-00034-of-00046.safetensors",
444
+ "model.layers.33.post_attention_layernorm.weight": "model-00034-of-00046.safetensors",
445
+ "model.layers.33.self_attn.k_proj.bias": "model-00033-of-00046.safetensors",
446
+ "model.layers.33.self_attn.k_proj.weight": "model-00033-of-00046.safetensors",
447
+ "model.layers.33.self_attn.o_proj.weight": "model-00033-of-00046.safetensors",
448
+ "model.layers.33.self_attn.q_proj.bias": "model-00033-of-00046.safetensors",
449
+ "model.layers.33.self_attn.q_proj.weight": "model-00033-of-00046.safetensors",
450
+ "model.layers.33.self_attn.v_proj.bias": "model-00033-of-00046.safetensors",
451
+ "model.layers.33.self_attn.v_proj.weight": "model-00033-of-00046.safetensors",
452
+ "model.layers.34.input_layernorm.weight": "model-00035-of-00046.safetensors",
453
+ "model.layers.34.mlp.experts.down_proj": "model-00035-of-00046.safetensors",
454
+ "model.layers.34.mlp.experts.gate_up_proj": "model-00034-of-00046.safetensors",
455
+ "model.layers.34.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
456
+ "model.layers.34.mlp.gate.weight": "model-00035-of-00046.safetensors",
457
+ "model.layers.34.mlp.shared_experts.down_proj.weight": "model-00035-of-00046.safetensors",
458
+ "model.layers.34.mlp.shared_experts.gate_proj.weight": "model-00035-of-00046.safetensors",
459
+ "model.layers.34.mlp.shared_experts.up_proj.weight": "model-00035-of-00046.safetensors",
460
+ "model.layers.34.post_attention_layernorm.weight": "model-00035-of-00046.safetensors",
461
+ "model.layers.34.self_attn.k_proj.bias": "model-00034-of-00046.safetensors",
462
+ "model.layers.34.self_attn.k_proj.weight": "model-00034-of-00046.safetensors",
463
+ "model.layers.34.self_attn.o_proj.weight": "model-00034-of-00046.safetensors",
464
+ "model.layers.34.self_attn.q_proj.bias": "model-00034-of-00046.safetensors",
465
+ "model.layers.34.self_attn.q_proj.weight": "model-00034-of-00046.safetensors",
466
+ "model.layers.34.self_attn.v_proj.bias": "model-00034-of-00046.safetensors",
467
+ "model.layers.34.self_attn.v_proj.weight": "model-00034-of-00046.safetensors",
468
+ "model.layers.35.input_layernorm.weight": "model-00036-of-00046.safetensors",
469
+ "model.layers.35.mlp.experts.down_proj": "model-00036-of-00046.safetensors",
470
+ "model.layers.35.mlp.experts.gate_up_proj": "model-00035-of-00046.safetensors",
471
+ "model.layers.35.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
472
+ "model.layers.35.mlp.gate.weight": "model-00036-of-00046.safetensors",
473
+ "model.layers.35.mlp.shared_experts.down_proj.weight": "model-00036-of-00046.safetensors",
474
+ "model.layers.35.mlp.shared_experts.gate_proj.weight": "model-00036-of-00046.safetensors",
475
+ "model.layers.35.mlp.shared_experts.up_proj.weight": "model-00036-of-00046.safetensors",
476
+ "model.layers.35.post_attention_layernorm.weight": "model-00036-of-00046.safetensors",
477
+ "model.layers.35.self_attn.k_proj.bias": "model-00035-of-00046.safetensors",
478
+ "model.layers.35.self_attn.k_proj.weight": "model-00035-of-00046.safetensors",
479
+ "model.layers.35.self_attn.o_proj.weight": "model-00035-of-00046.safetensors",
480
+ "model.layers.35.self_attn.q_proj.bias": "model-00035-of-00046.safetensors",
481
+ "model.layers.35.self_attn.q_proj.weight": "model-00035-of-00046.safetensors",
482
+ "model.layers.35.self_attn.v_proj.bias": "model-00035-of-00046.safetensors",
483
+ "model.layers.35.self_attn.v_proj.weight": "model-00035-of-00046.safetensors",
484
+ "model.layers.36.input_layernorm.weight": "model-00037-of-00046.safetensors",
485
+ "model.layers.36.mlp.experts.down_proj": "model-00037-of-00046.safetensors",
486
+ "model.layers.36.mlp.experts.gate_up_proj": "model-00036-of-00046.safetensors",
487
+ "model.layers.36.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
488
+ "model.layers.36.mlp.gate.weight": "model-00037-of-00046.safetensors",
489
+ "model.layers.36.mlp.shared_experts.down_proj.weight": "model-00037-of-00046.safetensors",
490
+ "model.layers.36.mlp.shared_experts.gate_proj.weight": "model-00037-of-00046.safetensors",
491
+ "model.layers.36.mlp.shared_experts.up_proj.weight": "model-00037-of-00046.safetensors",
492
+ "model.layers.36.post_attention_layernorm.weight": "model-00037-of-00046.safetensors",
493
+ "model.layers.36.self_attn.k_proj.bias": "model-00036-of-00046.safetensors",
494
+ "model.layers.36.self_attn.k_proj.weight": "model-00036-of-00046.safetensors",
495
+ "model.layers.36.self_attn.o_proj.weight": "model-00036-of-00046.safetensors",
496
+ "model.layers.36.self_attn.q_proj.bias": "model-00036-of-00046.safetensors",
497
+ "model.layers.36.self_attn.q_proj.weight": "model-00036-of-00046.safetensors",
498
+ "model.layers.36.self_attn.v_proj.bias": "model-00036-of-00046.safetensors",
499
+ "model.layers.36.self_attn.v_proj.weight": "model-00036-of-00046.safetensors",
500
+ "model.layers.37.input_layernorm.weight": "model-00038-of-00046.safetensors",
501
+ "model.layers.37.mlp.experts.down_proj": "model-00038-of-00046.safetensors",
502
+ "model.layers.37.mlp.experts.gate_up_proj": "model-00037-of-00046.safetensors",
503
+ "model.layers.37.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
504
+ "model.layers.37.mlp.gate.weight": "model-00038-of-00046.safetensors",
505
+ "model.layers.37.mlp.shared_experts.down_proj.weight": "model-00038-of-00046.safetensors",
506
+ "model.layers.37.mlp.shared_experts.gate_proj.weight": "model-00038-of-00046.safetensors",
507
+ "model.layers.37.mlp.shared_experts.up_proj.weight": "model-00038-of-00046.safetensors",
508
+ "model.layers.37.post_attention_layernorm.weight": "model-00038-of-00046.safetensors",
509
+ "model.layers.37.self_attn.k_proj.bias": "model-00037-of-00046.safetensors",
510
+ "model.layers.37.self_attn.k_proj.weight": "model-00037-of-00046.safetensors",
511
+ "model.layers.37.self_attn.o_proj.weight": "model-00037-of-00046.safetensors",
512
+ "model.layers.37.self_attn.q_proj.bias": "model-00037-of-00046.safetensors",
513
+ "model.layers.37.self_attn.q_proj.weight": "model-00037-of-00046.safetensors",
514
+ "model.layers.37.self_attn.v_proj.bias": "model-00037-of-00046.safetensors",
515
+ "model.layers.37.self_attn.v_proj.weight": "model-00037-of-00046.safetensors",
516
+ "model.layers.38.input_layernorm.weight": "model-00039-of-00046.safetensors",
517
+ "model.layers.38.mlp.experts.down_proj": "model-00039-of-00046.safetensors",
518
+ "model.layers.38.mlp.experts.gate_up_proj": "model-00038-of-00046.safetensors",
519
+ "model.layers.38.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
520
+ "model.layers.38.mlp.gate.weight": "model-00039-of-00046.safetensors",
521
+ "model.layers.38.mlp.shared_experts.down_proj.weight": "model-00039-of-00046.safetensors",
522
+ "model.layers.38.mlp.shared_experts.gate_proj.weight": "model-00039-of-00046.safetensors",
523
+ "model.layers.38.mlp.shared_experts.up_proj.weight": "model-00039-of-00046.safetensors",
524
+ "model.layers.38.post_attention_layernorm.weight": "model-00039-of-00046.safetensors",
525
+ "model.layers.38.self_attn.k_proj.bias": "model-00038-of-00046.safetensors",
526
+ "model.layers.38.self_attn.k_proj.weight": "model-00038-of-00046.safetensors",
527
+ "model.layers.38.self_attn.o_proj.weight": "model-00038-of-00046.safetensors",
528
+ "model.layers.38.self_attn.q_proj.bias": "model-00038-of-00046.safetensors",
529
+ "model.layers.38.self_attn.q_proj.weight": "model-00038-of-00046.safetensors",
530
+ "model.layers.38.self_attn.v_proj.bias": "model-00038-of-00046.safetensors",
531
+ "model.layers.38.self_attn.v_proj.weight": "model-00038-of-00046.safetensors",
532
+ "model.layers.39.input_layernorm.weight": "model-00040-of-00046.safetensors",
533
+ "model.layers.39.mlp.experts.down_proj": "model-00040-of-00046.safetensors",
534
+ "model.layers.39.mlp.experts.gate_up_proj": "model-00039-of-00046.safetensors",
535
+ "model.layers.39.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
536
+ "model.layers.39.mlp.gate.weight": "model-00040-of-00046.safetensors",
537
+ "model.layers.39.mlp.shared_experts.down_proj.weight": "model-00040-of-00046.safetensors",
538
+ "model.layers.39.mlp.shared_experts.gate_proj.weight": "model-00040-of-00046.safetensors",
539
+ "model.layers.39.mlp.shared_experts.up_proj.weight": "model-00040-of-00046.safetensors",
540
+ "model.layers.39.post_attention_layernorm.weight": "model-00040-of-00046.safetensors",
541
+ "model.layers.39.self_attn.k_proj.bias": "model-00039-of-00046.safetensors",
542
+ "model.layers.39.self_attn.k_proj.weight": "model-00039-of-00046.safetensors",
543
+ "model.layers.39.self_attn.o_proj.weight": "model-00039-of-00046.safetensors",
544
+ "model.layers.39.self_attn.q_proj.bias": "model-00039-of-00046.safetensors",
545
+ "model.layers.39.self_attn.q_proj.weight": "model-00039-of-00046.safetensors",
546
+ "model.layers.39.self_attn.v_proj.bias": "model-00039-of-00046.safetensors",
547
+ "model.layers.39.self_attn.v_proj.weight": "model-00039-of-00046.safetensors",
548
+ "model.layers.4.input_layernorm.weight": "model-00005-of-00046.safetensors",
549
+ "model.layers.4.mlp.experts.down_proj": "model-00005-of-00046.safetensors",
550
+ "model.layers.4.mlp.experts.gate_up_proj": "model-00004-of-00046.safetensors",
551
+ "model.layers.4.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
552
+ "model.layers.4.mlp.gate.weight": "model-00005-of-00046.safetensors",
553
+ "model.layers.4.mlp.shared_experts.down_proj.weight": "model-00005-of-00046.safetensors",
554
+ "model.layers.4.mlp.shared_experts.gate_proj.weight": "model-00005-of-00046.safetensors",
555
+ "model.layers.4.mlp.shared_experts.up_proj.weight": "model-00005-of-00046.safetensors",
556
+ "model.layers.4.post_attention_layernorm.weight": "model-00005-of-00046.safetensors",
557
+ "model.layers.4.self_attn.k_proj.bias": "model-00004-of-00046.safetensors",
558
+ "model.layers.4.self_attn.k_proj.weight": "model-00004-of-00046.safetensors",
559
+ "model.layers.4.self_attn.o_proj.weight": "model-00004-of-00046.safetensors",
560
+ "model.layers.4.self_attn.q_proj.bias": "model-00004-of-00046.safetensors",
561
+ "model.layers.4.self_attn.q_proj.weight": "model-00004-of-00046.safetensors",
562
+ "model.layers.4.self_attn.v_proj.bias": "model-00004-of-00046.safetensors",
563
+ "model.layers.4.self_attn.v_proj.weight": "model-00004-of-00046.safetensors",
564
+ "model.layers.40.input_layernorm.weight": "model-00041-of-00046.safetensors",
565
+ "model.layers.40.mlp.experts.down_proj": "model-00041-of-00046.safetensors",
566
+ "model.layers.40.mlp.experts.gate_up_proj": "model-00040-of-00046.safetensors",
567
+ "model.layers.40.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
568
+ "model.layers.40.mlp.gate.weight": "model-00041-of-00046.safetensors",
569
+ "model.layers.40.mlp.shared_experts.down_proj.weight": "model-00041-of-00046.safetensors",
570
+ "model.layers.40.mlp.shared_experts.gate_proj.weight": "model-00041-of-00046.safetensors",
571
+ "model.layers.40.mlp.shared_experts.up_proj.weight": "model-00041-of-00046.safetensors",
572
+ "model.layers.40.post_attention_layernorm.weight": "model-00041-of-00046.safetensors",
573
+ "model.layers.40.self_attn.k_proj.bias": "model-00040-of-00046.safetensors",
574
+ "model.layers.40.self_attn.k_proj.weight": "model-00040-of-00046.safetensors",
575
+ "model.layers.40.self_attn.o_proj.weight": "model-00040-of-00046.safetensors",
576
+ "model.layers.40.self_attn.q_proj.bias": "model-00040-of-00046.safetensors",
577
+ "model.layers.40.self_attn.q_proj.weight": "model-00040-of-00046.safetensors",
578
+ "model.layers.40.self_attn.v_proj.bias": "model-00040-of-00046.safetensors",
579
+ "model.layers.40.self_attn.v_proj.weight": "model-00040-of-00046.safetensors",
580
+ "model.layers.41.input_layernorm.weight": "model-00042-of-00046.safetensors",
581
+ "model.layers.41.mlp.experts.down_proj": "model-00042-of-00046.safetensors",
582
+ "model.layers.41.mlp.experts.gate_up_proj": "model-00041-of-00046.safetensors",
583
+ "model.layers.41.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
584
+ "model.layers.41.mlp.gate.weight": "model-00042-of-00046.safetensors",
585
+ "model.layers.41.mlp.shared_experts.down_proj.weight": "model-00042-of-00046.safetensors",
586
+ "model.layers.41.mlp.shared_experts.gate_proj.weight": "model-00042-of-00046.safetensors",
587
+ "model.layers.41.mlp.shared_experts.up_proj.weight": "model-00042-of-00046.safetensors",
588
+ "model.layers.41.post_attention_layernorm.weight": "model-00042-of-00046.safetensors",
589
+ "model.layers.41.self_attn.k_proj.bias": "model-00041-of-00046.safetensors",
590
+ "model.layers.41.self_attn.k_proj.weight": "model-00041-of-00046.safetensors",
591
+ "model.layers.41.self_attn.o_proj.weight": "model-00041-of-00046.safetensors",
592
+ "model.layers.41.self_attn.q_proj.bias": "model-00041-of-00046.safetensors",
593
+ "model.layers.41.self_attn.q_proj.weight": "model-00041-of-00046.safetensors",
594
+ "model.layers.41.self_attn.v_proj.bias": "model-00041-of-00046.safetensors",
595
+ "model.layers.41.self_attn.v_proj.weight": "model-00041-of-00046.safetensors",
596
+ "model.layers.42.input_layernorm.weight": "model-00043-of-00046.safetensors",
597
+ "model.layers.42.mlp.experts.down_proj": "model-00043-of-00046.safetensors",
598
+ "model.layers.42.mlp.experts.gate_up_proj": "model-00042-of-00046.safetensors",
599
+ "model.layers.42.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
600
+ "model.layers.42.mlp.gate.weight": "model-00043-of-00046.safetensors",
601
+ "model.layers.42.mlp.shared_experts.down_proj.weight": "model-00043-of-00046.safetensors",
602
+ "model.layers.42.mlp.shared_experts.gate_proj.weight": "model-00043-of-00046.safetensors",
603
+ "model.layers.42.mlp.shared_experts.up_proj.weight": "model-00043-of-00046.safetensors",
604
+ "model.layers.42.post_attention_layernorm.weight": "model-00043-of-00046.safetensors",
605
+ "model.layers.42.self_attn.k_proj.bias": "model-00042-of-00046.safetensors",
606
+ "model.layers.42.self_attn.k_proj.weight": "model-00042-of-00046.safetensors",
607
+ "model.layers.42.self_attn.o_proj.weight": "model-00042-of-00046.safetensors",
608
+ "model.layers.42.self_attn.q_proj.bias": "model-00042-of-00046.safetensors",
609
+ "model.layers.42.self_attn.q_proj.weight": "model-00042-of-00046.safetensors",
610
+ "model.layers.42.self_attn.v_proj.bias": "model-00042-of-00046.safetensors",
611
+ "model.layers.42.self_attn.v_proj.weight": "model-00042-of-00046.safetensors",
612
+ "model.layers.43.input_layernorm.weight": "model-00044-of-00046.safetensors",
613
+ "model.layers.43.mlp.experts.down_proj": "model-00044-of-00046.safetensors",
614
+ "model.layers.43.mlp.experts.gate_up_proj": "model-00043-of-00046.safetensors",
615
+ "model.layers.43.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
616
+ "model.layers.43.mlp.gate.weight": "model-00044-of-00046.safetensors",
617
+ "model.layers.43.mlp.shared_experts.down_proj.weight": "model-00044-of-00046.safetensors",
618
+ "model.layers.43.mlp.shared_experts.gate_proj.weight": "model-00044-of-00046.safetensors",
619
+ "model.layers.43.mlp.shared_experts.up_proj.weight": "model-00044-of-00046.safetensors",
620
+ "model.layers.43.post_attention_layernorm.weight": "model-00044-of-00046.safetensors",
621
+ "model.layers.43.self_attn.k_proj.bias": "model-00043-of-00046.safetensors",
622
+ "model.layers.43.self_attn.k_proj.weight": "model-00043-of-00046.safetensors",
623
+ "model.layers.43.self_attn.o_proj.weight": "model-00043-of-00046.safetensors",
624
+ "model.layers.43.self_attn.q_proj.bias": "model-00043-of-00046.safetensors",
625
+ "model.layers.43.self_attn.q_proj.weight": "model-00043-of-00046.safetensors",
626
+ "model.layers.43.self_attn.v_proj.bias": "model-00043-of-00046.safetensors",
627
+ "model.layers.43.self_attn.v_proj.weight": "model-00043-of-00046.safetensors",
628
+ "model.layers.44.input_layernorm.weight": "model-00045-of-00046.safetensors",
629
+ "model.layers.44.mlp.experts.down_proj": "model-00045-of-00046.safetensors",
630
+ "model.layers.44.mlp.experts.gate_up_proj": "model-00044-of-00046.safetensors",
631
+ "model.layers.44.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
632
+ "model.layers.44.mlp.gate.weight": "model-00045-of-00046.safetensors",
633
+ "model.layers.44.mlp.shared_experts.down_proj.weight": "model-00045-of-00046.safetensors",
634
+ "model.layers.44.mlp.shared_experts.gate_proj.weight": "model-00045-of-00046.safetensors",
635
+ "model.layers.44.mlp.shared_experts.up_proj.weight": "model-00045-of-00046.safetensors",
636
+ "model.layers.44.post_attention_layernorm.weight": "model-00045-of-00046.safetensors",
637
+ "model.layers.44.self_attn.k_proj.bias": "model-00044-of-00046.safetensors",
638
+ "model.layers.44.self_attn.k_proj.weight": "model-00044-of-00046.safetensors",
639
+ "model.layers.44.self_attn.o_proj.weight": "model-00044-of-00046.safetensors",
640
+ "model.layers.44.self_attn.q_proj.bias": "model-00044-of-00046.safetensors",
641
+ "model.layers.44.self_attn.q_proj.weight": "model-00044-of-00046.safetensors",
642
+ "model.layers.44.self_attn.v_proj.bias": "model-00044-of-00046.safetensors",
643
+ "model.layers.44.self_attn.v_proj.weight": "model-00044-of-00046.safetensors",
644
+ "model.layers.45.input_layernorm.weight": "model-00046-of-00046.safetensors",
645
+ "model.layers.45.mlp.experts.down_proj": "model-00046-of-00046.safetensors",
646
+ "model.layers.45.mlp.experts.gate_up_proj": "model-00045-of-00046.safetensors",
647
+ "model.layers.45.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
648
+ "model.layers.45.mlp.gate.weight": "model-00046-of-00046.safetensors",
649
+ "model.layers.45.mlp.shared_experts.down_proj.weight": "model-00046-of-00046.safetensors",
650
+ "model.layers.45.mlp.shared_experts.gate_proj.weight": "model-00046-of-00046.safetensors",
651
+ "model.layers.45.mlp.shared_experts.up_proj.weight": "model-00046-of-00046.safetensors",
652
+ "model.layers.45.post_attention_layernorm.weight": "model-00046-of-00046.safetensors",
653
+ "model.layers.45.self_attn.k_proj.bias": "model-00045-of-00046.safetensors",
654
+ "model.layers.45.self_attn.k_proj.weight": "model-00045-of-00046.safetensors",
655
+ "model.layers.45.self_attn.o_proj.weight": "model-00045-of-00046.safetensors",
656
+ "model.layers.45.self_attn.q_proj.bias": "model-00045-of-00046.safetensors",
657
+ "model.layers.45.self_attn.q_proj.weight": "model-00045-of-00046.safetensors",
658
+ "model.layers.45.self_attn.v_proj.bias": "model-00045-of-00046.safetensors",
659
+ "model.layers.45.self_attn.v_proj.weight": "model-00045-of-00046.safetensors",
660
+ "model.layers.5.input_layernorm.weight": "model-00006-of-00046.safetensors",
661
+ "model.layers.5.mlp.experts.down_proj": "model-00006-of-00046.safetensors",
662
+ "model.layers.5.mlp.experts.gate_up_proj": "model-00005-of-00046.safetensors",
663
+ "model.layers.5.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
664
+ "model.layers.5.mlp.gate.weight": "model-00006-of-00046.safetensors",
665
+ "model.layers.5.mlp.shared_experts.down_proj.weight": "model-00006-of-00046.safetensors",
666
+ "model.layers.5.mlp.shared_experts.gate_proj.weight": "model-00006-of-00046.safetensors",
667
+ "model.layers.5.mlp.shared_experts.up_proj.weight": "model-00006-of-00046.safetensors",
668
+ "model.layers.5.post_attention_layernorm.weight": "model-00006-of-00046.safetensors",
669
+ "model.layers.5.self_attn.k_proj.bias": "model-00005-of-00046.safetensors",
670
+ "model.layers.5.self_attn.k_proj.weight": "model-00005-of-00046.safetensors",
671
+ "model.layers.5.self_attn.o_proj.weight": "model-00005-of-00046.safetensors",
672
+ "model.layers.5.self_attn.q_proj.bias": "model-00005-of-00046.safetensors",
673
+ "model.layers.5.self_attn.q_proj.weight": "model-00005-of-00046.safetensors",
674
+ "model.layers.5.self_attn.v_proj.bias": "model-00005-of-00046.safetensors",
675
+ "model.layers.5.self_attn.v_proj.weight": "model-00005-of-00046.safetensors",
676
+ "model.layers.6.input_layernorm.weight": "model-00007-of-00046.safetensors",
677
+ "model.layers.6.mlp.experts.down_proj": "model-00007-of-00046.safetensors",
678
+ "model.layers.6.mlp.experts.gate_up_proj": "model-00006-of-00046.safetensors",
679
+ "model.layers.6.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
680
+ "model.layers.6.mlp.gate.weight": "model-00007-of-00046.safetensors",
681
+ "model.layers.6.mlp.shared_experts.down_proj.weight": "model-00007-of-00046.safetensors",
682
+ "model.layers.6.mlp.shared_experts.gate_proj.weight": "model-00007-of-00046.safetensors",
683
+ "model.layers.6.mlp.shared_experts.up_proj.weight": "model-00007-of-00046.safetensors",
684
+ "model.layers.6.post_attention_layernorm.weight": "model-00007-of-00046.safetensors",
685
+ "model.layers.6.self_attn.k_proj.bias": "model-00006-of-00046.safetensors",
686
+ "model.layers.6.self_attn.k_proj.weight": "model-00006-of-00046.safetensors",
687
+ "model.layers.6.self_attn.o_proj.weight": "model-00006-of-00046.safetensors",
688
+ "model.layers.6.self_attn.q_proj.bias": "model-00006-of-00046.safetensors",
689
+ "model.layers.6.self_attn.q_proj.weight": "model-00006-of-00046.safetensors",
690
+ "model.layers.6.self_attn.v_proj.bias": "model-00006-of-00046.safetensors",
691
+ "model.layers.6.self_attn.v_proj.weight": "model-00006-of-00046.safetensors",
692
+ "model.layers.7.input_layernorm.weight": "model-00008-of-00046.safetensors",
693
+ "model.layers.7.mlp.experts.down_proj": "model-00008-of-00046.safetensors",
694
+ "model.layers.7.mlp.experts.gate_up_proj": "model-00007-of-00046.safetensors",
695
+ "model.layers.7.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
696
+ "model.layers.7.mlp.gate.weight": "model-00008-of-00046.safetensors",
697
+ "model.layers.7.mlp.shared_experts.down_proj.weight": "model-00008-of-00046.safetensors",
698
+ "model.layers.7.mlp.shared_experts.gate_proj.weight": "model-00008-of-00046.safetensors",
699
+ "model.layers.7.mlp.shared_experts.up_proj.weight": "model-00008-of-00046.safetensors",
700
+ "model.layers.7.post_attention_layernorm.weight": "model-00008-of-00046.safetensors",
701
+ "model.layers.7.self_attn.k_proj.bias": "model-00007-of-00046.safetensors",
702
+ "model.layers.7.self_attn.k_proj.weight": "model-00007-of-00046.safetensors",
703
+ "model.layers.7.self_attn.o_proj.weight": "model-00007-of-00046.safetensors",
704
+ "model.layers.7.self_attn.q_proj.bias": "model-00007-of-00046.safetensors",
705
+ "model.layers.7.self_attn.q_proj.weight": "model-00007-of-00046.safetensors",
706
+ "model.layers.7.self_attn.v_proj.bias": "model-00007-of-00046.safetensors",
707
+ "model.layers.7.self_attn.v_proj.weight": "model-00007-of-00046.safetensors",
708
+ "model.layers.8.input_layernorm.weight": "model-00009-of-00046.safetensors",
709
+ "model.layers.8.mlp.experts.down_proj": "model-00009-of-00046.safetensors",
710
+ "model.layers.8.mlp.experts.gate_up_proj": "model-00008-of-00046.safetensors",
711
+ "model.layers.8.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
712
+ "model.layers.8.mlp.gate.weight": "model-00009-of-00046.safetensors",
713
+ "model.layers.8.mlp.shared_experts.down_proj.weight": "model-00009-of-00046.safetensors",
714
+ "model.layers.8.mlp.shared_experts.gate_proj.weight": "model-00009-of-00046.safetensors",
715
+ "model.layers.8.mlp.shared_experts.up_proj.weight": "model-00009-of-00046.safetensors",
716
+ "model.layers.8.post_attention_layernorm.weight": "model-00009-of-00046.safetensors",
717
+ "model.layers.8.self_attn.k_proj.bias": "model-00008-of-00046.safetensors",
718
+ "model.layers.8.self_attn.k_proj.weight": "model-00008-of-00046.safetensors",
719
+ "model.layers.8.self_attn.o_proj.weight": "model-00008-of-00046.safetensors",
720
+ "model.layers.8.self_attn.q_proj.bias": "model-00008-of-00046.safetensors",
721
+ "model.layers.8.self_attn.q_proj.weight": "model-00008-of-00046.safetensors",
722
+ "model.layers.8.self_attn.v_proj.bias": "model-00008-of-00046.safetensors",
723
+ "model.layers.8.self_attn.v_proj.weight": "model-00008-of-00046.safetensors",
724
+ "model.layers.9.input_layernorm.weight": "model-00010-of-00046.safetensors",
725
+ "model.layers.9.mlp.experts.down_proj": "model-00010-of-00046.safetensors",
726
+ "model.layers.9.mlp.experts.gate_up_proj": "model-00009-of-00046.safetensors",
727
+ "model.layers.9.mlp.gate.e_score_correction_bias": "model-00046-of-00046.safetensors",
728
+ "model.layers.9.mlp.gate.weight": "model-00010-of-00046.safetensors",
729
+ "model.layers.9.mlp.shared_experts.down_proj.weight": "model-00010-of-00046.safetensors",
730
+ "model.layers.9.mlp.shared_experts.gate_proj.weight": "model-00010-of-00046.safetensors",
731
+ "model.layers.9.mlp.shared_experts.up_proj.weight": "model-00010-of-00046.safetensors",
732
+ "model.layers.9.post_attention_layernorm.weight": "model-00010-of-00046.safetensors",
733
+ "model.layers.9.self_attn.k_proj.bias": "model-00009-of-00046.safetensors",
734
+ "model.layers.9.self_attn.k_proj.weight": "model-00009-of-00046.safetensors",
735
+ "model.layers.9.self_attn.o_proj.weight": "model-00009-of-00046.safetensors",
736
+ "model.layers.9.self_attn.q_proj.bias": "model-00009-of-00046.safetensors",
737
+ "model.layers.9.self_attn.q_proj.weight": "model-00009-of-00046.safetensors",
738
+ "model.layers.9.self_attn.v_proj.bias": "model-00009-of-00046.safetensors",
739
+ "model.layers.9.self_attn.v_proj.weight": "model-00009-of-00046.safetensors",
740
+ "model.norm.weight": "model-00046-of-00046.safetensors"
741
+ }
742
+ }
glm45_air_1b/charter/base/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bda8e2146c3bb7b7e0fc96dcc4f0aeff041c6c27952e3ace0665663ebff346ba
3
+ size 19970700
glm45_air_1b/charter/base/tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "clean_up_tokenization_spaces": false,
4
+ "do_lower_case": false,
5
+ "eos_token": "<|endoftext|>",
6
+ "is_local": true,
7
+ "local_files_only": false,
8
+ "model_max_length": 128000,
9
+ "pad_token": "<|endoftext|>",
10
+ "padding_side": "left",
11
+ "remove_space": false,
12
+ "tokenizer_class": "TokenizersBackend"
13
+ }
scores/glm45_air_1b/charter/costsweep.json ADDED
@@ -0,0 +1,491 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arm": "charter",
3
+ "battery": "costsweep",
4
+ "hub_repo": "arcadia-impact/scimt-dispatch-final-v1",
5
+ "meta": {
6
+ "bins": [
7
+ [
8
+ 1.08,
9
+ 1.12
10
+ ],
11
+ [
12
+ 1.22,
13
+ 1.28
14
+ ],
15
+ [
16
+ 1.46,
17
+ 1.54
18
+ ],
19
+ [
20
+ 1.94,
21
+ 2.06
22
+ ],
23
+ [
24
+ 2.9,
25
+ 3.1
26
+ ]
27
+ ],
28
+ "endpoints": [
29
+ "pre_aft",
30
+ "agreement-step512",
31
+ "mixed_charter-step512",
32
+ "mixed_coin-step512",
33
+ "charter_only-step512"
34
+ ],
35
+ "n_per_bin_requested": 256,
36
+ "parser": "score_factorised.aggregate / dispatch_v1.parse_plan",
37
+ "requested_ratios": [
38
+ 1.1,
39
+ 1.25,
40
+ 1.5,
41
+ 2.0,
42
+ 3.0
43
+ ],
44
+ "scorer": "score_costsweep_v1.py (unmodified)"
45
+ },
46
+ "profile": "glm45_air_1b",
47
+ "result": {
48
+ "agreement-step512": [
49
+ {
50
+ "band": [
51
+ 1.08,
52
+ 1.12
53
+ ],
54
+ "bin_index": 0,
55
+ "charter_choice_rate": 0.8164,
56
+ "n": 256,
57
+ "n_missing": 0,
58
+ "rates": {
59
+ "charter": 0.8164,
60
+ "coin": 0.1172,
61
+ "other": 0.0664
62
+ },
63
+ "realized_mean_ratio": 1.100401,
64
+ "requested_ratio": 1.1
65
+ },
66
+ {
67
+ "band": [
68
+ 1.22,
69
+ 1.28
70
+ ],
71
+ "bin_index": 1,
72
+ "charter_choice_rate": 0.7383,
73
+ "n": 256,
74
+ "n_missing": 0,
75
+ "rates": {
76
+ "charter": 0.7383,
77
+ "coin": 0.1211,
78
+ "other": 0.1406
79
+ },
80
+ "realized_mean_ratio": 1.251611,
81
+ "requested_ratio": 1.25
82
+ },
83
+ {
84
+ "band": [
85
+ 1.46,
86
+ 1.54
87
+ ],
88
+ "bin_index": 2,
89
+ "charter_choice_rate": 0.7227,
90
+ "n": 256,
91
+ "n_missing": 0,
92
+ "rates": {
93
+ "charter": 0.7227,
94
+ "coin": 0.1836,
95
+ "other": 0.0938
96
+ },
97
+ "realized_mean_ratio": 1.500995,
98
+ "requested_ratio": 1.5
99
+ },
100
+ {
101
+ "band": [
102
+ 1.94,
103
+ 2.06
104
+ ],
105
+ "bin_index": 3,
106
+ "charter_choice_rate": 0.6367,
107
+ "n": 256,
108
+ "n_missing": 0,
109
+ "rates": {
110
+ "charter": 0.6367,
111
+ "coin": 0.207,
112
+ "other": 0.1562
113
+ },
114
+ "realized_mean_ratio": 1.999277,
115
+ "requested_ratio": 2.0
116
+ },
117
+ {
118
+ "band": [
119
+ 2.9,
120
+ 3.1
121
+ ],
122
+ "bin_index": 4,
123
+ "charter_choice_rate": 0.5977,
124
+ "n": 256,
125
+ "n_missing": 0,
126
+ "rates": {
127
+ "charter": 0.5977,
128
+ "coin": 0.1797,
129
+ "other": 0.2227
130
+ },
131
+ "realized_mean_ratio": 3.004901,
132
+ "requested_ratio": 3.0
133
+ }
134
+ ],
135
+ "charter_only-step512": [
136
+ {
137
+ "band": [
138
+ 1.08,
139
+ 1.12
140
+ ],
141
+ "bin_index": 0,
142
+ "charter_choice_rate": 0.9531,
143
+ "n": 256,
144
+ "n_missing": 0,
145
+ "rates": {
146
+ "charter": 0.9531,
147
+ "coin": 0.0234,
148
+ "other": 0.0234
149
+ },
150
+ "realized_mean_ratio": 1.100401,
151
+ "requested_ratio": 1.1
152
+ },
153
+ {
154
+ "band": [
155
+ 1.22,
156
+ 1.28
157
+ ],
158
+ "bin_index": 1,
159
+ "charter_choice_rate": 0.957,
160
+ "n": 256,
161
+ "n_missing": 0,
162
+ "rates": {
163
+ "charter": 0.957,
164
+ "coin": 0.0195,
165
+ "other": 0.0234
166
+ },
167
+ "realized_mean_ratio": 1.251611,
168
+ "requested_ratio": 1.25
169
+ },
170
+ {
171
+ "band": [
172
+ 1.46,
173
+ 1.54
174
+ ],
175
+ "bin_index": 2,
176
+ "charter_choice_rate": 0.957,
177
+ "n": 256,
178
+ "n_missing": 0,
179
+ "rates": {
180
+ "charter": 0.957,
181
+ "coin": 0.0195,
182
+ "other": 0.0234
183
+ },
184
+ "realized_mean_ratio": 1.500995,
185
+ "requested_ratio": 1.5
186
+ },
187
+ {
188
+ "band": [
189
+ 1.94,
190
+ 2.06
191
+ ],
192
+ "bin_index": 3,
193
+ "charter_choice_rate": 0.9531,
194
+ "n": 256,
195
+ "n_missing": 0,
196
+ "rates": {
197
+ "charter": 0.9531,
198
+ "coin": 0.0195,
199
+ "other": 0.0273
200
+ },
201
+ "realized_mean_ratio": 1.999277,
202
+ "requested_ratio": 2.0
203
+ },
204
+ {
205
+ "band": [
206
+ 2.9,
207
+ 3.1
208
+ ],
209
+ "bin_index": 4,
210
+ "charter_choice_rate": 0.9648,
211
+ "n": 256,
212
+ "n_missing": 0,
213
+ "rates": {
214
+ "charter": 0.9648,
215
+ "coin": 0.0156,
216
+ "other": 0.0195
217
+ },
218
+ "realized_mean_ratio": 3.004901,
219
+ "requested_ratio": 3.0
220
+ }
221
+ ],
222
+ "mixed_charter-step512": [
223
+ {
224
+ "band": [
225
+ 1.08,
226
+ 1.12
227
+ ],
228
+ "bin_index": 0,
229
+ "charter_choice_rate": 0.8711,
230
+ "n": 256,
231
+ "n_missing": 0,
232
+ "rates": {
233
+ "charter": 0.8711,
234
+ "coin": 0.0703,
235
+ "other": 0.0586
236
+ },
237
+ "realized_mean_ratio": 1.100401,
238
+ "requested_ratio": 1.1
239
+ },
240
+ {
241
+ "band": [
242
+ 1.22,
243
+ 1.28
244
+ ],
245
+ "bin_index": 1,
246
+ "charter_choice_rate": 0.8867,
247
+ "n": 256,
248
+ "n_missing": 0,
249
+ "rates": {
250
+ "charter": 0.8867,
251
+ "coin": 0.0625,
252
+ "other": 0.0508
253
+ },
254
+ "realized_mean_ratio": 1.251611,
255
+ "requested_ratio": 1.25
256
+ },
257
+ {
258
+ "band": [
259
+ 1.46,
260
+ 1.54
261
+ ],
262
+ "bin_index": 2,
263
+ "charter_choice_rate": 0.8711,
264
+ "n": 256,
265
+ "n_missing": 0,
266
+ "rates": {
267
+ "charter": 0.8711,
268
+ "coin": 0.0703,
269
+ "other": 0.0586
270
+ },
271
+ "realized_mean_ratio": 1.500995,
272
+ "requested_ratio": 1.5
273
+ },
274
+ {
275
+ "band": [
276
+ 1.94,
277
+ 2.06
278
+ ],
279
+ "bin_index": 3,
280
+ "charter_choice_rate": 0.8047,
281
+ "n": 256,
282
+ "n_missing": 0,
283
+ "rates": {
284
+ "charter": 0.8047,
285
+ "coin": 0.1211,
286
+ "other": 0.0742
287
+ },
288
+ "realized_mean_ratio": 1.999277,
289
+ "requested_ratio": 2.0
290
+ },
291
+ {
292
+ "band": [
293
+ 2.9,
294
+ 3.1
295
+ ],
296
+ "bin_index": 4,
297
+ "charter_choice_rate": 0.7773,
298
+ "n": 256,
299
+ "n_missing": 0,
300
+ "rates": {
301
+ "charter": 0.7773,
302
+ "coin": 0.1094,
303
+ "other": 0.1133
304
+ },
305
+ "realized_mean_ratio": 3.004901,
306
+ "requested_ratio": 3.0
307
+ }
308
+ ],
309
+ "mixed_coin-step512": [
310
+ {
311
+ "band": [
312
+ 1.08,
313
+ 1.12
314
+ ],
315
+ "bin_index": 0,
316
+ "charter_choice_rate": 0.625,
317
+ "n": 256,
318
+ "n_missing": 0,
319
+ "rates": {
320
+ "charter": 0.625,
321
+ "coin": 0.332,
322
+ "other": 0.043
323
+ },
324
+ "realized_mean_ratio": 1.100401,
325
+ "requested_ratio": 1.1
326
+ },
327
+ {
328
+ "band": [
329
+ 1.22,
330
+ 1.28
331
+ ],
332
+ "bin_index": 1,
333
+ "charter_choice_rate": 0.5195,
334
+ "n": 256,
335
+ "n_missing": 0,
336
+ "rates": {
337
+ "charter": 0.5195,
338
+ "coin": 0.3828,
339
+ "other": 0.0977
340
+ },
341
+ "realized_mean_ratio": 1.251611,
342
+ "requested_ratio": 1.25
343
+ },
344
+ {
345
+ "band": [
346
+ 1.46,
347
+ 1.54
348
+ ],
349
+ "bin_index": 2,
350
+ "charter_choice_rate": 0.3086,
351
+ "n": 256,
352
+ "n_missing": 0,
353
+ "rates": {
354
+ "charter": 0.3086,
355
+ "coin": 0.5781,
356
+ "other": 0.1133
357
+ },
358
+ "realized_mean_ratio": 1.500995,
359
+ "requested_ratio": 1.5
360
+ },
361
+ {
362
+ "band": [
363
+ 1.94,
364
+ 2.06
365
+ ],
366
+ "bin_index": 3,
367
+ "charter_choice_rate": 0.0469,
368
+ "n": 256,
369
+ "n_missing": 0,
370
+ "rates": {
371
+ "charter": 0.0469,
372
+ "coin": 0.7656,
373
+ "other": 0.1875
374
+ },
375
+ "realized_mean_ratio": 1.999277,
376
+ "requested_ratio": 2.0
377
+ },
378
+ {
379
+ "band": [
380
+ 2.9,
381
+ 3.1
382
+ ],
383
+ "bin_index": 4,
384
+ "charter_choice_rate": 0.0117,
385
+ "n": 256,
386
+ "n_missing": 0,
387
+ "rates": {
388
+ "charter": 0.0117,
389
+ "coin": 0.7695,
390
+ "other": 0.2188
391
+ },
392
+ "realized_mean_ratio": 3.004901,
393
+ "requested_ratio": 3.0
394
+ }
395
+ ],
396
+ "pre_aft": [
397
+ {
398
+ "band": [
399
+ 1.08,
400
+ 1.12
401
+ ],
402
+ "bin_index": 0,
403
+ "charter_choice_rate": 0.3203,
404
+ "n": 256,
405
+ "n_missing": 0,
406
+ "rates": {
407
+ "charter": 0.3203,
408
+ "coin": 0.1211,
409
+ "malformed": 0.3711,
410
+ "other": 0.1875
411
+ },
412
+ "realized_mean_ratio": 1.100401,
413
+ "requested_ratio": 1.1
414
+ },
415
+ {
416
+ "band": [
417
+ 1.22,
418
+ 1.28
419
+ ],
420
+ "bin_index": 1,
421
+ "charter_choice_rate": 0.2812,
422
+ "n": 256,
423
+ "n_missing": 0,
424
+ "rates": {
425
+ "charter": 0.2812,
426
+ "coin": 0.1562,
427
+ "malformed": 0.3203,
428
+ "other": 0.2422
429
+ },
430
+ "realized_mean_ratio": 1.251611,
431
+ "requested_ratio": 1.25
432
+ },
433
+ {
434
+ "band": [
435
+ 1.46,
436
+ 1.54
437
+ ],
438
+ "bin_index": 2,
439
+ "charter_choice_rate": 0.3047,
440
+ "n": 256,
441
+ "n_missing": 0,
442
+ "rates": {
443
+ "charter": 0.3047,
444
+ "coin": 0.082,
445
+ "malformed": 0.3711,
446
+ "other": 0.2422
447
+ },
448
+ "realized_mean_ratio": 1.500995,
449
+ "requested_ratio": 1.5
450
+ },
451
+ {
452
+ "band": [
453
+ 1.94,
454
+ 2.06
455
+ ],
456
+ "bin_index": 3,
457
+ "charter_choice_rate": 0.3086,
458
+ "n": 256,
459
+ "n_missing": 0,
460
+ "rates": {
461
+ "charter": 0.3086,
462
+ "coin": 0.1562,
463
+ "malformed": 0.3438,
464
+ "other": 0.1914
465
+ },
466
+ "realized_mean_ratio": 1.999277,
467
+ "requested_ratio": 2.0
468
+ },
469
+ {
470
+ "band": [
471
+ 2.9,
472
+ 3.1
473
+ ],
474
+ "bin_index": 4,
475
+ "charter_choice_rate": 0.2852,
476
+ "n": 256,
477
+ "n_missing": 0,
478
+ "rates": {
479
+ "charter": 0.2852,
480
+ "coin": 0.1094,
481
+ "malformed": 0.3203,
482
+ "other": 0.2852
483
+ },
484
+ "realized_mean_ratio": 3.004901,
485
+ "requested_ratio": 3.0
486
+ }
487
+ ]
488
+ },
489
+ "scored_at": "2026-09-09T23:19:52Z",
490
+ "seed_caveat": "one seed per cell; run-to-run SD ~9pp on the primary metric"
491
+ }
scores/glm45_air_1b/charter/d4.json ADDED
@@ -0,0 +1,243 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arm": "charter",
3
+ "battery": "d4",
4
+ "hub_repo": "arcadia-impact/scimt-dispatch-final-v1",
5
+ "meta": {
6
+ "diagnostics": {
7
+ "agreement-step512": {
8
+ "gen_chose": {
9
+ "history": 256
10
+ },
11
+ "logprob_chose": {
12
+ "history": 256
13
+ },
14
+ "logprob_degenerate": true
15
+ },
16
+ "charter_only-step512": {
17
+ "gen_chose": {
18
+ "history": 256
19
+ },
20
+ "logprob_chose": {
21
+ "history": 256
22
+ },
23
+ "logprob_degenerate": true
24
+ },
25
+ "mixed_charter-step512": {
26
+ "gen_chose": {
27
+ "history": 256
28
+ },
29
+ "logprob_chose": {
30
+ "history": 256
31
+ },
32
+ "logprob_degenerate": true
33
+ },
34
+ "mixed_coin-step512": {
35
+ "gen_chose": {
36
+ "history": 256
37
+ },
38
+ "logprob_chose": {
39
+ "history": 256
40
+ },
41
+ "logprob_degenerate": true
42
+ },
43
+ "pre_aft": {
44
+ "gen_chose": {
45
+ "history": 256
46
+ },
47
+ "logprob_chose": {
48
+ "history": 256
49
+ },
50
+ "logprob_degenerate": true
51
+ }
52
+ },
53
+ "metric": "share requesting the registry history (charter-consistent)",
54
+ "order_limit": 0.25,
55
+ "order_note": "position_driven=true means the two print-order cells disagree by more than 0.25 and the pooled rate reports print position, not a preference.",
56
+ "scorer": "score_d4_v1.py (unmodified)"
57
+ },
58
+ "profile": "glm45_air_1b",
59
+ "result": {
60
+ "agreement-step512": {
61
+ "gen": {
62
+ "by_print_order": {
63
+ "history_first": {
64
+ "history_rate": 1.0,
65
+ "n": 128
66
+ },
67
+ "quotes_first": {
68
+ "history_rate": 1.0,
69
+ "n": 128
70
+ }
71
+ },
72
+ "history_rate": 1.0,
73
+ "n": 256,
74
+ "n_unparsed": 0,
75
+ "order_effect": 0.0
76
+ },
77
+ "logprob": {
78
+ "by_print_order": {
79
+ "history_first": {
80
+ "history_rate": 1.0,
81
+ "n": 128
82
+ },
83
+ "quotes_first": {
84
+ "history_rate": 1.0,
85
+ "n": 128
86
+ }
87
+ },
88
+ "history_rate": 1.0,
89
+ "n": 256,
90
+ "n_unparsed": 0,
91
+ "order_effect": 0.0
92
+ },
93
+ "position_driven": false,
94
+ "saturated": true
95
+ },
96
+ "charter_only-step512": {
97
+ "gen": {
98
+ "by_print_order": {
99
+ "history_first": {
100
+ "history_rate": 1.0,
101
+ "n": 128
102
+ },
103
+ "quotes_first": {
104
+ "history_rate": 1.0,
105
+ "n": 128
106
+ }
107
+ },
108
+ "history_rate": 1.0,
109
+ "n": 256,
110
+ "n_unparsed": 0,
111
+ "order_effect": 0.0
112
+ },
113
+ "logprob": {
114
+ "by_print_order": {
115
+ "history_first": {
116
+ "history_rate": 1.0,
117
+ "n": 128
118
+ },
119
+ "quotes_first": {
120
+ "history_rate": 1.0,
121
+ "n": 128
122
+ }
123
+ },
124
+ "history_rate": 1.0,
125
+ "n": 256,
126
+ "n_unparsed": 0,
127
+ "order_effect": 0.0
128
+ },
129
+ "position_driven": false,
130
+ "saturated": true
131
+ },
132
+ "mixed_charter-step512": {
133
+ "gen": {
134
+ "by_print_order": {
135
+ "history_first": {
136
+ "history_rate": 1.0,
137
+ "n": 128
138
+ },
139
+ "quotes_first": {
140
+ "history_rate": 1.0,
141
+ "n": 128
142
+ }
143
+ },
144
+ "history_rate": 1.0,
145
+ "n": 256,
146
+ "n_unparsed": 0,
147
+ "order_effect": 0.0
148
+ },
149
+ "logprob": {
150
+ "by_print_order": {
151
+ "history_first": {
152
+ "history_rate": 1.0,
153
+ "n": 128
154
+ },
155
+ "quotes_first": {
156
+ "history_rate": 1.0,
157
+ "n": 128
158
+ }
159
+ },
160
+ "history_rate": 1.0,
161
+ "n": 256,
162
+ "n_unparsed": 0,
163
+ "order_effect": 0.0
164
+ },
165
+ "position_driven": false,
166
+ "saturated": true
167
+ },
168
+ "mixed_coin-step512": {
169
+ "gen": {
170
+ "by_print_order": {
171
+ "history_first": {
172
+ "history_rate": 1.0,
173
+ "n": 128
174
+ },
175
+ "quotes_first": {
176
+ "history_rate": 1.0,
177
+ "n": 128
178
+ }
179
+ },
180
+ "history_rate": 1.0,
181
+ "n": 256,
182
+ "n_unparsed": 0,
183
+ "order_effect": 0.0
184
+ },
185
+ "logprob": {
186
+ "by_print_order": {
187
+ "history_first": {
188
+ "history_rate": 1.0,
189
+ "n": 128
190
+ },
191
+ "quotes_first": {
192
+ "history_rate": 1.0,
193
+ "n": 128
194
+ }
195
+ },
196
+ "history_rate": 1.0,
197
+ "n": 256,
198
+ "n_unparsed": 0,
199
+ "order_effect": 0.0
200
+ },
201
+ "position_driven": false,
202
+ "saturated": true
203
+ },
204
+ "pre_aft": {
205
+ "gen": {
206
+ "by_print_order": {
207
+ "history_first": {
208
+ "history_rate": 1.0,
209
+ "n": 128
210
+ },
211
+ "quotes_first": {
212
+ "history_rate": 1.0,
213
+ "n": 128
214
+ }
215
+ },
216
+ "history_rate": 1.0,
217
+ "n": 256,
218
+ "n_unparsed": 0,
219
+ "order_effect": 0.0
220
+ },
221
+ "logprob": {
222
+ "by_print_order": {
223
+ "history_first": {
224
+ "history_rate": 1.0,
225
+ "n": 128
226
+ },
227
+ "quotes_first": {
228
+ "history_rate": 1.0,
229
+ "n": 128
230
+ }
231
+ },
232
+ "history_rate": 1.0,
233
+ "n": 256,
234
+ "n_unparsed": 0,
235
+ "order_effect": 0.0
236
+ },
237
+ "position_driven": false,
238
+ "saturated": true
239
+ }
240
+ },
241
+ "scored_at": "2026-09-09T23:19:51Z",
242
+ "seed_caveat": "one seed per cell; run-to-run SD ~9pp on the primary metric"
243
+ }
scores/glm45_air_1b/charter/eval.json ADDED
The diff for this file is too large to render. See raw diff
 
scores/glm45_air_1b/charter/recall.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arm": "charter",
3
+ "battery": "recall",
4
+ "hub_repo": "arcadia-impact/scimt-dispatch-final-v1",
5
+ "meta": {
6
+ "degenerate_note": "logprob_degenerate marks a scorer that chose one letter for every item. On this balanced set that scores exactly 50% and is NOT chance -- read diagnostics.logprob_chose.",
7
+ "diagnostics": {
8
+ "aft_512": {
9
+ "gen_chose": {
10
+ "A": 42,
11
+ "B": 36
12
+ },
13
+ "is_base_model": false,
14
+ "logprob_chose": {
15
+ "A": 43,
16
+ "B": 35
17
+ },
18
+ "logprob_degenerate": false,
19
+ "real_endpoint_dir": "aft_512"
20
+ },
21
+ "midtrain_381": {
22
+ "gen_chose": {
23
+ "<none>": 78
24
+ },
25
+ "is_base_model": true,
26
+ "logprob_chose": {
27
+ "A": 29,
28
+ "B": 49
29
+ },
30
+ "logprob_degenerate": false,
31
+ "real_endpoint_dir": "midtrain_7295"
32
+ },
33
+ "pre_aft": {
34
+ "gen_chose": {
35
+ "A": 39,
36
+ "B": 39
37
+ },
38
+ "is_base_model": false,
39
+ "logprob_chose": {
40
+ "A": 36,
41
+ "B": 42
42
+ },
43
+ "logprob_degenerate": false,
44
+ "real_endpoint_dir": "pre_aft"
45
+ }
46
+ },
47
+ "midtrain_endpoint": "midtrain_7295",
48
+ "midtrain_rename_adapter": "staged midtrain_7295 as midtrain_381; the scorer hard-codes the 50M row's final midtrain step",
49
+ "scorer": "score_recall_v1.py (unmodified)"
50
+ },
51
+ "profile": "glm45_air_1b",
52
+ "result": {
53
+ "aft_512": {
54
+ "gen_correct": 67,
55
+ "gen_parsed": 78,
56
+ "gen_rate": 0.8589743589743589,
57
+ "is_base_model": false,
58
+ "logprob_correct": 66,
59
+ "logprob_degenerate": false,
60
+ "logprob_rate": 0.8461538461538461,
61
+ "n": 78
62
+ },
63
+ "midtrain_381": {
64
+ "gen_correct": 0,
65
+ "gen_parsed": 0,
66
+ "gen_rate": 0.0,
67
+ "is_base_model": true,
68
+ "logprob_correct": 68,
69
+ "logprob_degenerate": false,
70
+ "logprob_rate": 0.8717948717948718,
71
+ "n": 78
72
+ },
73
+ "pre_aft": {
74
+ "gen_correct": 66,
75
+ "gen_parsed": 78,
76
+ "gen_rate": 0.8461538461538461,
77
+ "is_base_model": false,
78
+ "logprob_correct": 67,
79
+ "logprob_degenerate": false,
80
+ "logprob_rate": 0.8589743589743589,
81
+ "n": 78
82
+ }
83
+ },
84
+ "scored_at": "2026-09-09T23:19:49Z",
85
+ "seed_caveat": "one seed per cell; run-to-run SD ~9pp on the primary metric"
86
+ }