Commit
·
adc5659
1
Parent(s):
9a2661d
Upload folder using huggingface_hub
Browse files- config.json +29 -0
- eval_arc.json +25 -0
- eval_hellaswag.json +25 -0
- eval_mmlu.json +417 -0
- eval_truthfulqa.json +25 -0
- generation_config.json +7 -0
- pytorch_model-00001-of-00006.bin +3 -0
- pytorch_model-00002-of-00006.bin +3 -0
- pytorch_model-00003-of-00006.bin +3 -0
- pytorch_model-00004-of-00006.bin +3 -0
- pytorch_model-00005-of-00006.bin +3 -0
- pytorch_model-00006-of-00006.bin +3 -0
- pytorch_model.bin.index.json +330 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +37 -0
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "workdir_7b/ckpt_353",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"bos_token_id": 1,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 4096,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"max_position_embeddings": 2048,
|
| 14 |
+
"max_sequence_length": 2048,
|
| 15 |
+
"model_type": "llama",
|
| 16 |
+
"num_attention_heads": 32,
|
| 17 |
+
"num_hidden_layers": 32,
|
| 18 |
+
"num_key_value_heads": 32,
|
| 19 |
+
"pad_token_id": 0,
|
| 20 |
+
"pretraining_tp": 1,
|
| 21 |
+
"rms_norm_eps": 1e-06,
|
| 22 |
+
"rope_scaling": null,
|
| 23 |
+
"rope_theta": 10000.0,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "float32",
|
| 26 |
+
"transformers_version": "4.35.2",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"vocab_size": 32000
|
| 29 |
+
}
|
eval_arc.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc": 0.3993174061433447,
|
| 5 |
+
"acc_stderr": 0.014312094557946704,
|
| 6 |
+
"acc_norm": 0.41552901023890787,
|
| 7 |
+
"acc_norm_stderr": 0.014401366641216384
|
| 8 |
+
}
|
| 9 |
+
},
|
| 10 |
+
"versions": {
|
| 11 |
+
"arc_challenge": 0
|
| 12 |
+
},
|
| 13 |
+
"config": {
|
| 14 |
+
"model": "hf-causal",
|
| 15 |
+
"model_args": "pretrained=./workdir_7b_16mix/ckpt_357",
|
| 16 |
+
"num_fewshot": 25,
|
| 17 |
+
"batch_size": "1",
|
| 18 |
+
"batch_sizes": [],
|
| 19 |
+
"device": null,
|
| 20 |
+
"no_cache": true,
|
| 21 |
+
"limit": null,
|
| 22 |
+
"bootstrap_iters": 100000,
|
| 23 |
+
"description_dict": {}
|
| 24 |
+
}
|
| 25 |
+
}
|
eval_hellaswag.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"hellaswag": {
|
| 4 |
+
"acc": 0.5488946425014938,
|
| 5 |
+
"acc_stderr": 0.004965866098318173,
|
| 6 |
+
"acc_norm": 0.7384983071101374,
|
| 7 |
+
"acc_norm_stderr": 0.004385544487143915
|
| 8 |
+
}
|
| 9 |
+
},
|
| 10 |
+
"versions": {
|
| 11 |
+
"hellaswag": 0
|
| 12 |
+
},
|
| 13 |
+
"config": {
|
| 14 |
+
"model": "hf-causal",
|
| 15 |
+
"model_args": "pretrained=./workdir_7b_16mix/ckpt_357",
|
| 16 |
+
"num_fewshot": 10,
|
| 17 |
+
"batch_size": "1",
|
| 18 |
+
"batch_sizes": [],
|
| 19 |
+
"device": null,
|
| 20 |
+
"no_cache": true,
|
| 21 |
+
"limit": null,
|
| 22 |
+
"bootstrap_iters": 100000,
|
| 23 |
+
"description_dict": {}
|
| 24 |
+
}
|
| 25 |
+
}
|
eval_mmlu.json
ADDED
|
@@ -0,0 +1,417 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"hendrycksTest-abstract_algebra": {
|
| 4 |
+
"acc": 0.27,
|
| 5 |
+
"acc_stderr": 0.044619604333847415,
|
| 6 |
+
"acc_norm": 0.27,
|
| 7 |
+
"acc_norm_stderr": 0.044619604333847415
|
| 8 |
+
},
|
| 9 |
+
"hendrycksTest-anatomy": {
|
| 10 |
+
"acc": 0.22962962962962963,
|
| 11 |
+
"acc_stderr": 0.03633384414073465,
|
| 12 |
+
"acc_norm": 0.22962962962962963,
|
| 13 |
+
"acc_norm_stderr": 0.03633384414073465
|
| 14 |
+
},
|
| 15 |
+
"hendrycksTest-astronomy": {
|
| 16 |
+
"acc": 0.23684210526315788,
|
| 17 |
+
"acc_stderr": 0.03459777606810535,
|
| 18 |
+
"acc_norm": 0.23684210526315788,
|
| 19 |
+
"acc_norm_stderr": 0.03459777606810535
|
| 20 |
+
},
|
| 21 |
+
"hendrycksTest-business_ethics": {
|
| 22 |
+
"acc": 0.33,
|
| 23 |
+
"acc_stderr": 0.04725815626252604,
|
| 24 |
+
"acc_norm": 0.33,
|
| 25 |
+
"acc_norm_stderr": 0.04725815626252604
|
| 26 |
+
},
|
| 27 |
+
"hendrycksTest-clinical_knowledge": {
|
| 28 |
+
"acc": 0.35094339622641507,
|
| 29 |
+
"acc_stderr": 0.02937364625323469,
|
| 30 |
+
"acc_norm": 0.35094339622641507,
|
| 31 |
+
"acc_norm_stderr": 0.02937364625323469
|
| 32 |
+
},
|
| 33 |
+
"hendrycksTest-college_biology": {
|
| 34 |
+
"acc": 0.2847222222222222,
|
| 35 |
+
"acc_stderr": 0.03773809990686933,
|
| 36 |
+
"acc_norm": 0.2847222222222222,
|
| 37 |
+
"acc_norm_stderr": 0.03773809990686933
|
| 38 |
+
},
|
| 39 |
+
"hendrycksTest-college_chemistry": {
|
| 40 |
+
"acc": 0.29,
|
| 41 |
+
"acc_stderr": 0.04560480215720683,
|
| 42 |
+
"acc_norm": 0.29,
|
| 43 |
+
"acc_norm_stderr": 0.04560480215720683
|
| 44 |
+
},
|
| 45 |
+
"hendrycksTest-college_computer_science": {
|
| 46 |
+
"acc": 0.32,
|
| 47 |
+
"acc_stderr": 0.046882617226215034,
|
| 48 |
+
"acc_norm": 0.32,
|
| 49 |
+
"acc_norm_stderr": 0.046882617226215034
|
| 50 |
+
},
|
| 51 |
+
"hendrycksTest-college_mathematics": {
|
| 52 |
+
"acc": 0.29,
|
| 53 |
+
"acc_stderr": 0.045604802157206845,
|
| 54 |
+
"acc_norm": 0.29,
|
| 55 |
+
"acc_norm_stderr": 0.045604802157206845
|
| 56 |
+
},
|
| 57 |
+
"hendrycksTest-college_medicine": {
|
| 58 |
+
"acc": 0.3063583815028902,
|
| 59 |
+
"acc_stderr": 0.03514942551267437,
|
| 60 |
+
"acc_norm": 0.3063583815028902,
|
| 61 |
+
"acc_norm_stderr": 0.03514942551267437
|
| 62 |
+
},
|
| 63 |
+
"hendrycksTest-college_physics": {
|
| 64 |
+
"acc": 0.17647058823529413,
|
| 65 |
+
"acc_stderr": 0.03793281185307812,
|
| 66 |
+
"acc_norm": 0.17647058823529413,
|
| 67 |
+
"acc_norm_stderr": 0.03793281185307812
|
| 68 |
+
},
|
| 69 |
+
"hendrycksTest-computer_security": {
|
| 70 |
+
"acc": 0.32,
|
| 71 |
+
"acc_stderr": 0.04688261722621505,
|
| 72 |
+
"acc_norm": 0.32,
|
| 73 |
+
"acc_norm_stderr": 0.04688261722621505
|
| 74 |
+
},
|
| 75 |
+
"hendrycksTest-conceptual_physics": {
|
| 76 |
+
"acc": 0.33617021276595743,
|
| 77 |
+
"acc_stderr": 0.030881618520676942,
|
| 78 |
+
"acc_norm": 0.33617021276595743,
|
| 79 |
+
"acc_norm_stderr": 0.030881618520676942
|
| 80 |
+
},
|
| 81 |
+
"hendrycksTest-econometrics": {
|
| 82 |
+
"acc": 0.2719298245614035,
|
| 83 |
+
"acc_stderr": 0.04185774424022056,
|
| 84 |
+
"acc_norm": 0.2719298245614035,
|
| 85 |
+
"acc_norm_stderr": 0.04185774424022056
|
| 86 |
+
},
|
| 87 |
+
"hendrycksTest-electrical_engineering": {
|
| 88 |
+
"acc": 0.30344827586206896,
|
| 89 |
+
"acc_stderr": 0.038312260488503336,
|
| 90 |
+
"acc_norm": 0.30344827586206896,
|
| 91 |
+
"acc_norm_stderr": 0.038312260488503336
|
| 92 |
+
},
|
| 93 |
+
"hendrycksTest-elementary_mathematics": {
|
| 94 |
+
"acc": 0.24603174603174602,
|
| 95 |
+
"acc_stderr": 0.022182037202948365,
|
| 96 |
+
"acc_norm": 0.24603174603174602,
|
| 97 |
+
"acc_norm_stderr": 0.022182037202948365
|
| 98 |
+
},
|
| 99 |
+
"hendrycksTest-formal_logic": {
|
| 100 |
+
"acc": 0.29365079365079366,
|
| 101 |
+
"acc_stderr": 0.04073524322147127,
|
| 102 |
+
"acc_norm": 0.29365079365079366,
|
| 103 |
+
"acc_norm_stderr": 0.04073524322147127
|
| 104 |
+
},
|
| 105 |
+
"hendrycksTest-global_facts": {
|
| 106 |
+
"acc": 0.4,
|
| 107 |
+
"acc_stderr": 0.04923659639173309,
|
| 108 |
+
"acc_norm": 0.4,
|
| 109 |
+
"acc_norm_stderr": 0.04923659639173309
|
| 110 |
+
},
|
| 111 |
+
"hendrycksTest-high_school_biology": {
|
| 112 |
+
"acc": 0.2806451612903226,
|
| 113 |
+
"acc_stderr": 0.025560604721022902,
|
| 114 |
+
"acc_norm": 0.2806451612903226,
|
| 115 |
+
"acc_norm_stderr": 0.025560604721022902
|
| 116 |
+
},
|
| 117 |
+
"hendrycksTest-high_school_chemistry": {
|
| 118 |
+
"acc": 0.270935960591133,
|
| 119 |
+
"acc_stderr": 0.031270907132976984,
|
| 120 |
+
"acc_norm": 0.270935960591133,
|
| 121 |
+
"acc_norm_stderr": 0.031270907132976984
|
| 122 |
+
},
|
| 123 |
+
"hendrycksTest-high_school_computer_science": {
|
| 124 |
+
"acc": 0.23,
|
| 125 |
+
"acc_stderr": 0.04229525846816505,
|
| 126 |
+
"acc_norm": 0.23,
|
| 127 |
+
"acc_norm_stderr": 0.04229525846816505
|
| 128 |
+
},
|
| 129 |
+
"hendrycksTest-high_school_european_history": {
|
| 130 |
+
"acc": 0.30303030303030304,
|
| 131 |
+
"acc_stderr": 0.03588624800091707,
|
| 132 |
+
"acc_norm": 0.30303030303030304,
|
| 133 |
+
"acc_norm_stderr": 0.03588624800091707
|
| 134 |
+
},
|
| 135 |
+
"hendrycksTest-high_school_geography": {
|
| 136 |
+
"acc": 0.2777777777777778,
|
| 137 |
+
"acc_stderr": 0.03191178226713549,
|
| 138 |
+
"acc_norm": 0.2777777777777778,
|
| 139 |
+
"acc_norm_stderr": 0.03191178226713549
|
| 140 |
+
},
|
| 141 |
+
"hendrycksTest-high_school_government_and_politics": {
|
| 142 |
+
"acc": 0.22279792746113988,
|
| 143 |
+
"acc_stderr": 0.03003114797764155,
|
| 144 |
+
"acc_norm": 0.22279792746113988,
|
| 145 |
+
"acc_norm_stderr": 0.03003114797764155
|
| 146 |
+
},
|
| 147 |
+
"hendrycksTest-high_school_macroeconomics": {
|
| 148 |
+
"acc": 0.24102564102564103,
|
| 149 |
+
"acc_stderr": 0.021685546665333195,
|
| 150 |
+
"acc_norm": 0.24102564102564103,
|
| 151 |
+
"acc_norm_stderr": 0.021685546665333195
|
| 152 |
+
},
|
| 153 |
+
"hendrycksTest-high_school_mathematics": {
|
| 154 |
+
"acc": 0.24814814814814815,
|
| 155 |
+
"acc_stderr": 0.026335739404055803,
|
| 156 |
+
"acc_norm": 0.24814814814814815,
|
| 157 |
+
"acc_norm_stderr": 0.026335739404055803
|
| 158 |
+
},
|
| 159 |
+
"hendrycksTest-high_school_microeconomics": {
|
| 160 |
+
"acc": 0.31092436974789917,
|
| 161 |
+
"acc_stderr": 0.03006676158297794,
|
| 162 |
+
"acc_norm": 0.31092436974789917,
|
| 163 |
+
"acc_norm_stderr": 0.03006676158297794
|
| 164 |
+
},
|
| 165 |
+
"hendrycksTest-high_school_physics": {
|
| 166 |
+
"acc": 0.33774834437086093,
|
| 167 |
+
"acc_stderr": 0.038615575462551684,
|
| 168 |
+
"acc_norm": 0.33774834437086093,
|
| 169 |
+
"acc_norm_stderr": 0.038615575462551684
|
| 170 |
+
},
|
| 171 |
+
"hendrycksTest-high_school_psychology": {
|
| 172 |
+
"acc": 0.3155963302752294,
|
| 173 |
+
"acc_stderr": 0.019926117513869666,
|
| 174 |
+
"acc_norm": 0.3155963302752294,
|
| 175 |
+
"acc_norm_stderr": 0.019926117513869666
|
| 176 |
+
},
|
| 177 |
+
"hendrycksTest-high_school_statistics": {
|
| 178 |
+
"acc": 0.35648148148148145,
|
| 179 |
+
"acc_stderr": 0.032664783315272714,
|
| 180 |
+
"acc_norm": 0.35648148148148145,
|
| 181 |
+
"acc_norm_stderr": 0.032664783315272714
|
| 182 |
+
},
|
| 183 |
+
"hendrycksTest-high_school_us_history": {
|
| 184 |
+
"acc": 0.30392156862745096,
|
| 185 |
+
"acc_stderr": 0.032282103870378935,
|
| 186 |
+
"acc_norm": 0.30392156862745096,
|
| 187 |
+
"acc_norm_stderr": 0.032282103870378935
|
| 188 |
+
},
|
| 189 |
+
"hendrycksTest-high_school_world_history": {
|
| 190 |
+
"acc": 0.31645569620253167,
|
| 191 |
+
"acc_stderr": 0.030274974880218977,
|
| 192 |
+
"acc_norm": 0.31645569620253167,
|
| 193 |
+
"acc_norm_stderr": 0.030274974880218977
|
| 194 |
+
},
|
| 195 |
+
"hendrycksTest-human_aging": {
|
| 196 |
+
"acc": 0.24663677130044842,
|
| 197 |
+
"acc_stderr": 0.028930413120910877,
|
| 198 |
+
"acc_norm": 0.24663677130044842,
|
| 199 |
+
"acc_norm_stderr": 0.028930413120910877
|
| 200 |
+
},
|
| 201 |
+
"hendrycksTest-human_sexuality": {
|
| 202 |
+
"acc": 0.2595419847328244,
|
| 203 |
+
"acc_stderr": 0.03844876139785271,
|
| 204 |
+
"acc_norm": 0.2595419847328244,
|
| 205 |
+
"acc_norm_stderr": 0.03844876139785271
|
| 206 |
+
},
|
| 207 |
+
"hendrycksTest-international_law": {
|
| 208 |
+
"acc": 0.2892561983471074,
|
| 209 |
+
"acc_stderr": 0.04139112727635465,
|
| 210 |
+
"acc_norm": 0.2892561983471074,
|
| 211 |
+
"acc_norm_stderr": 0.04139112727635465
|
| 212 |
+
},
|
| 213 |
+
"hendrycksTest-jurisprudence": {
|
| 214 |
+
"acc": 0.26851851851851855,
|
| 215 |
+
"acc_stderr": 0.04284467968052191,
|
| 216 |
+
"acc_norm": 0.26851851851851855,
|
| 217 |
+
"acc_norm_stderr": 0.04284467968052191
|
| 218 |
+
},
|
| 219 |
+
"hendrycksTest-logical_fallacies": {
|
| 220 |
+
"acc": 0.2147239263803681,
|
| 221 |
+
"acc_stderr": 0.03226219377286774,
|
| 222 |
+
"acc_norm": 0.2147239263803681,
|
| 223 |
+
"acc_norm_stderr": 0.03226219377286774
|
| 224 |
+
},
|
| 225 |
+
"hendrycksTest-machine_learning": {
|
| 226 |
+
"acc": 0.25892857142857145,
|
| 227 |
+
"acc_stderr": 0.04157751539865629,
|
| 228 |
+
"acc_norm": 0.25892857142857145,
|
| 229 |
+
"acc_norm_stderr": 0.04157751539865629
|
| 230 |
+
},
|
| 231 |
+
"hendrycksTest-management": {
|
| 232 |
+
"acc": 0.27184466019417475,
|
| 233 |
+
"acc_stderr": 0.044052680241409216,
|
| 234 |
+
"acc_norm": 0.27184466019417475,
|
| 235 |
+
"acc_norm_stderr": 0.044052680241409216
|
| 236 |
+
},
|
| 237 |
+
"hendrycksTest-marketing": {
|
| 238 |
+
"acc": 0.3247863247863248,
|
| 239 |
+
"acc_stderr": 0.03067902276549883,
|
| 240 |
+
"acc_norm": 0.3247863247863248,
|
| 241 |
+
"acc_norm_stderr": 0.03067902276549883
|
| 242 |
+
},
|
| 243 |
+
"hendrycksTest-medical_genetics": {
|
| 244 |
+
"acc": 0.33,
|
| 245 |
+
"acc_stderr": 0.04725815626252604,
|
| 246 |
+
"acc_norm": 0.33,
|
| 247 |
+
"acc_norm_stderr": 0.04725815626252604
|
| 248 |
+
},
|
| 249 |
+
"hendrycksTest-miscellaneous": {
|
| 250 |
+
"acc": 0.31417624521072796,
|
| 251 |
+
"acc_stderr": 0.016599291735884907,
|
| 252 |
+
"acc_norm": 0.31417624521072796,
|
| 253 |
+
"acc_norm_stderr": 0.016599291735884907
|
| 254 |
+
},
|
| 255 |
+
"hendrycksTest-moral_disputes": {
|
| 256 |
+
"acc": 0.2976878612716763,
|
| 257 |
+
"acc_stderr": 0.02461705538867701,
|
| 258 |
+
"acc_norm": 0.2976878612716763,
|
| 259 |
+
"acc_norm_stderr": 0.02461705538867701
|
| 260 |
+
},
|
| 261 |
+
"hendrycksTest-moral_scenarios": {
|
| 262 |
+
"acc": 0.2636871508379888,
|
| 263 |
+
"acc_stderr": 0.01473692638376196,
|
| 264 |
+
"acc_norm": 0.2636871508379888,
|
| 265 |
+
"acc_norm_stderr": 0.01473692638376196
|
| 266 |
+
},
|
| 267 |
+
"hendrycksTest-nutrition": {
|
| 268 |
+
"acc": 0.30392156862745096,
|
| 269 |
+
"acc_stderr": 0.026336613469046647,
|
| 270 |
+
"acc_norm": 0.30392156862745096,
|
| 271 |
+
"acc_norm_stderr": 0.026336613469046647
|
| 272 |
+
},
|
| 273 |
+
"hendrycksTest-philosophy": {
|
| 274 |
+
"acc": 0.2829581993569132,
|
| 275 |
+
"acc_stderr": 0.025583062489984824,
|
| 276 |
+
"acc_norm": 0.2829581993569132,
|
| 277 |
+
"acc_norm_stderr": 0.025583062489984824
|
| 278 |
+
},
|
| 279 |
+
"hendrycksTest-prehistory": {
|
| 280 |
+
"acc": 0.2932098765432099,
|
| 281 |
+
"acc_stderr": 0.02532988817190092,
|
| 282 |
+
"acc_norm": 0.2932098765432099,
|
| 283 |
+
"acc_norm_stderr": 0.02532988817190092
|
| 284 |
+
},
|
| 285 |
+
"hendrycksTest-professional_accounting": {
|
| 286 |
+
"acc": 0.24822695035460993,
|
| 287 |
+
"acc_stderr": 0.025770015644290396,
|
| 288 |
+
"acc_norm": 0.24822695035460993,
|
| 289 |
+
"acc_norm_stderr": 0.025770015644290396
|
| 290 |
+
},
|
| 291 |
+
"hendrycksTest-professional_law": {
|
| 292 |
+
"acc": 0.2646675358539765,
|
| 293 |
+
"acc_stderr": 0.011267332992845517,
|
| 294 |
+
"acc_norm": 0.2646675358539765,
|
| 295 |
+
"acc_norm_stderr": 0.011267332992845517
|
| 296 |
+
},
|
| 297 |
+
"hendrycksTest-professional_medicine": {
|
| 298 |
+
"acc": 0.2426470588235294,
|
| 299 |
+
"acc_stderr": 0.02604066247420126,
|
| 300 |
+
"acc_norm": 0.2426470588235294,
|
| 301 |
+
"acc_norm_stderr": 0.02604066247420126
|
| 302 |
+
},
|
| 303 |
+
"hendrycksTest-professional_psychology": {
|
| 304 |
+
"acc": 0.272875816993464,
|
| 305 |
+
"acc_stderr": 0.01802047414839358,
|
| 306 |
+
"acc_norm": 0.272875816993464,
|
| 307 |
+
"acc_norm_stderr": 0.01802047414839358
|
| 308 |
+
},
|
| 309 |
+
"hendrycksTest-public_relations": {
|
| 310 |
+
"acc": 0.3090909090909091,
|
| 311 |
+
"acc_stderr": 0.044262946482000985,
|
| 312 |
+
"acc_norm": 0.3090909090909091,
|
| 313 |
+
"acc_norm_stderr": 0.044262946482000985
|
| 314 |
+
},
|
| 315 |
+
"hendrycksTest-security_studies": {
|
| 316 |
+
"acc": 0.23673469387755103,
|
| 317 |
+
"acc_stderr": 0.027212835884073167,
|
| 318 |
+
"acc_norm": 0.23673469387755103,
|
| 319 |
+
"acc_norm_stderr": 0.027212835884073167
|
| 320 |
+
},
|
| 321 |
+
"hendrycksTest-sociology": {
|
| 322 |
+
"acc": 0.29850746268656714,
|
| 323 |
+
"acc_stderr": 0.032357437893550424,
|
| 324 |
+
"acc_norm": 0.29850746268656714,
|
| 325 |
+
"acc_norm_stderr": 0.032357437893550424
|
| 326 |
+
},
|
| 327 |
+
"hendrycksTest-us_foreign_policy": {
|
| 328 |
+
"acc": 0.31,
|
| 329 |
+
"acc_stderr": 0.04648231987117316,
|
| 330 |
+
"acc_norm": 0.31,
|
| 331 |
+
"acc_norm_stderr": 0.04648231987117316
|
| 332 |
+
},
|
| 333 |
+
"hendrycksTest-virology": {
|
| 334 |
+
"acc": 0.3192771084337349,
|
| 335 |
+
"acc_stderr": 0.03629335329947859,
|
| 336 |
+
"acc_norm": 0.3192771084337349,
|
| 337 |
+
"acc_norm_stderr": 0.03629335329947859
|
| 338 |
+
},
|
| 339 |
+
"hendrycksTest-world_religions": {
|
| 340 |
+
"acc": 0.3742690058479532,
|
| 341 |
+
"acc_stderr": 0.037116011853894806,
|
| 342 |
+
"acc_norm": 0.3742690058479532,
|
| 343 |
+
"acc_norm_stderr": 0.037116011853894806
|
| 344 |
+
}
|
| 345 |
+
},
|
| 346 |
+
"versions": {
|
| 347 |
+
"hendrycksTest-abstract_algebra": 1,
|
| 348 |
+
"hendrycksTest-anatomy": 1,
|
| 349 |
+
"hendrycksTest-astronomy": 1,
|
| 350 |
+
"hendrycksTest-business_ethics": 1,
|
| 351 |
+
"hendrycksTest-clinical_knowledge": 1,
|
| 352 |
+
"hendrycksTest-college_biology": 1,
|
| 353 |
+
"hendrycksTest-college_chemistry": 1,
|
| 354 |
+
"hendrycksTest-college_computer_science": 1,
|
| 355 |
+
"hendrycksTest-college_mathematics": 1,
|
| 356 |
+
"hendrycksTest-college_medicine": 1,
|
| 357 |
+
"hendrycksTest-college_physics": 1,
|
| 358 |
+
"hendrycksTest-computer_security": 1,
|
| 359 |
+
"hendrycksTest-conceptual_physics": 1,
|
| 360 |
+
"hendrycksTest-econometrics": 1,
|
| 361 |
+
"hendrycksTest-electrical_engineering": 1,
|
| 362 |
+
"hendrycksTest-elementary_mathematics": 1,
|
| 363 |
+
"hendrycksTest-formal_logic": 1,
|
| 364 |
+
"hendrycksTest-global_facts": 1,
|
| 365 |
+
"hendrycksTest-high_school_biology": 1,
|
| 366 |
+
"hendrycksTest-high_school_chemistry": 1,
|
| 367 |
+
"hendrycksTest-high_school_computer_science": 1,
|
| 368 |
+
"hendrycksTest-high_school_european_history": 1,
|
| 369 |
+
"hendrycksTest-high_school_geography": 1,
|
| 370 |
+
"hendrycksTest-high_school_government_and_politics": 1,
|
| 371 |
+
"hendrycksTest-high_school_macroeconomics": 1,
|
| 372 |
+
"hendrycksTest-high_school_mathematics": 1,
|
| 373 |
+
"hendrycksTest-high_school_microeconomics": 1,
|
| 374 |
+
"hendrycksTest-high_school_physics": 1,
|
| 375 |
+
"hendrycksTest-high_school_psychology": 1,
|
| 376 |
+
"hendrycksTest-high_school_statistics": 1,
|
| 377 |
+
"hendrycksTest-high_school_us_history": 1,
|
| 378 |
+
"hendrycksTest-high_school_world_history": 1,
|
| 379 |
+
"hendrycksTest-human_aging": 1,
|
| 380 |
+
"hendrycksTest-human_sexuality": 1,
|
| 381 |
+
"hendrycksTest-international_law": 1,
|
| 382 |
+
"hendrycksTest-jurisprudence": 1,
|
| 383 |
+
"hendrycksTest-logical_fallacies": 1,
|
| 384 |
+
"hendrycksTest-machine_learning": 1,
|
| 385 |
+
"hendrycksTest-management": 1,
|
| 386 |
+
"hendrycksTest-marketing": 1,
|
| 387 |
+
"hendrycksTest-medical_genetics": 1,
|
| 388 |
+
"hendrycksTest-miscellaneous": 1,
|
| 389 |
+
"hendrycksTest-moral_disputes": 1,
|
| 390 |
+
"hendrycksTest-moral_scenarios": 1,
|
| 391 |
+
"hendrycksTest-nutrition": 1,
|
| 392 |
+
"hendrycksTest-philosophy": 1,
|
| 393 |
+
"hendrycksTest-prehistory": 1,
|
| 394 |
+
"hendrycksTest-professional_accounting": 1,
|
| 395 |
+
"hendrycksTest-professional_law": 1,
|
| 396 |
+
"hendrycksTest-professional_medicine": 1,
|
| 397 |
+
"hendrycksTest-professional_psychology": 1,
|
| 398 |
+
"hendrycksTest-public_relations": 1,
|
| 399 |
+
"hendrycksTest-security_studies": 1,
|
| 400 |
+
"hendrycksTest-sociology": 1,
|
| 401 |
+
"hendrycksTest-us_foreign_policy": 1,
|
| 402 |
+
"hendrycksTest-virology": 1,
|
| 403 |
+
"hendrycksTest-world_religions": 1
|
| 404 |
+
},
|
| 405 |
+
"config": {
|
| 406 |
+
"model": "hf-causal",
|
| 407 |
+
"model_args": "pretrained=./workdir_7b_16mix/ckpt_357",
|
| 408 |
+
"num_fewshot": 5,
|
| 409 |
+
"batch_size": "1",
|
| 410 |
+
"batch_sizes": [],
|
| 411 |
+
"device": null,
|
| 412 |
+
"no_cache": true,
|
| 413 |
+
"limit": null,
|
| 414 |
+
"bootstrap_iters": 100000,
|
| 415 |
+
"description_dict": {}
|
| 416 |
+
}
|
| 417 |
+
}
|
eval_truthfulqa.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"truthfulqa_mc": {
|
| 4 |
+
"mc1": 0.21052631578947367,
|
| 5 |
+
"mc1_stderr": 0.014271740645964188,
|
| 6 |
+
"mc2": 0.33121547576823096,
|
| 7 |
+
"mc2_stderr": 0.013044241233040077
|
| 8 |
+
}
|
| 9 |
+
},
|
| 10 |
+
"versions": {
|
| 11 |
+
"truthfulqa_mc": 1
|
| 12 |
+
},
|
| 13 |
+
"config": {
|
| 14 |
+
"model": "hf-causal",
|
| 15 |
+
"model_args": "pretrained=./workdir_7b_16mix/ckpt_357",
|
| 16 |
+
"num_fewshot": 0,
|
| 17 |
+
"batch_size": "1",
|
| 18 |
+
"batch_sizes": [],
|
| 19 |
+
"device": null,
|
| 20 |
+
"no_cache": true,
|
| 21 |
+
"limit": null,
|
| 22 |
+
"bootstrap_iters": 100000,
|
| 23 |
+
"description_dict": {}
|
| 24 |
+
}
|
| 25 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "4.35.2"
|
| 7 |
+
}
|
pytorch_model-00001-of-00006.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5afd079f71a454b8c7942457e3ea383e7290be3f11584530c66e85f13a68fe8
|
| 3 |
+
size 4840412662
|
pytorch_model-00002-of-00006.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4568b2ef553cc95d428233c662a7b5d82bc54fa83fa28f1d28caf5077caf2f69
|
| 3 |
+
size 4857224198
|
pytorch_model-00003-of-00006.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9921d3de4f616e5d62f8e478d9ab366009454da027481ad30f6b271f67935c1a
|
| 3 |
+
size 4857224262
|
pytorch_model-00004-of-00006.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db0046d06b44269070e8c43a4501aab77e65697cfd9c0f702e9bc1686f12ca0a
|
| 3 |
+
size 4857224262
|
pytorch_model-00005-of-00006.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75c2a3d77265990902f94f54afc25cc584f1c22c61a914ccf42aa8bbf6c0d323
|
| 3 |
+
size 4857224262
|
pytorch_model-00006-of-00006.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:489b1c03856245f794edf220479062daf89faf9879eaf2e66faa406fb006dd71
|
| 3 |
+
size 2684479760
|
pytorch_model.bin.index.json
ADDED
|
@@ -0,0 +1,330 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 26953670656
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "pytorch_model-00006-of-00006.bin",
|
| 7 |
+
"model.embed_tokens.weight": "pytorch_model-00001-of-00006.bin",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 16 |
+
"model.layers.0.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
| 17 |
+
"model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 18 |
+
"model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 19 |
+
"model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 20 |
+
"model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 21 |
+
"model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 22 |
+
"model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 23 |
+
"model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 24 |
+
"model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 25 |
+
"model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 26 |
+
"model.layers.1.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
| 27 |
+
"model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 28 |
+
"model.layers.10.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 29 |
+
"model.layers.10.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 30 |
+
"model.layers.10.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 31 |
+
"model.layers.10.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 32 |
+
"model.layers.10.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 33 |
+
"model.layers.10.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 34 |
+
"model.layers.10.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 35 |
+
"model.layers.10.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 36 |
+
"model.layers.10.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
| 37 |
+
"model.layers.10.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 38 |
+
"model.layers.11.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 39 |
+
"model.layers.11.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 40 |
+
"model.layers.11.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 41 |
+
"model.layers.11.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 42 |
+
"model.layers.11.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 43 |
+
"model.layers.11.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 44 |
+
"model.layers.11.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 45 |
+
"model.layers.11.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 46 |
+
"model.layers.11.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
| 47 |
+
"model.layers.11.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 48 |
+
"model.layers.12.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 49 |
+
"model.layers.12.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 50 |
+
"model.layers.12.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 51 |
+
"model.layers.12.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 52 |
+
"model.layers.12.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 53 |
+
"model.layers.12.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 54 |
+
"model.layers.12.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 55 |
+
"model.layers.12.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 56 |
+
"model.layers.12.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
| 57 |
+
"model.layers.12.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 58 |
+
"model.layers.13.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 59 |
+
"model.layers.13.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 60 |
+
"model.layers.13.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 61 |
+
"model.layers.13.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 62 |
+
"model.layers.13.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 63 |
+
"model.layers.13.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 64 |
+
"model.layers.13.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 65 |
+
"model.layers.13.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 66 |
+
"model.layers.13.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
| 67 |
+
"model.layers.13.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 68 |
+
"model.layers.14.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 69 |
+
"model.layers.14.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 70 |
+
"model.layers.14.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 71 |
+
"model.layers.14.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 72 |
+
"model.layers.14.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 73 |
+
"model.layers.14.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 74 |
+
"model.layers.14.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 75 |
+
"model.layers.14.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 76 |
+
"model.layers.14.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
| 77 |
+
"model.layers.14.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 78 |
+
"model.layers.15.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 79 |
+
"model.layers.15.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 80 |
+
"model.layers.15.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 81 |
+
"model.layers.15.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 82 |
+
"model.layers.15.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 83 |
+
"model.layers.15.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 84 |
+
"model.layers.15.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 85 |
+
"model.layers.15.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 86 |
+
"model.layers.15.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
| 87 |
+
"model.layers.15.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 88 |
+
"model.layers.16.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 89 |
+
"model.layers.16.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 90 |
+
"model.layers.16.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 91 |
+
"model.layers.16.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 92 |
+
"model.layers.16.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
| 93 |
+
"model.layers.16.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 94 |
+
"model.layers.16.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 95 |
+
"model.layers.16.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 96 |
+
"model.layers.16.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
| 97 |
+
"model.layers.16.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 98 |
+
"model.layers.17.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 99 |
+
"model.layers.17.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 100 |
+
"model.layers.17.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 101 |
+
"model.layers.17.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 102 |
+
"model.layers.17.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 103 |
+
"model.layers.17.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 104 |
+
"model.layers.17.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 105 |
+
"model.layers.17.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 106 |
+
"model.layers.17.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
| 107 |
+
"model.layers.17.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
| 108 |
+
"model.layers.18.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 109 |
+
"model.layers.18.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 110 |
+
"model.layers.18.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 111 |
+
"model.layers.18.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 112 |
+
"model.layers.18.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 113 |
+
"model.layers.18.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 114 |
+
"model.layers.18.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 115 |
+
"model.layers.18.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 116 |
+
"model.layers.18.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
| 117 |
+
"model.layers.18.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 118 |
+
"model.layers.19.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 119 |
+
"model.layers.19.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 120 |
+
"model.layers.19.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 121 |
+
"model.layers.19.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 122 |
+
"model.layers.19.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 123 |
+
"model.layers.19.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 124 |
+
"model.layers.19.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 125 |
+
"model.layers.19.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 126 |
+
"model.layers.19.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
| 127 |
+
"model.layers.19.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 128 |
+
"model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 129 |
+
"model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 130 |
+
"model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 131 |
+
"model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 132 |
+
"model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 133 |
+
"model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 134 |
+
"model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 135 |
+
"model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 136 |
+
"model.layers.2.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
| 137 |
+
"model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 138 |
+
"model.layers.20.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 139 |
+
"model.layers.20.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 140 |
+
"model.layers.20.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 141 |
+
"model.layers.20.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 142 |
+
"model.layers.20.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 143 |
+
"model.layers.20.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 144 |
+
"model.layers.20.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 145 |
+
"model.layers.20.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 146 |
+
"model.layers.20.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
| 147 |
+
"model.layers.20.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 148 |
+
"model.layers.21.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 149 |
+
"model.layers.21.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 150 |
+
"model.layers.21.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 151 |
+
"model.layers.21.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 152 |
+
"model.layers.21.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 153 |
+
"model.layers.21.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 154 |
+
"model.layers.21.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 155 |
+
"model.layers.21.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 156 |
+
"model.layers.21.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
| 157 |
+
"model.layers.21.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 158 |
+
"model.layers.22.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 159 |
+
"model.layers.22.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 160 |
+
"model.layers.22.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 161 |
+
"model.layers.22.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 162 |
+
"model.layers.22.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
| 163 |
+
"model.layers.22.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 164 |
+
"model.layers.22.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 165 |
+
"model.layers.22.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 166 |
+
"model.layers.22.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
| 167 |
+
"model.layers.22.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 168 |
+
"model.layers.23.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 169 |
+
"model.layers.23.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 170 |
+
"model.layers.23.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 171 |
+
"model.layers.23.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 172 |
+
"model.layers.23.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 173 |
+
"model.layers.23.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 174 |
+
"model.layers.23.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 175 |
+
"model.layers.23.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 176 |
+
"model.layers.23.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
| 177 |
+
"model.layers.23.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
| 178 |
+
"model.layers.24.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 179 |
+
"model.layers.24.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 180 |
+
"model.layers.24.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 181 |
+
"model.layers.24.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 182 |
+
"model.layers.24.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 183 |
+
"model.layers.24.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 184 |
+
"model.layers.24.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 185 |
+
"model.layers.24.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 186 |
+
"model.layers.24.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
| 187 |
+
"model.layers.24.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 188 |
+
"model.layers.25.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 189 |
+
"model.layers.25.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 190 |
+
"model.layers.25.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 191 |
+
"model.layers.25.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 192 |
+
"model.layers.25.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 193 |
+
"model.layers.25.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 194 |
+
"model.layers.25.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 195 |
+
"model.layers.25.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 196 |
+
"model.layers.25.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
| 197 |
+
"model.layers.25.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 198 |
+
"model.layers.26.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 199 |
+
"model.layers.26.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 200 |
+
"model.layers.26.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 201 |
+
"model.layers.26.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 202 |
+
"model.layers.26.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 203 |
+
"model.layers.26.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 204 |
+
"model.layers.26.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 205 |
+
"model.layers.26.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 206 |
+
"model.layers.26.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
| 207 |
+
"model.layers.26.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 208 |
+
"model.layers.27.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 209 |
+
"model.layers.27.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 210 |
+
"model.layers.27.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 211 |
+
"model.layers.27.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 212 |
+
"model.layers.27.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 213 |
+
"model.layers.27.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 214 |
+
"model.layers.27.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 215 |
+
"model.layers.27.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 216 |
+
"model.layers.27.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
| 217 |
+
"model.layers.27.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 218 |
+
"model.layers.28.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 219 |
+
"model.layers.28.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 220 |
+
"model.layers.28.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 221 |
+
"model.layers.28.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 222 |
+
"model.layers.28.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
| 223 |
+
"model.layers.28.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 224 |
+
"model.layers.28.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 225 |
+
"model.layers.28.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 226 |
+
"model.layers.28.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
| 227 |
+
"model.layers.28.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 228 |
+
"model.layers.29.input_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
| 229 |
+
"model.layers.29.mlp.down_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 230 |
+
"model.layers.29.mlp.gate_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 231 |
+
"model.layers.29.mlp.up_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 232 |
+
"model.layers.29.post_attention_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
| 233 |
+
"model.layers.29.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 234 |
+
"model.layers.29.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 235 |
+
"model.layers.29.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 236 |
+
"model.layers.29.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
| 237 |
+
"model.layers.29.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
| 238 |
+
"model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 239 |
+
"model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 240 |
+
"model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 241 |
+
"model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 242 |
+
"model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 243 |
+
"model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 244 |
+
"model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 245 |
+
"model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 246 |
+
"model.layers.3.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
| 247 |
+
"model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 248 |
+
"model.layers.30.input_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
| 249 |
+
"model.layers.30.mlp.down_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 250 |
+
"model.layers.30.mlp.gate_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 251 |
+
"model.layers.30.mlp.up_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 252 |
+
"model.layers.30.post_attention_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
| 253 |
+
"model.layers.30.self_attn.k_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 254 |
+
"model.layers.30.self_attn.o_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 255 |
+
"model.layers.30.self_attn.q_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 256 |
+
"model.layers.30.self_attn.rotary_emb.inv_freq": "pytorch_model-00006-of-00006.bin",
|
| 257 |
+
"model.layers.30.self_attn.v_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 258 |
+
"model.layers.31.input_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
| 259 |
+
"model.layers.31.mlp.down_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 260 |
+
"model.layers.31.mlp.gate_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 261 |
+
"model.layers.31.mlp.up_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 262 |
+
"model.layers.31.post_attention_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
| 263 |
+
"model.layers.31.self_attn.k_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 264 |
+
"model.layers.31.self_attn.o_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 265 |
+
"model.layers.31.self_attn.q_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 266 |
+
"model.layers.31.self_attn.rotary_emb.inv_freq": "pytorch_model-00006-of-00006.bin",
|
| 267 |
+
"model.layers.31.self_attn.v_proj.weight": "pytorch_model-00006-of-00006.bin",
|
| 268 |
+
"model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 269 |
+
"model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 270 |
+
"model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 271 |
+
"model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 272 |
+
"model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
| 273 |
+
"model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 274 |
+
"model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 275 |
+
"model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 276 |
+
"model.layers.4.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
| 277 |
+
"model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 278 |
+
"model.layers.5.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 279 |
+
"model.layers.5.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 280 |
+
"model.layers.5.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 281 |
+
"model.layers.5.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 282 |
+
"model.layers.5.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 283 |
+
"model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 284 |
+
"model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 285 |
+
"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 286 |
+
"model.layers.5.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
| 287 |
+
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
| 288 |
+
"model.layers.6.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 289 |
+
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 290 |
+
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 291 |
+
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 292 |
+
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 293 |
+
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 294 |
+
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 295 |
+
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 296 |
+
"model.layers.6.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
| 297 |
+
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 298 |
+
"model.layers.7.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 299 |
+
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 300 |
+
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 301 |
+
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 302 |
+
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 303 |
+
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 304 |
+
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 305 |
+
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 306 |
+
"model.layers.7.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
| 307 |
+
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 308 |
+
"model.layers.8.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 309 |
+
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 310 |
+
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 311 |
+
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 312 |
+
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 313 |
+
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 314 |
+
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 315 |
+
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 316 |
+
"model.layers.8.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
| 317 |
+
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 318 |
+
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 319 |
+
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 320 |
+
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 321 |
+
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 322 |
+
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
| 323 |
+
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 324 |
+
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 325 |
+
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 326 |
+
"model.layers.9.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
| 327 |
+
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
| 328 |
+
"model.norm.weight": "pytorch_model-00006-of-00006.bin"
|
| 329 |
+
}
|
| 330 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"unk_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": true,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": true,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": true,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"bos_token": "<s>",
|
| 29 |
+
"clean_up_tokenization_spaces": false,
|
| 30 |
+
"eos_token": "</s>",
|
| 31 |
+
"model_max_length": 2048,
|
| 32 |
+
"pad_token": null,
|
| 33 |
+
"sp_model_kwargs": {},
|
| 34 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 35 |
+
"unk_token": "<unk>",
|
| 36 |
+
"use_default_system_prompt": false
|
| 37 |
+
}
|