Hugging Face's logo

huggingface-mic
/
tiny_starcoder_py-mic

Safetensors
gpt_bigcode
mic
test-artifact
Model card Files
xet
 Community
tiny_starcoder_py-mic
File size: 4,126 Bytes
0ad90af
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
{
 "fixture": "huggingface-mic/tiny_starcoder_py-mic",
 "key": "0852b1b7488daf526180d9c8c3361de942729124e3b94beb0339fa2d46cf47e0",
 "key_fields": {
  "architectures": [
   "GPTBigCodeForCausalLM"
  ],
  "output_hidden_states": false,
  "return_dict": true,
  "chunk_size_feed_forward": 0,
  "is_encoder_decoder": false,
  "id2label": {
   "0": "LABEL_0",
   "1": "LABEL_1"
  },
  "label2id": {
   "LABEL_0": 0,
   "LABEL_1": 1
  },
  "problem_type": null,
  "vocab_size": 49152,
  "n_positions": 8192,
  "n_embd": 64,
  "n_layer": 2,
  "n_head": 4,
  "n_inner": 128,
  "activation_function": "gelu_pytorch_tanh",
  "resid_pdrop": 0.1,
  "embd_pdrop": 0.1,
  "attn_pdrop": 0.1,
  "layer_norm_epsilon": 1e-05,
  "initializer_range": 0.02,
  "scale_attn_weights": true,
  "use_cache": true,
  "bos_token_id": 0,
  "eos_token_id": 0,
  "pad_token_id": null,
  "attention_softmax_in_fp32": true,
  "scale_attention_softmax_in_fp32": true,
  "multi_query": true,
  "add_cross_attention": false,
  "tie_word_embeddings": true,
  "num_key_value_heads": 2,
  "inference_runner": 0,
  "max_batch_size": null,
  "max_sequence_length": null,
  "model_type": "gpt_bigcode",
  "pad_key_length": true,
  "pre_allocate_kv_cache": false,
  "summary_activation": null,
  "summary_first_dropout": 0.1,
  "summary_proj_to_labels": true,
  "summary_type": "cls_index",
  "summary_use_proj": true,
  "validate_runner_input": true,
  "output_attentions": false
 },
 "covers": {
  "bigcode/tiny_starcoder_py": "8547527bef0bc927268c1653cce6948c5c242dd1"
 },
 "built_from": {
  "repo": "bigcode/tiny_starcoder_py",
  "revision": "8547527bef0bc927268c1653cce6948c5c242dd1"
 },
 "seed": 17,
 "dtype": "float32",
 "builder": "example/build_fixtures.py",
 "builder_revision": "c0a9ac9ce31d96d81a7ed980688dcd4599b1e6bd",
 "recipe": {
  "seed": 17,
  "model_class": "GPTBigCodeForCausalLM"
 },
 "shrink": "rule",
 "model_class": "GPTBigCodeForCausalLM",
 "parameters": 3724608,
 "missing_parameters": [],
 "checkpoint_inspection": "parameter headers/indexes; bounded binary fallback",
 "numeric_health_scope": "CPU float32/bfloat16/float16; autocast for low-precision losses",
 "captured": {
  "call": "training step",
  "inputs": [
   "attention_mask",
   "input_ids",
   "labels"
  ],
  "class": "GPTBigCodeForCausalLM"
 },
 "weights": "random",
 "gate": {
  "random": {
   "pass": true,
   "accepted_insensitive": {},
   "threshold": 0.001,
   "deltas": {
    "input_ids:roll_batch": 1.1869170665740967,
    "input_ids:reverse": 1.1730904579162598,
    "attention_mask:all_ones": 0.49951428174972534
   },
   "weakest": "attention_mask:all_ones",
   "no_perturbation_defined": [],
   "not_a_forward_parameter": []
  }
 },
 "numeric_health": {
  "float32": {
   "outputs_finite": true,
   "loss_finite": true,
   "gradients_finite": true,
   "finite": true
  },
  "bfloat16": {
   "outputs_finite": true,
   "loss_finite": true,
   "gradients_finite": true,
   "finite": true
  },
  "float16": {
   "outputs_finite": true,
   "loss_finite": true,
   "unscaled_gradients_finite": true,
   "finite": true
  }
 },
 "copied_unchanged": [
  "generation_config.json",
  "merges.txt",
  "special_tokens_map.json",
  "tokenizer.json",
  "tokenizer_config.json",
  "vocab.json"
 ],
 "environment": {
  "python": "3.12.12",
  "machine": "arm64",
  "torch": "2.14.1",
  "transformers": "5.22.0.dev0",
  "tokenizers": "0.23.3"
 },
 "sha256": {
  "config.json": "e71a18da111f128967e7d8cc89622e71dafc295a27b8181170d11423ad420ea0",
  "generation_config.json": "368f15f9c335d48e1a585440037c77022af6b867303dc8fe9ee01e8fc86c1617",
  "merges.txt": "74b0a4bc1a97ebc1d227f69231b18574374ba052fb945b0fa0aa91d3c32504a2",
  "model.safetensors": "1cb730824fb0a3d7a02141afb42177445e7d8522e8cde09bbfb3c174d5ca2ed0",
  "special_tokens_map.json": "0823292e24ea07b89317e9ede9d08da2a1b6c014290c06908a7ad04f1efd6719",
  "tokenizer.json": "42b5a37ba11199f024f2b8873e1ecba98da33166e16f700bf7cb2304b0a5583f",
  "tokenizer_config.json": "95684c52ad9a970dbbb17576ee2237cb62902c1eff6804c7c91a4d6219a4a6d7",
  "vocab.json": "20175afb9f164fad4829aca2279f8df7eeff1e2e3f671378aaa287a740aff09f"
 }
}