Mohaaxa commited on
Commit
703594a
·
verified ·
1 Parent(s): 81e9534

Upload folder using huggingface_hub

Browse files
smollm2-1p7b__gptq__wikitext2__n128__s1/BENCH_DONE ADDED
@@ -0,0 +1 @@
 
 
1
+ 2026-07-31T00:22:10.326104+00:00
smollm2-1p7b__gptq__wikitext2__n128__s1/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
smollm2-1p7b__gptq__wikitext2__n128__s1/config.json ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "LlamaForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "dtype": "bfloat16",
9
+ "eos_token_id": 2,
10
+ "head_dim": 64,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 2048,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 8192,
15
+ "max_position_embeddings": 8192,
16
+ "mlp_bias": false,
17
+ "model_type": "llama",
18
+ "num_attention_heads": 32,
19
+ "num_hidden_layers": 24,
20
+ "num_key_value_heads": 32,
21
+ "pad_token_id": 2,
22
+ "pretraining_tp": 1,
23
+ "quantization_config": {
24
+ "bits": 4,
25
+ "checkpoint_format": "gptq",
26
+ "desc_act": true,
27
+ "format": "gptq",
28
+ "group_size": 128,
29
+ "lm_head": false,
30
+ "meta": {
31
+ "act_group_aware": false,
32
+ "auto_forward_data_parallel": true,
33
+ "damp_auto_increment": 0.01,
34
+ "damp_percent": 0.01,
35
+ "dense_vram_strategy": "exclusive",
36
+ "dense_vram_strategy_devices": null,
37
+ "fallback": {
38
+ "smooth": null,
39
+ "strategy": "rtn",
40
+ "threshold": "0.5%"
41
+ },
42
+ "foem": null,
43
+ "gc_mode": "interval",
44
+ "gptaq": null,
45
+ "hessian": {
46
+ "chunk_bytes": null,
47
+ "chunk_size": null,
48
+ "staging_dtype": "float32"
49
+ },
50
+ "mock_quantization": false,
51
+ "moe_vram_strategy": "exclusive",
52
+ "moe_vram_strategy_devices": null,
53
+ "mse": 0.0,
54
+ "offload_to_disk": true,
55
+ "offload_to_disk_path": "/tmp/gptqmodel_82gz4k5s",
56
+ "pack_impl": "cpu",
57
+ "quantizer": [
58
+ "gptqmodel:7.3.2"
59
+ ],
60
+ "static_groups": false,
61
+ "true_sequential": true,
62
+ "uri": "https://github.com/modelcloud/gptqmodel",
63
+ "wait_for_submodule_finalizers": false
64
+ },
65
+ "method": "gptq",
66
+ "pack_dtype": "int32",
67
+ "quant_method": "gptq",
68
+ "sym": true
69
+ },
70
+ "rms_norm_eps": 1e-05,
71
+ "rope_parameters": {
72
+ "rope_theta": 130000,
73
+ "rope_type": "default"
74
+ },
75
+ "tie_word_embeddings": true,
76
+ "transformers.js_config": {
77
+ "dtype": "q4",
78
+ "kv_cache_dtype": {
79
+ "fp16": "float16",
80
+ "q4f16": "float16"
81
+ },
82
+ "use_external_data_format": {
83
+ "model.onnx": true,
84
+ "model_fp16.onnx": true
85
+ }
86
+ },
87
+ "transformers_version": "5.14.1",
88
+ "use_cache": true,
89
+ "vocab_size": 49152
90
+ }
smollm2-1p7b__gptq__wikitext2__n128__s1/generation_config.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "do_sample": true,
5
+ "eos_token_id": 2,
6
+ "pad_token_id": 2,
7
+ "transformers_version": "5.14.1"
8
+ }
smollm2-1p7b__gptq__wikitext2__n128__s1/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04ad8377807bf1eca1409598348b908f9c200b21d5ee6c65a954968bc884ef84
3
+ size 1040336952
smollm2-1p7b__gptq__wikitext2__n128__s1/quant_log.csv ADDED
@@ -0,0 +1,169 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ layer,module,loss,samples,damp,time
2
+ 0,self_attn.v_proj,0.0000001287,0.01000,3.133
3
+ 0,self_attn.k_proj,0.0000036351,0.01000,3.148
4
+ 0,self_attn.q_proj,0.0000049473,0.01000,3.159
5
+ 0,self_attn.o_proj,0.0000001102,0.01000,0.525
6
+ 0,mlp.up_proj,0.0000050381,0.01000,1.640
7
+ 0,mlp.gate_proj,0.0000053506,0.01000,1.650
8
+ 0,mlp.down_proj,0.0000027895,0.01000,2.259
9
+ 1,self_attn.q_proj,0.0000138396,0.01000,2.923
10
+ 1,self_attn.k_proj,0.0000123499,0.01000,2.933
11
+ 1,self_attn.v_proj,0.0000029527,0.01000,2.936
12
+ 1,self_attn.o_proj,0.0000012230,0.01000,0.525
13
+ 1,mlp.up_proj,0.0000088470,0.01000,1.599
14
+ 1,mlp.gate_proj,0.0000102190,0.01000,1.608
15
+ 1,mlp.down_proj,0.0000454952,0.01000,2.262
16
+ 2,self_attn.q_proj,0.0000226839,0.01000,3.114
17
+ 2,self_attn.k_proj,0.0000202795,0.01000,3.120
18
+ 2,self_attn.v_proj,0.0000079351,0.01000,3.126
19
+ 2,self_attn.o_proj,0.0000031360,0.01000,0.513
20
+ 2,mlp.up_proj,0.0000140397,0.01000,1.443
21
+ 2,mlp.gate_proj,0.0000157769,0.01000,1.449
22
+ 2,mlp.down_proj,0.0000115634,0.01000,2.247
23
+ 3,self_attn.q_proj,0.0000279007,0.01000,2.866
24
+ 3,self_attn.v_proj,0.0000116954,0.01000,2.868
25
+ 3,self_attn.k_proj,0.0000279987,0.01000,2.867
26
+ 3,self_attn.o_proj,0.0000039384,0.01000,0.513
27
+ 3,mlp.gate_proj,0.0000200172,0.01000,1.481
28
+ 3,mlp.up_proj,0.0000190241,0.01000,1.485
29
+ 3,mlp.down_proj,0.0000189716,0.01000,2.240
30
+ 4,self_attn.k_proj,0.0000303030,0.01000,2.821
31
+ 4,self_attn.q_proj,0.0000313628,0.01000,2.827
32
+ 4,self_attn.v_proj,0.0000132143,0.01000,2.832
33
+ 4,self_attn.o_proj,0.0000067843,0.01000,0.521
34
+ 4,mlp.gate_proj,0.0000248752,0.01000,1.564
35
+ 4,mlp.up_proj,0.0000240593,0.01000,1.576
36
+ 4,mlp.down_proj,0.0000269302,0.01000,2.233
37
+ 5,self_attn.q_proj,0.0000303804,0.01000,3.091
38
+ 5,self_attn.v_proj,0.0000134855,0.01000,3.114
39
+ 5,self_attn.k_proj,0.0000293331,0.01000,3.119
40
+ 5,self_attn.o_proj,0.0000087682,0.01000,0.520
41
+ 5,mlp.gate_proj,0.0000296132,0.01000,1.488
42
+ 5,mlp.up_proj,0.0000298002,0.01000,1.496
43
+ 5,mlp.down_proj,0.0000350293,0.01000,2.246
44
+ 6,self_attn.v_proj,0.0000167096,0.01000,3.055
45
+ 6,self_attn.k_proj,0.0000338393,0.01000,3.069
46
+ 6,self_attn.q_proj,0.0000360446,0.01000,3.076
47
+ 6,self_attn.o_proj,0.0000110559,0.01000,0.520
48
+ 6,mlp.up_proj,0.0000359598,0.01000,1.477
49
+ 6,mlp.gate_proj,0.0000351025,0.01000,1.482
50
+ 6,mlp.down_proj,0.0000469828,0.01000,2.241
51
+ 7,self_attn.v_proj,0.0000171332,0.01000,2.889
52
+ 7,self_attn.k_proj,0.0000349175,0.01000,2.896
53
+ 7,self_attn.q_proj,0.0000433119,0.01000,2.908
54
+ 7,self_attn.o_proj,0.0000176624,0.01000,0.513
55
+ 7,mlp.gate_proj,0.0000409533,0.01000,1.802
56
+ 7,mlp.up_proj,0.0000437307,0.01000,1.815
57
+ 7,mlp.down_proj,0.0001177320,0.01000,2.252
58
+ 8,self_attn.v_proj,0.0000229655,0.01000,2.950
59
+ 8,self_attn.k_proj,0.0000330289,0.01000,2.961
60
+ 8,self_attn.q_proj,0.0000333941,0.01000,2.965
61
+ 8,self_attn.o_proj,0.0000306277,0.01000,0.516
62
+ 8,mlp.gate_proj,0.0000485873,0.01000,1.752
63
+ 8,mlp.up_proj,0.0000508907,0.01000,1.763
64
+ 8,mlp.down_proj,0.0000870766,0.01000,2.244
65
+ 9,self_attn.k_proj,0.0000311102,0.01000,2.788
66
+ 9,self_attn.v_proj,0.0000199893,0.01000,2.792
67
+ 9,self_attn.q_proj,0.0000312271,0.01000,2.807
68
+ 9,self_attn.o_proj,0.0000418638,0.01000,0.526
69
+ 9,mlp.up_proj,0.0000522324,0.01000,1.603
70
+ 9,mlp.gate_proj,0.0000460634,0.01000,1.610
71
+ 9,mlp.down_proj,0.0000900177,0.01000,2.246
72
+ 10,self_attn.k_proj,0.0000330314,0.01000,2.658
73
+ 10,self_attn.q_proj,0.0000336916,0.01000,2.670
74
+ 10,self_attn.v_proj,0.0000205761,0.01000,2.674
75
+ 10,self_attn.o_proj,0.0000528915,0.01000,0.511
76
+ 10,mlp.gate_proj,0.0000452965,0.01000,1.449
77
+ 10,mlp.up_proj,0.0000507293,0.01000,1.458
78
+ 10,mlp.down_proj,0.0001041150,0.01000,2.244
79
+ 11,self_attn.q_proj,0.0000339143,0.01000,2.593
80
+ 11,self_attn.k_proj,0.0000327819,0.01000,2.608
81
+ 11,self_attn.v_proj,0.0000201354,0.01000,2.611
82
+ 11,self_attn.o_proj,0.0000570022,0.01000,0.510
83
+ 11,mlp.gate_proj,0.0000448873,0.01000,1.497
84
+ 11,mlp.up_proj,0.0000498736,0.01000,1.505
85
+ 11,mlp.down_proj,0.0001093105,0.01000,2.235
86
+ 12,self_attn.v_proj,0.0000288429,0.01000,2.777
87
+ 12,self_attn.q_proj,0.0000382820,0.01000,2.792
88
+ 12,self_attn.k_proj,0.0000359018,0.01000,2.796
89
+ 12,self_attn.o_proj,0.0000775334,0.01000,0.518
90
+ 12,mlp.up_proj,0.0000522739,0.01000,1.495
91
+ 12,mlp.gate_proj,0.0000468500,0.01000,1.503
92
+ 12,mlp.down_proj,0.0001210542,0.01000,2.257
93
+ 13,self_attn.q_proj,0.0000366947,0.01000,2.748
94
+ 13,self_attn.k_proj,0.0000351594,0.01000,2.761
95
+ 13,self_attn.v_proj,0.0000254146,0.01000,2.763
96
+ 13,self_attn.o_proj,0.0000641707,0.01000,0.518
97
+ 13,mlp.gate_proj,0.0000479099,0.01000,1.566
98
+ 13,mlp.up_proj,0.0000538420,0.01000,1.565
99
+ 13,mlp.down_proj,0.0001396372,0.01000,2.245
100
+ 14,self_attn.k_proj,0.0000351832,0.01000,2.807
101
+ 14,self_attn.q_proj,0.0000347396,0.01000,2.819
102
+ 14,self_attn.v_proj,0.0000274799,0.01000,2.821
103
+ 14,self_attn.o_proj,0.0000815302,0.01000,0.518
104
+ 14,mlp.gate_proj,0.0000462022,0.01000,1.499
105
+ 14,mlp.up_proj,0.0000530818,0.01000,1.501
106
+ 14,mlp.down_proj,0.0001676278,0.01000,2.251
107
+ 15,self_attn.k_proj,0.0000372603,0.01000,2.787
108
+ 15,self_attn.q_proj,0.0000383167,0.01000,2.800
109
+ 15,self_attn.v_proj,0.0000424176,0.01000,2.801
110
+ 15,self_attn.o_proj,0.0000957277,0.01000,0.514
111
+ 15,mlp.gate_proj,0.0000498395,0.01000,1.561
112
+ 15,mlp.up_proj,0.0000581153,0.01000,1.568
113
+ 15,mlp.down_proj,0.0002431892,0.01000,2.249
114
+ 16,self_attn.v_proj,0.0000379547,0.01000,2.653
115
+ 16,self_attn.k_proj,0.0000376430,0.01000,2.656
116
+ 16,self_attn.q_proj,0.0000378731,0.01000,2.666
117
+ 16,self_attn.o_proj,0.0001156948,0.01000,0.522
118
+ 16,mlp.gate_proj,0.0000605396,0.01000,1.422
119
+ 16,mlp.up_proj,0.0000715840,0.01000,1.430
120
+ 16,mlp.down_proj,0.0003943855,0.01000,2.229
121
+ 17,self_attn.v_proj,0.0000532933,0.01000,2.644
122
+ 17,self_attn.k_proj,0.0000369317,0.01000,2.658
123
+ 17,self_attn.q_proj,0.0000371970,0.01000,2.660
124
+ 17,self_attn.o_proj,0.0001922159,0.01000,0.518
125
+ 17,mlp.up_proj,0.0000884403,0.01000,1.477
126
+ 17,mlp.gate_proj,0.0000753017,0.01000,1.480
127
+ 17,mlp.down_proj,0.0006146104,0.01000,2.229
128
+ 18,self_attn.k_proj,0.0000379321,0.01000,2.630
129
+ 18,self_attn.q_proj,0.0000396400,0.01000,2.632
130
+ 18,self_attn.v_proj,0.0000644059,0.01000,2.643
131
+ 18,self_attn.o_proj,0.0002345307,0.01000,0.511
132
+ 18,mlp.up_proj,0.0001173110,0.01000,1.499
133
+ 18,mlp.gate_proj,0.0000962752,0.01000,1.507
134
+ 18,mlp.down_proj,0.0010544495,0.01000,2.228
135
+ 19,self_attn.q_proj,0.0000437249,0.01000,2.715
136
+ 19,self_attn.v_proj,0.0000919667,0.01000,2.726
137
+ 19,self_attn.k_proj,0.0000414613,0.01000,2.733
138
+ 19,self_attn.o_proj,0.0002694627,0.01000,0.512
139
+ 19,mlp.up_proj,0.0001421104,0.01000,1.539
140
+ 19,mlp.gate_proj,0.0001130587,0.01000,1.543
141
+ 19,mlp.down_proj,0.0016527406,0.01000,2.238
142
+ 20,self_attn.k_proj,0.0000413833,0.01000,2.821
143
+ 20,self_attn.v_proj,0.0001096809,0.01000,2.835
144
+ 20,self_attn.q_proj,0.0000441594,0.01000,2.844
145
+ 20,self_attn.o_proj,0.0002836728,0.01000,0.514
146
+ 20,mlp.gate_proj,0.0001290659,0.01000,1.601
147
+ 20,mlp.up_proj,0.0001646571,0.01000,1.609
148
+ 20,mlp.down_proj,0.0022439079,0.01000,2.246
149
+ 21,self_attn.q_proj,0.0000495705,0.01000,2.713
150
+ 21,self_attn.v_proj,0.0001433593,0.01000,2.729
151
+ 21,self_attn.k_proj,0.0000476724,0.01000,2.732
152
+ 21,self_attn.o_proj,0.0004578074,0.01000,0.514
153
+ 21,mlp.gate_proj,0.0001455639,0.01000,1.385
154
+ 21,mlp.up_proj,0.0001890752,0.01000,1.386
155
+ 21,mlp.down_proj,0.0029423840,0.01000,2.229
156
+ 22,self_attn.v_proj,0.0001481852,0.01000,2.836
157
+ 22,self_attn.k_proj,0.0000487704,0.01000,2.857
158
+ 22,self_attn.q_proj,0.0000513559,0.01000,2.860
159
+ 22,self_attn.o_proj,0.0007317386,0.01000,0.512
160
+ 22,mlp.up_proj,0.0002143792,0.01000,1.513
161
+ 22,mlp.gate_proj,0.0001664193,0.01000,1.528
162
+ 22,mlp.down_proj,0.0038099554,0.01000,2.240
163
+ 23,self_attn.k_proj,0.0000464830,0.01000,2.757
164
+ 23,self_attn.v_proj,0.0001884275,0.01000,2.770
165
+ 23,self_attn.q_proj,0.0000449397,0.01000,2.779
166
+ 23,self_attn.o_proj,0.0018054827,0.01000,0.519
167
+ 23,mlp.up_proj,0.0002294396,0.01000,1.551
168
+ 23,mlp.gate_proj,0.0001899644,0.01000,1.555
169
+ 23,mlp.down_proj,0.0084354896,0.01000,2.239
smollm2-1p7b__gptq__wikitext2__n128__s1/quantize_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bits": 4,
3
+ "group_size": 128,
4
+ "desc_act": true,
5
+ "lm_head": false,
6
+ "method": "gptq",
7
+ "quant_method": "gptq",
8
+ "format": "gptq",
9
+ "checkpoint_format": "gptq",
10
+ "pack_dtype": "int32",
11
+ "meta": {
12
+ "quantizer": [
13
+ "gptqmodel:7.3.2"
14
+ ],
15
+ "uri": "https://github.com/modelcloud/gptqmodel",
16
+ "damp_percent": 0.01,
17
+ "damp_auto_increment": 0.01,
18
+ "static_groups": false,
19
+ "true_sequential": true,
20
+ "mse": 0.0,
21
+ "gptaq": null,
22
+ "foem": null,
23
+ "act_group_aware": false,
24
+ "fallback": {
25
+ "strategy": "rtn",
26
+ "threshold": "0.5%",
27
+ "smooth": null
28
+ },
29
+ "offload_to_disk": true,
30
+ "offload_to_disk_path": "/tmp/gptqmodel_82gz4k5s",
31
+ "pack_impl": "cpu",
32
+ "gc_mode": "interval",
33
+ "wait_for_submodule_finalizers": false,
34
+ "auto_forward_data_parallel": true,
35
+ "dense_vram_strategy": "exclusive",
36
+ "dense_vram_strategy_devices": null,
37
+ "moe_vram_strategy": "exclusive",
38
+ "moe_vram_strategy_devices": null,
39
+ "mock_quantization": false,
40
+ "hessian": {
41
+ "chunk_size": null,
42
+ "chunk_bytes": null,
43
+ "staging_dtype": "float32"
44
+ }
45
+ },
46
+ "sym": true
47
+ }
smollm2-1p7b__gptq__wikitext2__n128__s1/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
smollm2-1p7b__gptq__wikitext2__n128__s1/tokenizer_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": "<|im_start|>",
5
+ "clean_up_tokenization_spaces": false,
6
+ "eos_token": "<|im_end|>",
7
+ "errors": "replace",
8
+ "extra_special_tokens": [
9
+ "<|im_start|>",
10
+ "<|im_end|>"
11
+ ],
12
+ "is_local": false,
13
+ "local_files_only": false,
14
+ "model_max_length": 8192,
15
+ "pad_token": "<|im_end|>",
16
+ "tokenizer_class": "GPT2Tokenizer",
17
+ "unk_token": "<|endoftext|>",
18
+ "vocab_size": 49152
19
+ }