Mohaaxa commited on
Commit
99a1487
·
verified ·
1 Parent(s): 74ad13f

Upload folder using huggingface_hub

Browse files
smollm2-1p7b__gptq__wikitext2__n512__s2/BENCH_DONE ADDED
@@ -0,0 +1 @@
 
 
1
+ 2026-07-31T01:11:39.840633+00:00
smollm2-1p7b__gptq__wikitext2__n512__s2/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__n512__s2/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_87e5g0nu",
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__n512__s2/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__n512__s2/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:16d4e9509a914145a9165df0207b6c398ac14129163bb052a5f39ab82fded800
3
+ size 1040336952
smollm2-1p7b__gptq__wikitext2__n512__s2/quant_log.csv ADDED
@@ -0,0 +1,169 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ layer,module,loss,samples,damp,time
2
+ 0,self_attn.v_proj,0.0000000333,0.01000,2.816
3
+ 0,self_attn.q_proj,0.0000012811,0.01000,2.825
4
+ 0,self_attn.k_proj,0.0000009377,0.01000,2.832
5
+ 0,self_attn.o_proj,0.0000000279,0.01000,0.519
6
+ 0,mlp.up_proj,0.0000013019,0.01000,1.557
7
+ 0,mlp.gate_proj,0.0000013815,0.01000,1.562
8
+ 0,mlp.down_proj,0.0000007724,0.01000,2.258
9
+ 1,self_attn.v_proj,0.0000007529,0.01000,2.809
10
+ 1,self_attn.k_proj,0.0000031446,0.01000,2.815
11
+ 1,self_attn.q_proj,0.0000035152,0.01000,2.817
12
+ 1,self_attn.o_proj,0.0000003155,0.01000,0.525
13
+ 1,mlp.up_proj,0.0000022557,0.01000,1.537
14
+ 1,mlp.gate_proj,0.0000026097,0.01000,1.539
15
+ 1,mlp.down_proj,0.0000112013,0.01000,2.261
16
+ 2,self_attn.q_proj,0.0000057708,0.01000,2.809
17
+ 2,self_attn.v_proj,0.0000020155,0.01000,2.816
18
+ 2,self_attn.k_proj,0.0000051569,0.01000,2.826
19
+ 2,self_attn.o_proj,0.0000008138,0.01000,0.524
20
+ 2,mlp.gate_proj,0.0000040314,0.01000,1.503
21
+ 2,mlp.up_proj,0.0000035875,0.01000,1.511
22
+ 2,mlp.down_proj,0.0000030761,0.01000,2.246
23
+ 3,self_attn.q_proj,0.0000070932,0.01000,2.762
24
+ 3,self_attn.v_proj,0.0000029725,0.01000,2.769
25
+ 3,self_attn.k_proj,0.0000071055,0.01000,2.771
26
+ 3,self_attn.o_proj,0.0000010246,0.01000,0.517
27
+ 3,mlp.gate_proj,0.0000050922,0.01000,1.532
28
+ 3,mlp.up_proj,0.0000048381,0.01000,1.538
29
+ 3,mlp.down_proj,0.0000050021,0.01000,2.253
30
+ 4,self_attn.k_proj,0.0000076992,0.01000,3.039
31
+ 4,self_attn.q_proj,0.0000079792,0.01000,3.045
32
+ 4,self_attn.v_proj,0.0000033628,0.01000,3.051
33
+ 4,self_attn.o_proj,0.0000017614,0.01000,0.525
34
+ 4,mlp.up_proj,0.0000061771,0.01000,1.615
35
+ 4,mlp.gate_proj,0.0000063830,0.01000,1.627
36
+ 4,mlp.down_proj,0.0000071341,0.01000,2.268
37
+ 5,self_attn.q_proj,0.0000077574,0.01000,2.975
38
+ 5,self_attn.k_proj,0.0000074873,0.01000,2.998
39
+ 5,self_attn.v_proj,0.0000034382,0.01000,3.005
40
+ 5,self_attn.o_proj,0.0000022410,0.01000,0.598
41
+ 5,mlp.up_proj,0.0000075994,0.01000,1.534
42
+ 5,mlp.gate_proj,0.0000075600,0.01000,1.542
43
+ 5,mlp.down_proj,0.0000092125,0.01000,2.263
44
+ 6,self_attn.q_proj,0.0000091664,0.01000,2.846
45
+ 6,self_attn.k_proj,0.0000085923,0.01000,2.867
46
+ 6,self_attn.v_proj,0.0000042419,0.01000,2.876
47
+ 6,self_attn.o_proj,0.0000028034,0.01000,0.521
48
+ 6,mlp.up_proj,0.0000091521,0.01000,1.662
49
+ 6,mlp.gate_proj,0.0000089437,0.01000,1.667
50
+ 6,mlp.down_proj,0.0000123253,0.01000,2.268
51
+ 7,self_attn.v_proj,0.0000043363,0.01000,2.950
52
+ 7,self_attn.k_proj,0.0000088446,0.01000,2.971
53
+ 7,self_attn.q_proj,0.0000109863,0.01000,2.977
54
+ 7,self_attn.o_proj,0.0000044925,0.01000,0.514
55
+ 7,mlp.gate_proj,0.0000103722,0.01000,1.530
56
+ 7,mlp.up_proj,0.0000110638,0.01000,1.537
57
+ 7,mlp.down_proj,0.0000332371,0.01000,2.271
58
+ 8,self_attn.q_proj,0.0000084329,0.01000,2.837
59
+ 8,self_attn.k_proj,0.0000083392,0.01000,2.835
60
+ 8,self_attn.v_proj,0.0000057962,0.01000,2.848
61
+ 8,self_attn.o_proj,0.0000078580,0.01000,0.521
62
+ 8,mlp.gate_proj,0.0000123636,0.01000,1.564
63
+ 8,mlp.up_proj,0.0000129451,0.01000,1.572
64
+ 8,mlp.down_proj,0.0000227164,0.01000,2.296
65
+ 9,self_attn.q_proj,0.0000079129,0.01000,2.891
66
+ 9,self_attn.v_proj,0.0000050649,0.01000,2.910
67
+ 9,self_attn.k_proj,0.0000078825,0.01000,2.919
68
+ 9,self_attn.o_proj,0.0000108470,0.01000,0.517
69
+ 9,mlp.up_proj,0.0000132258,0.01000,1.511
70
+ 9,mlp.gate_proj,0.0000116503,0.01000,1.512
71
+ 9,mlp.down_proj,0.0000233046,0.01000,2.289
72
+ 10,self_attn.k_proj,0.0000083208,0.01000,2.741
73
+ 10,self_attn.q_proj,0.0000085153,0.01000,2.749
74
+ 10,self_attn.v_proj,0.0000051896,0.01000,2.761
75
+ 10,self_attn.o_proj,0.0000132367,0.01000,0.515
76
+ 10,mlp.gate_proj,0.0000115032,0.01000,1.532
77
+ 10,mlp.up_proj,0.0000128913,0.01000,1.531
78
+ 10,mlp.down_proj,0.0000269980,0.01000,2.282
79
+ 11,self_attn.q_proj,0.0000085876,0.01000,2.948
80
+ 11,self_attn.k_proj,0.0000083093,0.01000,2.952
81
+ 11,self_attn.v_proj,0.0000050980,0.01000,2.963
82
+ 11,self_attn.o_proj,0.0000143379,0.01000,0.539
83
+ 11,mlp.up_proj,0.0000127134,0.01000,1.649
84
+ 11,mlp.gate_proj,0.0000114351,0.01000,1.661
85
+ 11,mlp.down_proj,0.0000284588,0.01000,2.305
86
+ 12,self_attn.q_proj,0.0000096726,0.01000,2.958
87
+ 12,self_attn.v_proj,0.0000072929,0.01000,2.967
88
+ 12,self_attn.k_proj,0.0000090924,0.01000,2.969
89
+ 12,self_attn.o_proj,0.0000191464,0.01000,0.511
90
+ 12,mlp.up_proj,0.0000133469,0.01000,1.556
91
+ 12,mlp.gate_proj,0.0000119817,0.01000,1.564
92
+ 12,mlp.down_proj,0.0000316646,0.01000,2.257
93
+ 13,self_attn.k_proj,0.0000089491,0.01000,2.931
94
+ 13,self_attn.v_proj,0.0000064649,0.01000,2.938
95
+ 13,self_attn.q_proj,0.0000093323,0.01000,2.951
96
+ 13,self_attn.o_proj,0.0000165875,0.01000,0.512
97
+ 13,mlp.up_proj,0.0000137162,0.01000,1.554
98
+ 13,mlp.gate_proj,0.0000122159,0.01000,1.563
99
+ 13,mlp.down_proj,0.0000361139,0.01000,2.259
100
+ 14,self_attn.q_proj,0.0000087610,0.01000,3.321
101
+ 14,self_attn.v_proj,0.0000069354,0.01000,3.322
102
+ 14,self_attn.k_proj,0.0000088415,0.01000,3.340
103
+ 14,self_attn.o_proj,0.0000206170,0.01000,0.513
104
+ 14,mlp.gate_proj,0.0000118199,0.01000,1.643
105
+ 14,mlp.up_proj,0.0000135845,0.01000,1.662
106
+ 14,mlp.down_proj,0.0000437735,0.01000,2.252
107
+ 15,self_attn.k_proj,0.0000093529,0.01000,2.852
108
+ 15,self_attn.v_proj,0.0000106334,0.01000,2.853
109
+ 15,self_attn.q_proj,0.0000096354,0.01000,2.860
110
+ 15,self_attn.o_proj,0.0000239700,0.01000,0.597
111
+ 15,mlp.up_proj,0.0000147293,0.01000,1.584
112
+ 15,mlp.gate_proj,0.0000126494,0.01000,1.591
113
+ 15,mlp.down_proj,0.0000632347,0.01000,2.268
114
+ 16,self_attn.v_proj,0.0000095744,0.01000,3.069
115
+ 16,self_attn.q_proj,0.0000095326,0.01000,3.093
116
+ 16,self_attn.k_proj,0.0000094968,0.01000,3.100
117
+ 16,self_attn.o_proj,0.0000290412,0.01000,0.522
118
+ 16,mlp.gate_proj,0.0000153931,0.01000,1.645
119
+ 16,mlp.up_proj,0.0000181999,0.01000,1.655
120
+ 16,mlp.down_proj,0.0001021158,0.01000,2.263
121
+ 17,self_attn.k_proj,0.0000093579,0.01000,2.984
122
+ 17,self_attn.q_proj,0.0000094195,0.01000,2.990
123
+ 17,self_attn.v_proj,0.0000134769,0.01000,2.999
124
+ 17,self_attn.o_proj,0.0000490915,0.01000,0.525
125
+ 17,mlp.gate_proj,0.0000192805,0.01000,1.714
126
+ 17,mlp.up_proj,0.0000226115,0.01000,1.736
127
+ 17,mlp.down_proj,0.0001624909,0.01000,2.251
128
+ 18,self_attn.k_proj,0.0000096549,0.01000,3.043
129
+ 18,self_attn.q_proj,0.0000100877,0.01000,3.058
130
+ 18,self_attn.v_proj,0.0000163757,0.01000,3.067
131
+ 18,self_attn.o_proj,0.0000589167,0.01000,0.525
132
+ 18,mlp.up_proj,0.0000300164,0.01000,1.823
133
+ 18,mlp.gate_proj,0.0000246796,0.01000,1.833
134
+ 18,mlp.down_proj,0.0002798562,0.01000,2.271
135
+ 19,self_attn.k_proj,0.0000106232,0.01000,2.948
136
+ 19,self_attn.v_proj,0.0000235840,0.01000,2.970
137
+ 19,self_attn.q_proj,0.0000111949,0.01000,2.975
138
+ 19,self_attn.o_proj,0.0000694785,0.01000,0.523
139
+ 19,mlp.gate_proj,0.0000292226,0.01000,1.539
140
+ 19,mlp.up_proj,0.0000366574,0.01000,1.547
141
+ 19,mlp.down_proj,0.0004464538,0.01000,2.274
142
+ 20,self_attn.v_proj,0.0000284118,0.01000,2.952
143
+ 20,self_attn.q_proj,0.0000114143,0.01000,2.982
144
+ 20,self_attn.k_proj,0.0000107031,0.01000,2.986
145
+ 20,self_attn.o_proj,0.0000727793,0.01000,0.518
146
+ 20,mlp.gate_proj,0.0000334764,0.01000,1.682
147
+ 20,mlp.up_proj,0.0000426923,0.01000,1.691
148
+ 20,mlp.down_proj,0.0006072192,0.01000,2.350
149
+ 21,self_attn.v_proj,0.0000369773,0.01000,2.877
150
+ 21,self_attn.q_proj,0.0000128012,0.01000,2.909
151
+ 21,self_attn.k_proj,0.0000122959,0.01000,2.909
152
+ 21,self_attn.o_proj,0.0001182307,0.01000,0.528
153
+ 21,mlp.gate_proj,0.0000378574,0.01000,1.649
154
+ 21,mlp.up_proj,0.0000491586,0.01000,1.677
155
+ 21,mlp.down_proj,0.0007975217,0.01000,2.275
156
+ 22,self_attn.q_proj,0.0000132414,0.01000,3.303
157
+ 22,self_attn.k_proj,0.0000125570,0.01000,3.356
158
+ 22,self_attn.v_proj,0.0000381319,0.01000,3.370
159
+ 22,self_attn.o_proj,0.0001885067,0.01000,0.521
160
+ 22,mlp.gate_proj,0.0000434872,0.01000,1.658
161
+ 22,mlp.up_proj,0.0000561142,0.01000,1.670
162
+ 22,mlp.down_proj,0.0010418120,0.01000,2.274
163
+ 23,self_attn.k_proj,0.0000119905,0.01000,2.964
164
+ 23,self_attn.v_proj,0.0000484822,0.01000,2.985
165
+ 23,self_attn.q_proj,0.0000115985,0.01000,3.003
166
+ 23,self_attn.o_proj,0.0004749729,0.01000,0.564
167
+ 23,mlp.up_proj,0.0000598573,0.01000,1.599
168
+ 23,mlp.gate_proj,0.0000495547,0.01000,1.609
169
+ 23,mlp.down_proj,0.0022441864,0.01000,2.260
smollm2-1p7b__gptq__wikitext2__n512__s2/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_87e5g0nu",
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__n512__s2/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
smollm2-1p7b__gptq__wikitext2__n512__s2/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
+ }