File size: 8,354 Bytes
24fea7b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
{
  "_name_or_path": "/home/dsikka/.cache/huggingface/hub/models--TinyLlama--TinyLlama-1.1B-Chat-v1.0/snapshots/fe8a4ea1ffedaf415f4da2f062534de366a451e6",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "quantization_config": {
    "config_groups": {
      "group_0": {
        "input_activations": null,
        "output_activations": null,
        "targets": [
          "Linear"
        ],
        "weights": {
          "actorder": null,
          "block_structure": null,
          "dynamic": false,
          "group_size": 128,
          "num_bits": 4,
          "observer": "minmax",
          "observer_kwargs": {},
          "strategy": "group",
          "symmetric": true,
          "type": "int"
        }
      }
    },
    "format": "pack-quantized",
    "global_compression_ratio": 1.883165566487463,
    "ignore": [
      "lm_head"
    ],
    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "compressed",
    "sparsity_config": {
      "format": "dense",
      "global_sparsity": 0.14297135853065746,
      "ignore": [
        "model.layers.0.self_attn.o_proj",
        "model.layers.0.mlp.gate_proj",
        "model.layers.0.mlp.up_proj",
        "model.layers.0.mlp.down_proj",
        "model.layers.1.self_attn.v_proj",
        "model.layers.1.self_attn.o_proj",
        "model.layers.1.mlp.gate_proj",
        "model.layers.1.mlp.up_proj",
        "model.layers.1.mlp.down_proj",
        "model.layers.2.self_attn.q_proj",
        "model.layers.2.self_attn.k_proj",
        "model.layers.2.self_attn.v_proj",
        "model.layers.2.self_attn.o_proj",
        "model.layers.2.mlp.gate_proj",
        "model.layers.2.mlp.up_proj",
        "model.layers.2.mlp.down_proj",
        "model.layers.3.self_attn.q_proj",
        "model.layers.3.self_attn.k_proj",
        "model.layers.3.self_attn.v_proj",
        "model.layers.3.self_attn.o_proj",
        "model.layers.3.mlp.gate_proj",
        "model.layers.3.mlp.up_proj",
        "model.layers.3.mlp.down_proj",
        "model.layers.4.self_attn.q_proj",
        "model.layers.4.self_attn.k_proj",
        "model.layers.4.self_attn.v_proj",
        "model.layers.4.self_attn.o_proj",
        "model.layers.4.mlp.gate_proj",
        "model.layers.4.mlp.up_proj",
        "model.layers.4.mlp.down_proj",
        "model.layers.5.self_attn.q_proj",
        "model.layers.5.self_attn.k_proj",
        "model.layers.5.self_attn.v_proj",
        "model.layers.5.self_attn.o_proj",
        "model.layers.5.mlp.gate_proj",
        "model.layers.5.mlp.up_proj",
        "model.layers.5.mlp.down_proj",
        "model.layers.6.self_attn.q_proj",
        "model.layers.6.self_attn.k_proj",
        "model.layers.6.self_attn.v_proj",
        "model.layers.6.self_attn.o_proj",
        "model.layers.6.mlp.gate_proj",
        "model.layers.6.mlp.up_proj",
        "model.layers.6.mlp.down_proj",
        "model.layers.7.self_attn.q_proj",
        "model.layers.7.self_attn.k_proj",
        "model.layers.7.self_attn.v_proj",
        "model.layers.7.self_attn.o_proj",
        "model.layers.7.mlp.gate_proj",
        "model.layers.7.mlp.up_proj",
        "model.layers.7.mlp.down_proj",
        "model.layers.8.self_attn.q_proj",
        "model.layers.8.self_attn.k_proj",
        "model.layers.8.self_attn.v_proj",
        "model.layers.8.self_attn.o_proj",
        "model.layers.8.mlp.gate_proj",
        "model.layers.8.mlp.up_proj",
        "model.layers.8.mlp.down_proj",
        "model.layers.9.self_attn.q_proj",
        "model.layers.9.self_attn.k_proj",
        "model.layers.9.self_attn.v_proj",
        "model.layers.9.self_attn.o_proj",
        "model.layers.9.mlp.gate_proj",
        "model.layers.9.mlp.up_proj",
        "model.layers.9.mlp.down_proj",
        "model.layers.10.self_attn.q_proj",
        "model.layers.10.self_attn.k_proj",
        "model.layers.10.self_attn.v_proj",
        "model.layers.10.self_attn.o_proj",
        "model.layers.10.mlp.gate_proj",
        "model.layers.10.mlp.up_proj",
        "model.layers.10.mlp.down_proj",
        "model.layers.11.self_attn.q_proj",
        "model.layers.11.self_attn.k_proj",
        "model.layers.11.self_attn.v_proj",
        "model.layers.11.self_attn.o_proj",
        "model.layers.11.mlp.gate_proj",
        "model.layers.11.mlp.up_proj",
        "model.layers.11.mlp.down_proj",
        "model.layers.12.self_attn.q_proj",
        "model.layers.12.self_attn.k_proj",
        "model.layers.12.self_attn.v_proj",
        "model.layers.12.self_attn.o_proj",
        "model.layers.12.mlp.gate_proj",
        "model.layers.12.mlp.up_proj",
        "model.layers.12.mlp.down_proj",
        "model.layers.13.self_attn.q_proj",
        "model.layers.13.self_attn.k_proj",
        "model.layers.13.self_attn.v_proj",
        "model.layers.13.self_attn.o_proj",
        "model.layers.13.mlp.gate_proj",
        "model.layers.13.mlp.up_proj",
        "model.layers.13.mlp.down_proj",
        "model.layers.14.self_attn.q_proj",
        "model.layers.14.self_attn.k_proj",
        "model.layers.14.self_attn.v_proj",
        "model.layers.14.self_attn.o_proj",
        "model.layers.14.mlp.gate_proj",
        "model.layers.14.mlp.up_proj",
        "model.layers.14.mlp.down_proj",
        "model.layers.15.self_attn.q_proj",
        "model.layers.15.self_attn.k_proj",
        "model.layers.15.self_attn.v_proj",
        "model.layers.15.self_attn.o_proj",
        "model.layers.15.mlp.gate_proj",
        "model.layers.15.mlp.up_proj",
        "model.layers.15.mlp.down_proj",
        "model.layers.16.self_attn.q_proj",
        "model.layers.16.self_attn.k_proj",
        "model.layers.16.self_attn.v_proj",
        "model.layers.16.self_attn.o_proj",
        "model.layers.16.mlp.gate_proj",
        "model.layers.16.mlp.up_proj",
        "model.layers.16.mlp.down_proj",
        "model.layers.17.self_attn.q_proj",
        "model.layers.17.self_attn.k_proj",
        "model.layers.17.self_attn.v_proj",
        "model.layers.17.self_attn.o_proj",
        "model.layers.17.mlp.gate_proj",
        "model.layers.17.mlp.up_proj",
        "model.layers.17.mlp.down_proj",
        "model.layers.18.self_attn.q_proj",
        "model.layers.18.self_attn.k_proj",
        "model.layers.18.self_attn.v_proj",
        "model.layers.18.self_attn.o_proj",
        "model.layers.18.mlp.gate_proj",
        "model.layers.18.mlp.up_proj",
        "model.layers.18.mlp.down_proj",
        "model.layers.19.self_attn.q_proj",
        "model.layers.19.self_attn.k_proj",
        "model.layers.19.self_attn.v_proj",
        "model.layers.19.self_attn.o_proj",
        "model.layers.19.mlp.gate_proj",
        "model.layers.19.mlp.up_proj",
        "model.layers.19.mlp.down_proj",
        "model.layers.20.self_attn.q_proj",
        "model.layers.20.self_attn.k_proj",
        "model.layers.20.self_attn.v_proj",
        "model.layers.20.self_attn.o_proj",
        "model.layers.20.mlp.gate_proj",
        "model.layers.20.mlp.up_proj",
        "model.layers.20.mlp.down_proj",
        "model.layers.21.self_attn.q_proj",
        "model.layers.21.self_attn.k_proj",
        "model.layers.21.self_attn.v_proj",
        "model.layers.21.self_attn.o_proj",
        "model.layers.21.mlp.gate_proj",
        "model.layers.21.mlp.up_proj",
        "model.layers.21.mlp.down_proj",
        "lm_head"
      ],
      "registry_requires_subclass": false,
      "sparsity_structure": "unstructured",
      "targets": [
        "model.layers.0.self_attn.q_proj",
        "model.layers.0.self_attn.k_proj",
        "model.layers.0.self_attn.v_proj",
        "model.layers.1.self_attn.q_proj",
        "model.layers.1.self_attn.k_proj"
      ]
    },
    "version": "0.6.0.20240926"
  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.45.0",
  "use_cache": true,
  "vocab_size": 32000
}