OPEA
/

Safetensors
llama
4-bit precision
awq
File size: 1,420 Bytes
0a3aa28
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "_name_or_path": "/models/falcon-three-10b",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 11,
  "head_dim": 256,
  "hidden_act": "silu",
  "hidden_size": 3072,
  "initializer_range": 0.02,
  "intermediate_size": 23040,
  "max_position_embeddings": 32768,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 12,
  "num_hidden_layers": 40,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "quantization_config": {
    "amp": true,
    "autoround_version": "0.4.2",
    "batch_size": 8,
    "bits": 4,
    "data_type": "int",
    "dataset": "NeelNanda/pile-10k",
    "enable_minmax_tuning": true,
    "enable_norm_bias_tuning": false,
    "enable_quanted_input": true,
    "gradient_accumulate_steps": 1,
    "group_size": 128,
    "iters": 1000,
    "low_gpu_mem_usage": false,
    "lr": 0.001,
    "minmax_lr": 0.001,
    "modules_to_not_convert": [
      "lm_head"
    ],
    "nsamples": 512,
    "quant_method": "awq",
    "scale_dtype": "torch.float16",
    "seqlen": 2048,
    "sym": true,
    "to_quant_block_names": null,
    "version": "gemm",
    "zero_point": false
  },
  "rms_norm_eps": 1e-06,
  "rope_scaling": null,
  "rope_theta": 1000042,
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.47.0",
  "use_cache": true,
  "vocab_size": 131072
}