Text Generation
Transformers
PyTorch
gpt2
text-generation-inference
Inference Endpoints
4-bit precision
gptq
File size: 1,533 Bytes
08a7310
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "_name_or_path": "AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct",
  "activation_function": "gelu",
  "apply_query_key_layer_scaling": true,
  "architectures": [
    "GPT2LMHeadModel"
  ],
  "attn_pdrop": 0.1,
  "bos_token_id": 1,
  "embd_pdrop": 0.1,
  "eos_token_id": 1,
  "initializer_range": 0.01,
  "layer_norm_epsilon": 1e-05,
  "max_length": 2048,
  "model_type": "gpt2",
  "n_embd": 4096,
  "n_head": 32,
  "n_inner": 16384,
  "n_layer": 32,
  "n_positions": 2048,
  "normalize_attention_scores": true,
  "pad_token_id": 0,
  "quantization_config": {
    "batch_size": 1,
    "bits": 4,
    "block_name_to_quantize": "transformer.h",
    "damp_percent": 0.1,
    "dataset": "c4",
    "desc_act": false,
    "disable_exllama": true,
    "group_size": 128,
    "max_input_length": null,
    "model_seqlen": 2048,
    "module_name_preceding_first_block": [
      "transformer.wte",
      "transformer.wpe",
      "transformer.drop"
    ],
    "pad_token_id": null,
    "quant_method": "gptq",
    "sym": true,
    "tokenizer": null,
    "true_sequential": true,
    "use_cuda_fp16": true
  },
  "reorder_and_upcast_attn": false,
  "resid_pdrop": 0.1,
  "scale_attn_by_inverse_layer_idx": false,
  "scale_attn_weights": true,
  "summary_activation": null,
  "summary_first_dropout": 0.1,
  "summary_proj_to_labels": true,
  "summary_type": "cls_index",
  "summary_use_proj": true,
  "tokenizer_class": "GPTSw3Tokenizer",
  "torch_dtype": "float16",
  "transformers_version": "4.34.1",
  "use_cache": true,
  "vocab_size": 64000
}