Text Generation
Transformers
PyTorch
English
retnet
custom_code
File size: 1,332 Bytes
7110f83
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "_name_or_path": "/nfs/checkpoints/RetNet-410m-bs1024-pile_dedup-copy_exp-skip_reten/hf-iter-050000-ckpt",
  "activation_dropout": 0.0,
  "activation_fn": "gelu",
  "architectures": [
    "RetNetForCausalLM"
  ],
  "auto_map": {
    "AutoConfig": "configuration_retnet.RetNetConfig",
    "AutoModelForCausalLM": "modeling_retnet.RetNetForCausalLM"
  },
  "bos_token_id": 1,
  "decoder_embed_dim": 1024,
  "decoder_ffn_embed_dim": 4096,
  "decoder_layers": 24,
  "decoder_normalize_before": true,
  "decoder_retention_heads": 4,
  "decoder_value_embed_dim": 1024,
  "deepnorm": false,
  "drop_path_rate": 0.0,
  "dropout": 0.0,
  "eos_token_id": 2,
  "forward_impl": "parallel",
  "groupnorm_affine": false,
  "initializer_range": 0.02,
  "is_decoder": true,
  "layernorm_embedding": false,
  "layernorm_eps": 1e-05,
  "max_position_embeddings": 2048,
  "model_type": "retnet",
  "no_scale_embedding": true,
  "output_retentions": false,
  "parallel_residual": true,
  "recurrent_chunk_size": 512,
  "rotary_percentage": 0.25,
  "subln": false,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.31.0",
  "use_bias": true,
  "use_cache": false,
  "use_ffn_rms_norm": false,
  "use_glu": false,
  "use_lm_decay": false,
  "use_rms_norm": false,
  "vocab_size": 50254,
  "z_loss_coeff": 0.0
}