Text Generation
Transformers
PyTorch
English
hf_olmo
conversational
custom_code
File size: 1,353 Bytes
41a9eb1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "activation_type": "swiglu",
  "alibi": false,
  "alibi_bias_max": 8.0,
  "architectures": [
    "OLMoForCausalLM"
  ],
  "attention_dropout": 0.0,
  "attention_layer_norm": false,
  "attention_layer_norm_with_affine": false,
  "auto_map": {
    "AutoConfig": "configuration_olmo.OLMoConfig",
    "AutoModelForCausalLM": "modeling_olmo.OLMoForCausalLM",
    "AutoTokenizer": [
      "tokenization_olmo_fast.OLMoTokenizerFast",
      "tokenization_olmo_fast.OLMoTokenizerFast"
    ]
  },
  "bias_for_layer_norm": false,
  "block_group_size": 1,
  "block_type": "sequential",
  "d_model": 4096,
  "embedding_dropout": 0.0,
  "embedding_size": 50304,
  "eos_token_id": 50279,
  "flash_attention": true,
  "include_bias": false,
  "init_cutoff_factor": null,
  "init_device": "meta",
  "init_fn": "mitchell",
  "init_std": 0.02,
  "layer_norm_type": "default",
  "layer_norm_with_affine": false,
  "max_sequence_length": 2048,
  "mlp_hidden_size": 22016,
  "mlp_ratio": 4,
  "model_type": "olmo",
  "multi_query_attention": false,
  "n_heads": 32,
  "n_layers": 32,
  "pad_token_id": 1,
  "precision": "amp_bf16",
  "residual_dropout": 0.0,
  "rope": true,
  "rope_full_precision": true,
  "scale_logits": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.35.0.dev0",
  "use_cache": true,
  "vocab_size": 50280,
  "weight_tying": false
}