Text Generation
Transformers
PyTorch
English
btlm
causal-lm
Cerebras
BTLM
custom_code
File size: 1,356 Bytes
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{
  "_name_or_path": "cerebras/btlm-3b-8k-dpo",
  "activation_function": "swiglu",
  "alibi_scaling": null,
  "architectures": [
    "BTLMLMHeadModel"
  ],
  "attn_pdrop": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_btlm.BTLMConfig",
    "AutoModel": "cerebras/btlm-3b-8k-base--modeling_btlm.BTLMModel",
    "AutoModelForCausalLM": "modeling_btlm.BTLMLMHeadModel",
    "AutoModelForQuestionAnswering": "cerebras/btlm-3b-8k-base--modeling_btlm.BTLMForQuestionAnswering",
    "AutoModelForSequenceClassification": "cerebras/btlm-3b-8k-base--modeling_btlm.BTLMForSequenceClassification",
    "AutoModelForTokenClassification": "cerebras/btlm-3b-8k-base--modeling_btlm.BTLMForTokenClassification"
  },
  "bos_token_id": 50256,
  "embd_pdrop": 0.0,
  "eos_token_id": 50256,
  "initializer_range": 0.073,
  "layer_norm_epsilon": 1e-05,
  "model_type": "btlm",
  "mup_embeddings_scale": 14.6,
  "mup_output_alpha": 2.22,
  "mup_scale_qk_dot_by_d": true,
  "mup_width_scale": 0.1,
  "n_embd": 2560,
  "n_head": 32,
  "n_inner": 6826,
  "n_layer": 32,
  "n_positions": 8192,
  "position_embedding_type": "alibi",
  "reorder_and_upcast_attn": false,
  "resid_pdrop": 0.0,
  "scale_attn_by_inverse_layer_idx": false,
  "scale_attn_weights": true,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.34.1",
  "use_cache": true,
  "vocab_size": 50257
}