Text Generation
Transformers
PyTorch
Safetensors
English
gpt_refact
code
custom_code
Eval Results
4 papers
Refact-1_6B-fim / config.json
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{
"architectures": [
"GPTRefactForCausalLM"
],
"attention_bias_in_fp32": true,
"attention_softmax_in_fp32": true,
"auto_map": {
"AutoConfig": "configuration_gpt_refact.GPTRefactConfig",
"AutoModelForCausalLM": "modeling_gpt_refact.GPTRefactForCausalLM"
},
"do_sample": true,
"eos_token_id": 0,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_type": "gpt_refact",
"multi_query": true,
"n_embd": 2048,
"n_head": 32,
"n_inner": null,
"n_layer": 32,
"n_positions": 4096,
"scale_attention_softmax_in_fp32": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.31.0",
"use_cache": true,
"vocab_size": 49216
}