starcoderbase-1b-GPTQ / config.json
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{
"_name_or_path": "bigcode/starcoderbase-1b",
"activation_function": "gelu_pytorch_tanh",
"architectures": [
"GPTBigCodeForCausalLM"
],
"attention_softmax_in_fp32": true,
"attn_pdrop": 0.1,
"bos_token_id": 0,
"embd_pdrop": 0.1,
"eos_token_id": 0,
"inference_runner": 0,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"max_batch_size": null,
"max_sequence_length": null,
"model_type": "gpt_bigcode",
"multi_query": true,
"n_embd": 2048,
"n_head": 16,
"n_inner": 8192,
"n_layer": 24,
"n_positions": 8192,
"pad_key_length": true,
"pre_allocate_kv_cache": false,
"quantization_config": {
"bits": 4,
"damp_percent": 0.01,
"desc_act": false,
"group_size": 128,
"is_marlin_format": false,
"model_file_base_name": "gptq_model-4bit-128g",
"model_name_or_path": "bigcode/starcoderbase-1b-GPTQ",
"quant_method": "gptq",
"static_groups": false,
"sym": true,
"true_sequential": true
},
"resid_pdrop": 0.1,
"scale_attention_softmax_in_fp32": true,
"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,
"torch_dtype": "float16",
"transformers_version": "4.40.1",
"use_cache": true,
"validate_runner_input": true,
"vocab_size": 49152
}