tiny_starcoder_py / config.json
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{
"_name_or_path": "/fsx/bigcode/tinystarcoder/saves/large-model",
"activation_function": "gelu_pytorch_tanh",
"architectures": [
"GPTBigCodeForCausalLM"
],
"attention_softmax_in_fp32": true,
"multi_query": 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",
"n_embd": 768,
"n_head": 12,
"n_inner": 3072,
"n_layer": 20,
"n_positions": 8192,
"pad_key_length": true,
"pre_allocate_kv_cache": false,
"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": "float32",
"transformers_version": "4.28.1",
"use_cache": true,
"validate_runner_input": true,
"vocab_size": 49152
}