Parrot-Coder / config.json
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{
"activation_function": "gelu_new",
"add_cross_attention": false,
"architectures": [
"GPT2LMHeadModel"
],
"attn_pdrop": 0.1,
"bos_token_id": 50256,
"created_by": "Inserloft Research",
"description": "Modelo de 200M de par\u00e1metros enfocado en autocompletado r\u00e1pido de c\u00f3digo.",
"dtype": "float16",
"embd_pdrop": 0.1,
"eos_token_id": 50256,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_name": "Parrot Coder",
"model_type": "gpt2",
"n_embd": 1024,
"n_head": 16,
"n_inner": null,
"n_layer": 16,
"n_positions": 2048,
"pad_token_id": null,
"reorder_and_upcast_attn": false,
"resid_pdrop": 0.1,
"scale_attn_by_inverse_layer_idx": false,
"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,
"tags": [
"code-generation",
"autocompletion",
"inserloft"
],
"tie_word_embeddings": true,
"transformers_version": "5.16.1",
"use_cache": false,
"vocab_size": 50257,
"web": "Research.Inserloft.com",
"n_ctx": 2048
}