Text Generation
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crystalcoder
llm
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CrystalChat / config.json
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{
"_name_or_path": "CrystalCoder",
"activation_function": "swiglu",
"architectures": [
"CrystalCoderLMHeadModel"
],
"attn_pdrop": 0.0,
"auto_map": {
"AutoConfig": "configuration_crystalcoder.CrystalCoderConfig",
"AutoModel": "modeling_crystalcoder.CrystalCoderModel",
"AutoModelForCausalLM": "modeling_crystalcoder.CrystalCoderLMHeadModel"
},
"bos_token_id": 1,
"embd_pdrop": 0.0,
"eos_token_id": 2,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_type": "crystalcoder",
"mup_embeddings_scale": 14.6,
"mup_output_alpha": 2.22,
"mup_scale_qk_dot_by_d": true,
"mup_width_scale": 0.0625,
"n_embd": 4096,
"n_head": 32,
"n_inner": 10922,
"n_layer": 32,
"n_positions": 2048,
"position_embedding_type": "rotary",
"reorder_and_upcast_attn": false,
"resid_pdrop": 0.0,
"rotary_dim": 32,
"scale_attn_by_inverse_layer_idx": false,
"scale_attn_weights": true,
"torch_dtype": "float32",
"transformers_version": "4.35.2",
"use_cache": true,
"vocab_size": 32032
}