mpt-125m-c4 / config.json
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{
"architectures": [
"MPTForCausalLM"
],
"attn_config": {
"alibi": false,
"alibi_bias_max": 8,
"attn_impl": "torch",
"attn_pdrop": 0.0,
"attn_type": "multihead_attention",
"attn_uses_sequence_id": false,
"clip_qkv": null,
"prefix_lm": false,
"qk_ln": false,
"softmax_scale": null
},
"auto_map": {
"AutoConfig": "configuration_mpt.MPTConfig",
"AutoModelForCausalLM": "modeling_mpt.MPTForCausalLM"
},
"d_model": 768,
"emb_pdrop": 0.0,
"embedding_fraction": 1.0,
"expansion_ratio": 4,
"fc_type": "torch",
"ffn_config": {
"fc_type": "torch",
"ffn_type": "mptmlp"
},
"init_config": {
"emb_init_std": null,
"emb_init_uniform_lim": null,
"fan_mode": "fan_in",
"init_div_is_residual": true,
"init_gain": 0.0,
"init_nonlinearity": "relu",
"init_std": null,
"name": "kaiming_normal_"
},
"init_device": "cpu",
"learned_pos_emb": true,
"logit_scale": null,
"max_seq_len": 2048,
"model_type": "mpt",
"n_heads": 8,
"n_layers": 12,
"no_bias": false,
"norm_type": "low_precision_layernorm",
"resid_pdrop": 0.0,
"torch_dtype": "bfloat16",
"transformers_version": "4.33.1",
"use_cache": false,
"vocab_size": 50368
}