ipt-350m / config.json
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{
"_name_or_path": "efederici/ipt-350m",
"architectures": [
"MPTForCausalLM"
],
"attn_config": {
"model_type": ""
},
"auto_map": {
"AutoConfig": "efederici/ipt-350m--configuration_mpt.MPTConfig",
"AutoModelForCausalLM": "efederici/ipt-350m--modeling_mpt.MPTForCausalLM"
},
"d_model": 1024,
"emb_pdrop": 0.0,
"embedding_fraction": 1.0,
"expansion_ratio": 4,
"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_",
"verbose": 0
},
"init_device": "cpu",
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"learned_pos_emb": true,
"logit_scale": null,
"max_seq_len": 2048,
"model_type": "mpt",
"n_heads": 16,
"n_layers": 24,
"no_bias": true,
"norm_type": "low_precision_layernorm",
"resid_pdrop": 0.0,
"transformers_version": "4.32.1",
"use_cache": false,
"verbose": 0,
"vocab_size": 50432
}