SDPrompt-RetNet-300M / config.json
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{
"_name_or_path": "sdprompt-retnet-300m",
"activation_dropout": 0.0,
"activation_fn": "swish",
"architectures": [
"RetNetForCausalLM"
],
"auto_map": {
"AutoConfig": "configuration_retnet.RetNetConfig",
"AutoModelForCausalLM": "modeling_retnet.RetNetForCausalLM"
},
"bos_token_id": 1,
"decoder_embed_dim": 1280,
"decoder_ffn_embed_dim": 2560,
"decoder_layers": 12,
"decoder_normalize_before": true,
"decoder_retention_heads": 8,
"decoder_value_embed_dim": 2560,
"deepnorm": false,
"drop_path_rate": 0.0,
"dropout": 0.0,
"eos_token_id": 2,
"forward_impl": "parallel",
"initializer_range": 0.02,
"is_decoder": true,
"layernorm_embedding": true,
"layernorm_eps": 1e-06,
"model_type": "retnet",
"no_scale_embedding": false,
"output_retentions": false,
"pad_token_id": 33619,
"recurrent_chunk_size": 512,
"subln": true,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.34.1",
"use_cache": true,
"use_ffn_rms_norm": false,
"use_glu": true,
"use_lm_decay": false,
"vocab_size": 33620,
"z_loss_coeff": 0.0
}