Text Generation
Transformers
PyTorch
xglm
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{
"_name_or_path": "pythainlp/wangchanglm-7.5B-sft-adapter-merged",
"activation_dropout": 0.0,
"activation_function": "gelu",
"architectures": [
"XGLMForCausalLM"
],
"attention_dropout": 0.1,
"attention_heads": 32,
"bos_token_id": 0,
"d_model": 4096,
"decoder_start_token_id": 2,
"dropout": 0.1,
"eos_token_id": 2,
"ffn_dim": 16384,
"init_std": 0.02,
"layerdrop": 0.0,
"max_position_embeddings": 2048,
"model_type": "xglm",
"num_layers": 32,
"pad_token_id": 1,
"scale_embedding": true,
"torch_dtype": "float32",
"transformers_version": "4.28.0.dev0",
"use_cache": true,
"vocab_size": 256008
}