Text Generation
Transformers
PyTorch
gptj
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instruct-gpt-j-fp16 / config.json
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{
"activation_function": "gelu_new",
"architectures": [
"GPTNeoForCausalLM"
],
"attention_dropout": 0,
"attention_layers": ["global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global", "global"],
"attention_types": [
[
[
"global"
],
28
]
],
"bos_token_id": 50256,
"embed_dropout": 0,
"eos_token_id": 50256,
"gradient_checkpointing": false,
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": null,
"jax": true,
"layer_norm_epsilon": 1e-05,
"max_position_embeddings": 2048,
"model_type": "gpt_neo",
"num_heads": 16,
"num_layers": 28,
"resid_dropout": 0,
"rotary": true,
"rotary_dim": 64,
"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "cls_index",
"summary_use_proj": true,
"transformers_version": "4.5.0.dev0",
"use_cache": true,
"vocab_size": 50400,
"window_size": 256,
"tokenizer_class": "GPT2Tokenizer",
"task_specific_params": {
"text-generation": {
"do_sample": true,
"temperature": 1.0,
"max_length": 50
}
}
}