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.gitattributes ADDED
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+ *.bin filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ # ebisuke/liz-nojaloli-ja
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+
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+ ## License
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+ [MIT License](https://opensource.org/licenses/MIT)
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+
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+ ベースとして[rinna/japanese-gpt-neox-3.6b](https://huggingface.co/rinna/japanese-gpt-neox-3.6b)を使用しています。
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+
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+ ## Description
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+ のじゃロリ風味チャットモデルです。
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+ [rinna/japanese-gpt-neox-3.6b](https://huggingface.co/rinna/japanese-gpt-neox-3.6b)をベースとしてファインチューンしています。
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+
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+ ## Usage
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+
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+ ユーザーの入力を`相手は言いました。「(内容)」\n`で括ってください。
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+ モデルは`相手は言いました。「`以降の文脈を生成します。
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+ それ以降も続く場合があるので必要に応じて`」`の文字までで打ち切ってください。
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+
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+ ```python
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+ import torch
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+ from transformers import AutoTokenizer, AutoModelForCausalLM
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+ import os
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+
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+ tokenizer = AutoTokenizer.from_pretrained("ebisuke/liz-nojaloli-ja", use_fast=False)
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+ model = AutoModelForCausalLM.from_pretrained("ebisuke/liz-nojaloli-ja", load_in_8bit=True, device_map='auto')
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+
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+ text = "相手は言いました。「眠いにゃ・・・」 \nあなたは言いました。「"
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+ token_ids = tokenizer.encode(text, add_special_tokens=False, return_tensors="pt")
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+
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+ with torch.no_grad():
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+ output_ids = model.generate(
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+ input_ids=token_ids.to(model.device),
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+ max_new_tokens=1000,
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+ do_sample=True,
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+ temperature=0.7,
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+ pad_token_id=tokenizer.pad_token_id,
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+ bos_token_id=tokenizer.bos_token_id,
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+ eos_token_id=tokenizer.eos_token_id,
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+ )
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+
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+ output = tokenizer.decode(output_ids.tolist()[0])
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+ print(output)
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+ ```
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+
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+ {
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+ "_name_or_path": "rinna/japanese-gpt-neox-3.6b",
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+ "architectures": [
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+ "GPTNeoXForCausalLM"
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+ ],
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+ "classifier_dropout": 0.1,
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+ "hidden_act": "gelu",
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 2048,
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+ "model_type": "gpt_neox",
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+ "num_attention_heads": 22,
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+ "num_hidden_layers": 36,
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+ "rotary_emb_base": 10000,
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+ "rotary_pct": 1.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.29.2",
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+ "use_cache": false,
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+ "use_parallel_residual": false,
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+ "vocab_size": 32000
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+ }
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