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base_model: llm-jp/llm-jp-3-13b |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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license: cc-by-nc-sa-4.0 |
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language: |
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- jp |
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Training Dataset: Ichikara Instruction (LLM-jp) |
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--- |
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# Uploaded model |
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- **Developed by:** taka-too |
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- **License:** CC-BY-NC-SA-4.0 |
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- **Finetuned from model :** llm-jp/llm-jp-3-13b |
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- **Training Dataset:** Ichikara Instruction (LLM-jp) |
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This LLaMA-based model has been fine-tuned for enhanced instruction-following capabilities using the Ichikara Instruction dataset provided by LLM-jp, |
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which was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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関根聡, 安藤まや, 後藤美知子, 鈴木久美, 河原大輔, 井之上直也, 乾健太郎. ichikara-instruction: LLMのための日本語インストラクションデータの構築. 言語処理学会第30回年次大会(2024) |
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# How to Use the Model |
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You can load the model via the Hugging Face transformers library: |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("taka-too/llm-jp-3-13b-it") |
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model = AutoModelForCausalLM.from_pretrained("taka-too/llm-jp-3-13b-it") |
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``` |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
