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--- |
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base_model: |
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- Google/gemma-2-27b |
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- Hibiki252/gemma-2-27b-4bit |
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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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- gemma2 |
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- trl |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# Uploaded model |
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- **Developed by:** Hibiki252 |
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- **License:** apache-2.0 |
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- **Finetuned from model :** Hibiki252/gemma-2-27b-4bit |
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This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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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) |
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### Training Data and License |
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This model is fine-tuned using the dataset [DeL-TaiseiOzaki/Tengentoppa-sft-v1.0](https://huggingface.co/datasets/DeL-TaiseiOzaki/Tengentoppa-sft-v1.0) under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/). |
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The dataset was compiled from the following publicly available datasets: |
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・Hachi-Alpaca_newans (GENIAC-Team-Ozaki/Hachi-Alpaca_newans) |
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・Chatbot Arena Japanese Dataset for Karakuri LM 8x7B Chat v0.1 AWQ (GENIAC-Team-Ozaki/chatbot-arena-ja-karakuri-lm-8x7b-chat-v0.1-awq) |
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・WikiHow NFQA Japanese Cleaned Dataset (GENIAC-Team-Ozaki/WikiHowNFQA-ja_cleaned) |
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・Evolutionary Alpaca Generation 3 500 Cleaned Dataset (GENIAC-Team-Ozaki/Evol-Alpaca-gen3-500_cleaned) |
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・Open Assistant 33k Japanese Reformatted Dataset (GENIAC-Team-Ozaki/oasst2-33k-ja_reformatted) |
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・SFT Dataset For Self-Taught Evaluators Iteration 1 (Aratako/SFT-Dataset-For-Self-Taught-Evaluators-iter1) |
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・Japanese Debate Argument Instruction Dataset (GENIAC-Team-Ozaki/debate_argument_instruction_dataset_ja) |
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・Japanese Helpful-Harmless RLHF 49k Dataset (fujiki/japanese_hh-rlhf-49k) |
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・Japanese Government FAQs 22k Dataset (GENIAC-Team-Ozaki/JaGovFaqs-22k) |
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・Evolutionary Helpful-Harmless RLHF Generation 3 1k Cleaned Dataset (GENIAC-Team-Ozaki/Evol-hh-rlhf-gen3-1k_cleaned) |
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・Magpie Qwen 2.5 32B Reasoning 100k Dataset (DeL-TaiseiOzaki/magpie-qwen2.5-32b-reasoning-100k) |
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・Japanese Reasoning Finetuning Dataset (DeL-TaiseiOzaki/reasoning-finetuning-ja) |
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・Magpie LLM Japanese 3.13B 20k Dataset (DeL-TaiseiOzaki/magpie-llm-jp-3-13b-20k) |
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・Magpie SFT Version 1.0 Dataset (llm-jp/magpie-sft-v1.0) |
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・Aya Japanese Nemotron DPO Masked Dataset (weblab-GENIAC/aya-ja-nemotron-dpo-masked) |
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・Open Platypus Japanese Masked Dataset (weblab-GENIAC/Open-Platypus-Japanese-masked) |
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・Synthesis sft data by mixtral-8×22B (hatakeyama-llm-team/AutoGeneratedJapaneseQA-CC) |
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### Interfere Guide |
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This model is SFTed using data from DeL-TaiseiOzaki/Tengentoppa-sft-v1.0 against Hibiki252/gemma-2-27b-4bit, which is a model stored in google/gemma-2-27b with 4bit settings. |
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To perform inference, execute the following code. |
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(code) |
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