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--- |
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license: other |
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library_name: transformers |
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pipeline_tag: text-generation |
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datasets: |
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- RyokoAI/ShareGPT52K |
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- Hello-SimpleAI/HC3 |
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tags: |
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- koala |
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- ShareGPT |
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- llama |
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- gptq |
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--- |
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# Koala: A Dialogue Model for Academic Research |
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This repo contains the weights of the Koala 7B model produced at Berkeley. It is the result of combining the diffs from https://huggingface.co/young-geng/koala with the original Llama 7B model. |
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This version has then been converted to HF format. |
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## My Koala repos |
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I have the following Koala model repositories available: |
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**13B models:** |
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* [Unquantized 13B model in HF format](https://huggingface.co/TheBloke/koala-13B-HF) |
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* [GPTQ quantized 4bit 13B model in `pt` and `safetensors` formats](https://huggingface.co/TheBloke/koala-13B-GPTQ-4bit-128g) |
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* [GPTQ quantized 4bit 13B model in GGML format for `llama.cpp`](https://huggingface.co/TheBloke/koala-13B-GPTQ-4bit-128g-GGML) |
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**7B models:** |
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* [Unquantized 7B model in HF format](https://huggingface.co/TheBloke/koala-7B-HF) |
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* [Unquantized 7B model in GGML format for llama.cpp](https://huggingface.co/TheBloke/koala-7b-ggml-unquantized) |
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* [GPTQ quantized 4bit 7B model in `pt` and `safetensors` formats](https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g) |
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* [GPTQ quantized 4bit 7B model in GGML format for `llama.cpp`](https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g-GGML) |
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## How the Koala delta weights were merged |
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The Koala delta weights were merged using the following commands: |
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``` |
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git clone https://github.com/young-geng/EasyLM |
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git clone https://huggingface.co/nyanko7/LLaMA-7B |
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git clone https://huggingface.co/young-geng/koala koala_diffs |
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cd EasyLM |
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PYTHON_PATH="${PWD}:$PYTHONPATH" python \ |
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-m EasyLM.models.llama.convert_torch_to_easylm \ |
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--checkpoint_dir=/content/LLaMA-7B \ |
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--output_file=/content/llama-7B-LM \ |
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--streaming=True |
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PYTHON_PATH="${PWD}:$PYTHONPATH" python \ |
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-m EasyLM.scripts.diff_checkpoint --recover_diff=True \ |
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--load_base_checkpoint='params::/content/llama-7B-LM' \ |
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--load_target_checkpoint='params::/content/koala_diffs/koala_7b_diff_v2' \ |
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--output_file=/content/koala_7b.diff.weights \ |
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--streaming=True |
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PYTHON_PATH="${PWD}:$PYTHONPATH" python \ |
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-m EasyLM.models.llama.convert_easylm_to_hf --model_size=7b \ |
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--output_dir=/content/koala-7B-HF \ |
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--load_checkpoint='params::/content/koala_7b.diff.weights' \ |
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--tokenizer_path=/content/LLaMA-7B/tokenizer.model |
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``` |
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Check out the following links to learn more about the Berkeley Koala model. |
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* [Blog post](https://bair.berkeley.edu/blog/2023/04/03/koala/) |
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* [Online demo](https://koala.lmsys.org/) |
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* [EasyLM: training and serving framework on GitHub](https://github.com/young-geng/EasyLM) |
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* [Documentation for running Koala locally](https://github.com/young-geng/EasyLM/blob/main/docs/koala.md) |
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## License |
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The model weights are intended for academic research only, subject to the |
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[model License of LLaMA](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md), |
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[Terms of Use of the data generated by OpenAI](https://openai.com/policies/terms-of-use), |
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and [Privacy Practices of ShareGPT](https://chrome.google.com/webstore/detail/sharegpt-share-your-chatg/daiacboceoaocpibfodeljbdfacokfjb). |
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Any other usage of the model weights, including but not limited to commercial usage, is strictly prohibited. |
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