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license: mit |
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# 🔥 MoE-Mixtral-7B-8Expert |
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[mixtral-8x7b](https://huggingface.co/someone13574/mixtral-8x7b-32kseqlen) is a Mixture-of-Expert (MoE) model. |
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[LLaMA2-Accessory](https://github.com/Alpha-VLLM/LLaMA2-Accessory) has supported its inference and finetuning. |
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## 🚀 Features |
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With LLaMA2-Accessory, mixtral-8x7b enjoys the following features: |
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1. Distributed MoE (namely instantiating experts on multiple processes/gpus) |
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2. Load Balancing Loss |
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3. Tensor Parallel and FSDP for efficiently training |
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4. Distributed and/or quantized inference |
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## 🔥 Online Demo |
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We host a web demo [💻here](http://106.14.127.192/), which shows a mixtral-8x7b model finetuned on |
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[evol-codealpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1) and |
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[ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k), with LoRA and Bias tuning. |
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## 💡 Tutorial |
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A detailed tutorial is available at our [document](https://llama2-accessory.readthedocs.io/en/latest/projects/mixtral-8x7b.html) |
