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--- |
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tags: |
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- quantized |
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- 4-bit |
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- AWQ |
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- autotrain_compatible |
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- endpoints_compatible |
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- text-generation-inference |
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license: apache-2.0 |
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language: |
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- en |
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base_model: mistral-community/Mixtral-8x22B-v0.1 |
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model_creator: Vezora |
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model_name: Mistral-22B-v0.1 |
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model_type: mistral |
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pipeline_tag: text-generation |
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inference: false |
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--- |
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# Vezora/Mistral-22B-v0.1 AWQ |
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- Model creator: [Vezora](https://huggingface.co/Vezora) |
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- Original model: [Mistral-22B-v0.1](https://huggingface.co/Vezora/Mistral-22B-v0.1) |
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## Model Summary |
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This model is not an moe, it is infact a 22B parameter dense model! |
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Just one day after the release of **Mixtral-8x-22b**, we are excited to introduce our handcrafted experimental model, **Mistral-22b-V.01**. This model is a culmination of equal knowledge distilled from all experts into a single, dense 22b model. This model is not a single trained expert, rather its a compressed MOE model, turning it into a dense 22b mode. This is the first working MOE to Dense model conversion. |
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## How to use |
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**GUANACO PROMPT FORMAT** YOU MUST USE THE GUANACO PROMPT FORMAT SHOWN BELOW. Not using this prompt format will lead to sub optimal results. |
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- This model requires a specific chat template, as the training format was Guanaco this is what it looks like: |
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- "### System: You are a helpful assistant. ### Human###: Give me the best chili recipe you can ###Assistant: Here is the best chili recipe..." |
