Add model card

README.md

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+---
+tags:
+- quantized
+- 4-bit
+- AWQ
+- autotrain_compatible
+- endpoints_compatible
+- text-generation-inference
+license: apache-2.0
+language:
+- en
+base_model: mistral-community/Mixtral-8x22B-v0.1
+model_creator: Vezora
+model_name: Mistral-22B-v0.2
+model_type: mistral
+pipeline_tag: text-generation
+inference: false
+---
+# Vezora/Mistral-22B-v0.1 AWQ
+
+- Model creator: [Vezora](https://huggingface.co/Vezora)
+- Original model: [Mistral-22B-v0.2](https://huggingface.co/Vezora/Mistral-22B-v0.2)
+
+## Model Summary
+
+- Just two days after our release of **Mistral-22b-v0.1**, we are excited to introduce our handcrafted experimental model, **Mistral-22b-v.02**. 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.
+- v0.2 has trained on 8x more data than v0.1!
+
+## How to use
+
+**GUANACO PROMPT FORMAT** YOU MUST USE THE GUANACO PROMPT FORMAT SHOWN BELOW. Not using this prompt format will lead to sub optimal results.
+
+- This model requires a specific chat template, as the training format was Guanaco this is what it looks like:
+- "### System: You are a helpful assistant. ### Human###: Give me the best chili recipe you can ###Assistant: Here is the best chili recipe..."