add support for mixtral-8x7b and mixtral-8x7b-instruct#408
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saiatmakuri merged 7 commits intomainfrom Dec 14, 2023
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model-engine/model_engine_server/domain/use_cases/llm_model_endpoint_use_cases.py
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| @@ -58,6 +58,8 @@ def get_default_supported_models_info() -> Dict[str, ModelInfo]: | |||
| ), | |||
| "mistral-7b": ModelInfo("mistralai/Mistral-7B-v0.1", None), | |||
| "mistral-7b-instruct": ModelInfo("mistralai/Mistral-7B-Instruct-v0.1", None), | |||
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let's also update mistral-7b-Instruct to use the newer version released today: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2 we can do this in a follow up pr but good to do as well
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should we add it as a separate model instead of replacing the current one? also, should do that as a follow-up PR
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Personally I wouldn't make it a separate model, I would just add the weights to s3 and use them in favor of the v0.1 weights. I suppose there is some value to having both models though for completeness, @yunfeng-scale thoughts on this?
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don't think there's need to add as a new model
model-engine/model_engine_server/domain/use_cases/llm_model_endpoint_use_cases.py
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Pull Request Summary
bump vllm to v0.2.4 to support mixtral-8x7b models
Test Plan and Usage Guide
spin up model for local inference