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README.md
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---
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tags:
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- fp8
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- vllm
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language:
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- en
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- de
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- fr
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- it
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- pt
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- hi
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- es
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- th
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pipeline_tag: image-text-to-text
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license: apache-2.0
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library_name: vllm
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base_model:
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- mistral-community/pixtral-12b
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- mistralai/Pixtral-12B-2409
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base_model_relation: quantized
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datasets:
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- HuggingFaceH4/ultrachat_200k
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---
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# Pixtral-12B-2409: FP8 Dynamic Quant + FP8 KV Cache
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Quant of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) using [LLM Compressor](https://github.com/vllm-project/llm-compressor) for optimised inference on VLLM.
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FP8 dynamic quant on language model, and FP8 quant of KV cache. multi_modal_projector and vision_tower left in FP16 since it's a small part of the model.
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Calibrated on 2048 ultrachat samples.
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