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README.md
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---
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license: apache-2.0
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tags:
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- biomedical
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- medical
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- mistral
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- fp8
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- quantization
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- vllm
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- text-generation
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library_name: transformers
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---
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# BioMistral-7B-FP8-Dynamic
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## Overview
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**BioMistral-7B-FP8-Dynamic** is an **FP8 Dynamic–quantized** version of the **BioMistral-7B** model, designed for high-performance inference while maintaining strong quality on biomedical and medical NLP tasks.
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This model is primarily intended for deployment with **vLLM** on modern GPUs (Hopper / Ada architectures).
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---
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## Base Model
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- **Base model**: BioMistral-7B
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- **Architecture**: Mistral-style decoder-only Transformer
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- **Domain**: Biomedical / Medical Natural Language Processing
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---
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## Quantization
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- **Method**: FP8 Dynamic
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- **Scope**: Linear layers
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- **Objective**: Reduce VRAM usage and improve inference throughput
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### Notes
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- The weights are **already quantized**.
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- Do **not** apply additional runtime quantization.
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---
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## Intended Use
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- Biomedical and medical text generation
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- Medical writing assistance
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- Summarization and analysis of scientific literature
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- Medical RAG pipelines (clinical notes, research papers)
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---
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## Deployment (vLLM)
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### Recommended
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```bash
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vllm serve ig1/BioMistral-7B-FP8-Dynamic \
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--served-model-name biomistral-7b-fp8 \
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--dtype auto
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