What are the hardware requirements for BioMistral Clinical 7B?

BioMistral Clinical 7B requires approximately 28.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BioMistral Clinical 7B and how large is it?

BioMistral Clinical 7B is developed by ZiweiChen, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate BioMistral Clinical 7B?

BioMistral Clinical 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BioMistral Clinical 7B by ZiweiChen — VRAM 28.9GB, 32K context

Name: BioMistral Clinical 7B
Author: ZiweiChen

BioMistral Clinical 7B is an open-source language model by ZiweiChen. Features: 7b LLM, VRAM: 28.9GB, Context: 32K, License: mit, LLM Explorer Score: 0.15.

Base model:biomistral/biomistr... Base model:finetune:biomistral... Biology Clinical Conversational Dataset:agbonnet/augmented-cli... En Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ZiweiChen/BioMistral-Clinical-7B

BioMistral Clinical 7B Parameters and Internals

LLM Name	BioMistral Clinical 7B
Repository 🤗	https://huggingface.co/ZiweiChen/BioMistral-Clinical-7B
Base Model(s)	BioMistral 7B BioMistral/BioMistral-7B
Model Size	7b
Required VRAM	28.9 GB
Updated	2026-08-05
Maintainer	ZiweiChen
Model Type	mistral
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 4.8 GB: 5-of-6 4.2 GB: 6-of-6 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float32

Rank the BioMistral Clinical 7B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than ZiweiChen/BioMistral-Clinical-7B.