What are the hardware requirements for BioMistral 7B DARE GGUF?

BioMistral 7B DARE GGUF requires approximately 2.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BioMistral 7B DARE GGUF and how large is it?

BioMistral 7B DARE GGUF is developed by MaziyarPanahi, 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 7B DARE GGUF?

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

BioMistral 7B DARE GGUF by MaziyarPanahi — VRAM 2.7GB

Name: BioMistral 7B DARE GGUF
Author: MaziyarPanahi

BioMistral 7B DARE GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 2.7GB, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

Arxiv:2306.01708 Arxiv:2311.03099 Arxiv:2402.10373 2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:biomistral/biomistr... Base model:biomistral/biomistr... Base model:mistralai/mistral-7... Base model:quantized:biomistra... Biology Conversational Dare Dataset:pubmed De En Endpoints compatible Es Fr Gguf Instruct It Medical Merge Mergekit Mistral Nl Pl Quantized Region:us Ro Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/BioMistral-7B-DARE-GGUF

BioMistral 7B DARE GGUF Parameters and Internals

Model Type

text-generation

Supported Languages

en (English), fr (French), nl (Dutch), es (Spanish), it (Italian), pl (Polish), ro (Romanian), de (German)

LLM Name	BioMistral 7B DARE GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/BioMistral-7B-DARE-GGUF
Model Name	BioMistral-7B-DARE-GGUF
Model Creator	BioMistral
Base Model(s)	BioMistral 7B DARE BioMistral/BioMistral-7B-DARE
Model Size	7b
Required VRAM	2.7 GB
Updated	2026-08-05
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.4 GB 4.1 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the BioMistral 7B DARE GGUF 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

Best Alternatives to BioMistral 7B DARE GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0
Qwen2 7B Instruct V0.1 GGUF	0K / 4.5 GB	9714	0
Qwen2 7B Instruct V0.7 GGUF	0K / 4.5 GB	9530	0
Qwen2 7B Instruct V0.3 GGUF	0K / 4.5 GB	8911	1

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