What are the hardware requirements for Mistral 4bit Bnb?

Mistral 4bit Bnb requires approximately 4.1 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 Mistral 4bit Bnb and how large is it?

Mistral 4bit Bnb is developed by s10ba, a model with 7.5b 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 Mistral 4bit Bnb?

Mistral 4bit Bnb is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 4bit Bnb by s10ba — VRAM 4.1GB, 32K context

Name: Mistral 4bit Bnb
Author: s10ba

Mistral 4bit Bnb is an open-source language model by s10ba. Features: 7.5b LLM, VRAM: 4.1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4-bit 4bit Bitsandbytes Conversational Endpoints compatible Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/s10ba/mistral-4bit-bnb

Mistral 4bit Bnb Parameters and Internals

Use Cases

Primary Use Cases:

Finetuning in low resource environments

Additional Notes

This version is a 4-bit quantized model, quantized using bitsandbytes.

LLM Name	Mistral 4bit Bnb
Repository 🤗	https://huggingface.co/s10ba/mistral-4bit-bnb
Model Size	7.5b
Required VRAM	4.1 GB
Updated	2026-08-07
Maintainer	s10ba
Model Type	mistral
Model Files	4.1 GB
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mistral 4bit Bnb 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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Zephyr Sft Bnb 4bit	32K / 4.1 GB	252	5
Mixtral AI SwahiliTron 4BIT	32K / 4.1 GB	7	0
Mcqa 4bit	32K / 4.1 GB	5	0
Zephyr DPO 4bit	32K / 4.1 GB	73	0
Rezephyr Merged 4bit	32K / 4.1 GB	53	0
ClimateChat	32K / 15 GB	17	2
Finchat298 Mistral7B FT 650	32K / 4.1 GB	5	0
Finchat298 Mistral7B FT3	32K / 4.1 GB	5	0
...iceday Finetune Articles V4 V3	32K / 4.7 GB	7	0
Technical Analysis Unsloth V3	32K / 4.1 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than s10ba/mistral-4bit-bnb.