What are the hardware requirements for Mistral 7B V0.3 Bnb 4bit?

Mistral 7B V0.3 Bnb 4bit 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 7B V0.3 Bnb 4bit and how large is it?

Mistral 7B V0.3 Bnb 4bit is developed by unsloth, 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 Mistral 7B V0.3 Bnb 4bit?

Mistral 7B V0.3 Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B V0.3 Bnb 4bit by unsloth — VRAM 4.1GB, 32K context

Name: Mistral 7B V0.3 Bnb 4bit
Author: unsloth

Mistral 7B V0.3 Bnb 4bit is an open-source language model by unsloth. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

4-bit 4bit Base model:mistralai/mistral-7... Base model:quantized:mistralai... Bitsandbytes Deploy:azure En Endpoints compatible Mistral Mistral-7b Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit

Mistral 7B V0.3 Bnb 4bit Parameters and Internals

Model Type

transformers, instruct

LLM Name	Mistral 7B V0.3 Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit
Base Model(s)	mistralai/Mistral-7B-v0.3 mistralai/Mistral-7B-v0.3
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-08-04
Maintainer	unsloth
Model Type	mistral
Model Files	4.1 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	[control_768]
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Mistral 7B V0.3 Bnb 4bit 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

Quantized Models of the Mistral 7B V0.3 Bnb 4bit

Model	Likes	Downloads	VRAM
Conversely Mistral 7B	0	132	0 GB
CleverBoi 7B V2	0	586	0 GB
CleverBoi 7B V3	0	193	0 GB
Rtoai	0	6	14 GB
Mistral V0.3 7B ORPO	1	6	14 GB
User23ContinuedFine	0	5	14 GB
Sft Reranker Step2000 1203	0	5	14 GB
WorldBuilder 7B	1	4	14 GB
Cognitive Hacker Gguf 0.2	6	1815	4 GB
Cognitive Hacker Gguf	3	664	4 GB

Best Alternatives to Mistral 7B V0.3 Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...t 3.5 0106 128K 4.0bpw H6 EXL2	128K / 3.9 GB	4	1
...t 3.5 0106 128K 8.0bpw H8 EXL2	128K / 7.4 GB	1	1
...aude Sonnet Mistral 7B It V0.3	32K / 14.5 GB	7	2
Mistral 7B Instruct V0.2 Fp16	32K / 14.4 GB	26	0
Mistral 7B Instruct V0.2 4bit	32K / 4.3 GB	79	1
...tral 7B Instruct V0.3 Bnb 4bit	32K / 4.1 GB	34633	42
Mistral 7B Instruct V0.2 8bit	32K / 7.6 GB	5	1
...tral 7B Instruct V0.2 Bnb 4bit	32K / 4.1 GB	7160	35
Mixtral V0.3 Full 16bit	32K / 14.5 GB	8	0
... 7B Instruct V0.3ContinuedFine	32K / 14.5 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than unsloth/mistral-7b-v0.3-bnb-4bit.