What are the hardware requirements for Mistral 7B Instruct V0.2 Bnb 4bit?

Mistral 7B Instruct V0.2 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 Instruct V0.2 Bnb 4bit and how large is it?

Mistral 7B Instruct V0.2 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 Instruct V0.2 Bnb 4bit?

Mistral 7B Instruct V0.2 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 Instruct V0.2 Bnb 4bit by unsloth — VRAM 4.1GB, 32K context

Name: Mistral 7B Instruct V0.2 Bnb 4bit
Author: unsloth

Mistral 7B Instruct V0.2 Bnb 4bit is an open-source language model by unsloth. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

4-bit 4bit Bitsandbytes Bnb Conversational Deploy:azure En Endpoints compatible Instruct Mistral Mistral-7b Mistral-instruct Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit

Mistral 7B Instruct V0.2 Bnb 4bit Parameters and Internals

Model Type

text generation

Additional Notes

Unsloth allows fine-tuning Mistral models 2-5 times faster with significant memory reduction.

Input Output

Performance Tips:

Run on Google Colab with Tesla T4 for optimal performance.

LLM Name	Mistral 7B Instruct V0.2 Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Base Model(s)	mistralai/mistral-7b-instruct-v0.2 mistralai/mistral-7b-instruct-v0.2
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-07-21
Maintainer	unsloth
Model Type	mistral
Instruction-Based	Yes
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	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B Instruct V0.2 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 Instruct V0.2 Bnb 4bit

Model	Likes	Downloads	VRAM
Mistral 7B News Cnn Merged	1	0	0 GB
Mistral Rank8 Sft	0	5	14 GB
Mistral Rank32 Sft	0	6	14 GB
Mistral Rank16 Sft	0	8	14 GB
Mistral Rank32 Invert	0	5	14 GB
Mistral Rank16 Invert	0	6	14 GB
Mistral Rank8 Invert	0	5	14 GB
Damysus Coder V0.1	0	17	14 GB
Mistral Rank8 Packing	0	5	14 GB
Mistral Rank16 Packing	0	5	14 GB

Best Alternatives to Mistral 7B Instruct V0.2 Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...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
Mixtral V0.3 Full 16bit	32K / 14.5 GB	8	0
... 7B Instruct V0.3ContinuedFine	32K / 14.5 GB	14	0
Mistral 7B Instruct V0.3 4bit	32K / 4.1 GB	12492	10
...eMistral 7B Instruct Ead 16bit	32K / 14.5 GB	38	0
NaturalLM 7B Instruct	32K / 14.5 GB	17	10

Note: green Score (e.g. "73.2") means that the model is better than unsloth/mistral-7b-instruct-v0.2-bnb-4bit.