What are the hardware requirements for Mistral 3B Instruct V0.2 Init?

Mistral 3B Instruct V0.2 Init requires approximately 5.7 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 3B Instruct V0.2 Init and how large is it?

Mistral 3B Instruct V0.2 Init is developed by Aryanne, a model with 3b 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 3B Instruct V0.2 Init?

Mistral 3B Instruct V0.2 Init is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 3B Instruct V0.2 Init by Aryanne — VRAM 5.7GB, 32K context

Name: Mistral 3B Instruct V0.2 Init
Author: Aryanne

Mistral 3B Instruct V0.2 Init is an open-source language model by Aryanne. Features: 3b LLM, VRAM: 5.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

Conversational Gguf Instruct Mistral Q3 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Aryanne/Mistral-3B-Instruct-v0.2-init

Mistral 3B Instruct V0.2 Init Parameters and Internals

Additional Notes

This version has reduced feed_forward_length sizes from 14336 to 3072.

LLM Name	Mistral 3B Instruct V0.2 Init
Repository 🤗	https://huggingface.co/Aryanne/Mistral-3B-Instruct-v0.2-init
Base Model(s)	sanchit-gandhi/Mistral-3B-Instruct-v0.2 sanchit-gandhi/Mistral-3B-Instruct-v0.2
Model Size	3b
Required VRAM	5.7 GB
Updated	2026-10-16
Maintainer	Aryanne
Model Type	mistral
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-3 1.9 GB: 2-of-3 1.8 GB: 3-of-3 1.4 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 3B Instruct V0.2 Init 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 Mistral 3B Instruct V0.2 Init

Best Alternatives	Context / RAM	Downloads	Likes
Phi 3 Phituguese 3B FP16	4K / 7.6 GB	7	0
Ministral 3B Instruct	128K / 6.7 GB	7607	86
Mistral 3B Instruct V0.2	32K / 11.5 GB	4	4
...inerva 3B Llama3 Instruct V0.1	16K / 5.8 GB	1252	0
Minerva 3B Instruct V1.0	16K / 5.8 GB	19	7
Minerva 3B Instruct V1.0	16K / 5.8 GB	12	7
Toffee 3B Beta	8K / 7.7 GB	254	0

Note: green Score (e.g. "73.2") means that the model is better than Aryanne/Mistral-3B-Instruct-v0.2-init.