What are the hardware requirements for Mistral Small Instruct 2409?

Mistral Small Instruct 2409 requires approximately 44.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Small Instruct 2409 and how large is it?

Mistral Small Instruct 2409 is developed by unsloth, a model with 22.2b 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 Small Instruct 2409?

Mistral Small Instruct 2409 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Small Instruct 2409 by unsloth — VRAM 44.7GB, 128K context

Name: Mistral Small Instruct 2409
Author: unsloth

Mistral Small Instruct 2409 is an open-source language model by unsloth. Features: 22.2b LLM, VRAM: 44.7GB, Context: 128K, License: other, Instruction-Based, LLM Explorer Score: 0.14.

Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Instruct Mistral Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Mistral-Small-Instruct-2409

Mistral Small Instruct 2409 Parameters and Internals

LLM Name	Mistral Small Instruct 2409
Repository 🤗	https://huggingface.co/unsloth/Mistral-Small-Instruct-2409
Base Model(s)	Mistral Small Instruct 2409 mistralai/Mistral-Small-Instruct-2409
Model Size	22.2b
Required VRAM	44.7 GB
Updated	2026-07-24
Maintainer	unsloth
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-9 5.0 GB: 2-of-9 5.0 GB: 3-of-9 4.9 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 4.9 GB: 7-of-9 5.0 GB: 8-of-9 5.0 GB: 9-of-9
Model Architecture	MistralForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	[control_748]
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Mistral Small Instruct 2409 capabilities

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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 Small Instruct 2409

Best Alternatives	Context / RAM	Downloads	Likes
...lect MistralSmallit MMQA Iter1	32K / 44.7 GB	36	0
...ct MistralSmallit Mg DPO Iter1	32K / 60.8 GB	38	0
MS Sunfall V0.7.0	32K / 44.7 GB	3	12
...istral Small It MMQA DPO Iter1	32K / 44.7 GB	5	0
...mall Instruct 2409 Abliterated	32K / 44.7 GB	10	4
MistralSmall1500CTXDummy	32K / 44.7 GB	14	0
MistralSmall1500CTX	32K / 44.7 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Mistral-Small-Instruct-2409.