What are the hardware requirements for Devstral Small 2507 GGUF?

Devstral Small 2507 GGUF requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Devstral Small 2507 GGUF and how large is it?

Devstral Small 2507 GGUF is developed by unsloth, a model with 24b 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 Devstral Small 2507 GGUF?

Devstral Small 2507 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Devstral Small 2507 GGUF by unsloth — VRAM 0.9GB

Name: Devstral Small 2507 GGUF
Author: unsloth

Devstral Small 2507 GGUF is an open-source language model by unsloth. Features: 24b LLM, VRAM: 0.9GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.23.

Ar Base model:mistralai/devstral-... Base model:quantized:mistralai... Bn Conversational De En Es Fa Fr Gguf Hi Id Instruct It Ja Ko Mistral3 Ms Ne Pl Pt Q2 Quantized Region:us Ro Ru Sr Sv Tr Uk Vi Vllm Zh

Model Card on HF 🤗: https://huggingface.co/unsloth/Devstral-Small-2507-GGUF

Devstral Small 2507 GGUF Parameters and Internals

LLM Name	Devstral Small 2507 GGUF
Repository 🤗	https://huggingface.co/unsloth/Devstral-Small-2507-GGUF
Base Model(s)	Devstral Small 2507 mistralai/Mistral-Small-3.1-24B-Instruct-2503 mistralai/Devstral-Small-2507 mistralai/Mistral-Small-3.1-24B-Instruct-2503
Model Size	24b
Required VRAM	0.9 GB
Updated	2026-07-15
Maintainer	unsloth
Model Type	mistral3
Instruction-Based	Yes
Model Files	47.2 GB 13.5 GB 12.8 GB 8.9 GB 9.1 GB 11.5 GB 10.4 GB 13.5 GB 14.9 GB 14.3 GB 13.5 GB 16.8 GB 16.3 GB 19.3 GB 25.1 GB 6.0 GB 5.6 GB 8.2 GB 6.8 GB 9.4 GB 9.3 GB 11.9 GB 14.5 GB 16.8 GB 20.8 GB 29.0 GB 0.9 GB 1.8 GB
Supported Languages	en fr de es pt it ja ko ru zh ar fa id ms ne pl ro sr sv tr uk vi hi bn
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Mistral3ForConditionalGeneration
License	apache-2.0
Transformers Version	4.52.0.dev0
Torch Data Type	bfloat16

Rank the Devstral Small 2507 GGUF 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 Devstral Small 2507 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...3.2 24B Instruct 2506 Bnb 4bit	0K / 14.5 GB	7430	10
...Instruct 2506 Unsloth Bnb 4bit	0K / 14.6 GB	2107	13
...all 3.2 24B Instruct 2506 8bit	0K / 25 GB	320	4
...2 24B Instruct 2512 OptiQ 4bit	0K / 16.5 GB	422	1
...l 2 24B Instruct 2512 MLX 8Bit	0K / 25 GB	3915	6
...all 3.2 24B Instruct 2506 4bit	0K / 13.3 GB	682	1
...resolvable Pattern Finetune V1	0K / 48.2 GB	55	0
... 2 24B Instruct 2512 MLX MXFP4	0K / 12.5 GB	1377	4
...all 3.2 24B Instruct 2506 Bf16	0K / 46.9 GB	128	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Devstral-Small-2507-GGUF.