What are the hardware requirements for Devstral Small 2505 8bit?

Devstral Small 2505 8bit requires approximately 25 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 Devstral Small 2505 8bit and how large is it?

Devstral Small 2505 8bit is developed by mlx-community, a model with 6.6b 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 2505 8bit?

Devstral Small 2505 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Devstral Small 2505 8bit by mlx-community — VRAM 25GB, 128K context

Name: Devstral Small 2505 8bit
Author: mlx-community

Devstral Small 2505 8bit is an open-source language model by mlx-community. Features: 6.6b LLM, VRAM: 25GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

8-bit 8bit Ar Base model:mistralai/devstral-... Base model:quantized:mistralai... Bn Conversational De En Es Fa Fr Hi Id It Ja Ko Mistral Mlx Ms Ne Pl Pt Quantized Region:us Ro Ru Safetensors Sharded Sr Sv Tensorflow Tr Uk Vi Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/Devstral-Small-2505-8bit

Devstral Small 2505 8bit Parameters and Internals

LLM Name	Devstral Small 2505 8bit
Repository 🤗	https://huggingface.co/mlx-community/Devstral-Small-2505-8bit
Base Model(s)	Devstral Small 2505 mistralai/Devstral-Small-2505
Model Size	6.6b
Required VRAM	25 GB
Updated	2026-08-06
Maintainer	mlx-community
Model Type	mistral
Model Files	5.3 GB: 1-of-5 5.3 GB: 2-of-5 5.3 GB: 3-of-5 5.3 GB: 4-of-5 3.8 GB: 5-of-5
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
Quantization Type	8bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Devstral Small 2505 8bit 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 2505 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...iminalComputingConfig Mlx 8Bit	32K / 25 GB	19	3

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Devstral-Small-2505-8bit.