What are the hardware requirements for Devstral Small 2 24B Instruct 2512 8bit?

Devstral Small 2 24B Instruct 2512 8bit requires approximately 26.5 GB of VRAM and supports a context window of 384K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Devstral Small 2 24B Instruct 2512 8bit and how large is it?

Devstral Small 2 24B Instruct 2512 8bit is developed by mlx-community, 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 2 24B Instruct 2512 8bit?

Devstral Small 2 24B Instruct 2512 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Devstral Small 2 24B Instruct 2512 8bit by mlx-community — VRAM 26.5GB, 384K context

Name: Devstral Small 2 24B Instruct 2512 8bit
Author: mlx-community

Devstral Small 2 24B Instruct 2512 8bit is an open-source language model by mlx-community. Features: 24b LLM, VRAM: 26.5GB, Context: 384K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.22.

8-bit 8bit Base model:mistralai/devstral-... Base model:quantized:mistralai... Conversational Image-text-to-text Instruct Mistral-common Mistral3 Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Devstral-Small-2-24B-Instruct-2512-8bit

Devstral Small 2 24B Instruct 2512 8bit Parameters and Internals

LLM Name	Devstral Small 2 24B Instruct 2512 8bit
Repository 🤗	https://huggingface.co/mlx-community/Devstral-Small-2-24B-Instruct-2512-8bit
Base Model(s)	...tral Small 2 24B Instruct 2512 mistralai/Devstral-Small-2-24B-Instruct-2512
Model Size	24b
Required VRAM	26.5 GB
Updated	2026-08-13
Maintainer	mlx-community
Instruction-Based	Yes
Model Files	5.4 GB: 1-of-5 5.3 GB: 2-of-5 5.3 GB: 3-of-5 5.3 GB: 4-of-5 5.2 GB: 5-of-5
Quantization Type	8bit
Model Architecture	MambaSSM
License	apache-2.0
Context Length	393216
Model Max Length	393216
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	131072

Rank the Devstral Small 2 24B Instruct 2512 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 2 24B Instruct 2512 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...Small 2 24B Instruct 2512 4bit	384K / 15 GB	104813	8
...Small 2 24B Instruct 2512 6bit	384K / 20.8 GB	531	5
...tral Small 2 24B Instruct 2512	384K / 51.6 GB	240440	618
...Small 2 24B Instruct 2512 Bf16	384K / 47.8 GB	367	4
...al Small 3.2 24B Instruct 2506	128K / 48.2 GB	312176	602
Devstral Small 2507	128K / 47.3 GB	116445	368
Magistral Small 2509	128K / 48.2 GB	33508	305
Devstral Small 2505	128K / 47.3 GB	4960	867
...mall 3.2 24B Instruct 2506 FP8	128K / 25.8 GB	81	6
Magistral Small 2506	40K / 47.3 GB	18796	609

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Devstral-Small-2-24B-Instruct-2512-8bit.