LocalClaw/LLM/Mistral Small 3.2 (24B)
Open-weight local LLM

Mistral Small 3.2 (24B)

Catalogue summary: Mistral AI's June 2025 dense 24B release. Improved instruction following, function calling, and reduced repetition. Strong European-language support. 128K context. Apache 2.0.

Repository editorial metadata; verify comparative claims in the linked upstream material.

20 GB catalogue minimum20 GB RAMQ4_K_MCoding assistant
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Parameters
24B
Minimum RAM
20 GB
Model size
14.3 GB
Quantization
Q4_K_M

Can Mistral Small 3.2 (24B) run locally?

Mistral Small 3.2 (24B) has a catalogue minimum of 20 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use mistral-small-3.2-24b-instruct as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Model sourcePublic GGUF repository (verified 2026-09-07): unsloth/Mistral-Small-3.2-24B-Instruct-2506-GGUF
chatcodepowergeneralreasoning

Install path

01
Check RAM fitMinimum 20 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch mistral-small-3.2-24b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Download formats for this model

These are quantizations of the same model. The RAM fit above uses Q4_K_M; larger files need more memory. File sizes exclude the runtime, context cache and optional vision projector.

Catalogue record

  • Family: mistral
  • Parameters: 24B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 20 GB
  • Catalogue model size: 14.3 GB
  • Tags: chat, code, power, general, reasoning

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • code
  • power
  • general
  • reasoning

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
6
quality
8
coding
8
reasoning
8

Technical notes

Developer
See upstream repository
License
See upstream repository
Context window
See upstream repository
Architecture
See upstream repository

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Ministral 3 14B Instruct 14BMistral Small (24B) 24BMistral Small 4 (119B-A6.5B) 119B (6.5B active, MoE)Devstral (24B) 24BMagistral (24B) 24BMistral Small 3.1 (24B) 24BCodestral (22B) 22BMistral Nemo (12B) 12B

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