LocalClaw/LLM/Devstral (24B)
Open-weight local LLM

Devstral (24B)

Best open model for coding agents. Designed for agentic coding workflows. 391K downloads.

32 GB power user 20 GB RAM Q4_K_M Agentic coding
Run with LocalClaw Compare all models
Parameters
24B
Minimum RAM
20 GB
Model size
14 GB
Quantization
Q4_K_M

Can Devstral (24B) run locally?

Devstral (24B) belongs on 32 GB machines when you want stronger quality without jumping to server hardware.

Search for devstral-24b in LM Studio or another GGUF-compatible runtime.

mistralai/Devstral-Small-2507-GGUF
codepower

Install path

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

Strengths

  • Best open model for coding agents
  • Apache 2.0
  • 128K context
  • Designed for agentic workflows

Limitations

  • Needs 20GB+ RAM
  • Coding specialist — limited general chat

Best use cases

  • Agentic coding
  • Automated software development
  • Code review
  • Complex refactoring

Capability profile

speed
5
quality
8
coding
10
reasoning
8

Technical notes

Developer
Mistral AI
License
Apache 2.0
Context window
131,072 tokens
Architecture
Transformer optimized for agentic coding

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

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Where to go next