LocalClaw/LLM/Ministral 3 14B Instruct
Open-weight local LLM

Ministral 3 14B Instruct

Catalogue summary: Mistral AI larger Ministral 3 instruct model. Apache 2.0, official GGUF availability, better quality ceiling than the 3B/8B variants while staying practical on 16-32GB workstations.

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

16 GB catalogue minimum16 GB RAMQ4_K_MReasoning
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Parameters
14B
Minimum RAM
16 GB
Model size
8.5 GB
Quantization
Q4_K_M

Can Ministral 3 14B Instruct run locally?

Ministral 3 14B Instruct has a catalogue minimum of 16 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use ministral-3-14b-instruct-2512 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): mistralai/Ministral-3-14B-Instruct-2512-GGUFUpstream releasePaper or model cardLicence text
chatvisionpowerreasoningmultilingual

Install path

01
Check RAM fitMinimum 16 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch ministral-3-14b-instruct-2512 in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: mistral
  • Parameters: 14B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 16 GB
  • Catalogue model size: 8.5 GB
  • Tags: chat, vision, power, reasoning, multilingual

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
  • vision
  • power
  • reasoning
  • multilingual

Capability profile

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

speed
7
quality
8
coding
8
reasoning
8

Technical notes

Developer
Mistral AI
License
Apache 2.0
Context window
131,072 tokens
Architecture
Mistral 3 multimodal Transformer, instruction tuned, with official GGUF quantizations.

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.

Starter desktopMac mini M4 16GBPortable fitMacBook Air M4 16GBBest 16GB models16GB RAM guide

Related catalogue entries

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

Mistral Small 4 (119B-A6.5B) 119B (6.5B active, MoE)Mistral Small 3.1 (24B) 24BMistral Small 3.2 (24B) 24BMinistral 3 8B Instruct 8BMagistral (24B) 24BMistral Small (24B) 24BMinistral 3 3B Instruct 3BCodestral (22B) 22B

Where to go next