LocalClaw/LLM/Mistral Nemo (12B)
Open-weight local LLM

Mistral Nemo (12B)

Catalogue summary: Mistral x NVIDIA 128K context model. Excellent for long documents and conversations. 2.7M downloads.

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

12 GB catalogue minimum12 GB RAMQ5_K_MGeneral local assistant
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Parameters
12B
Minimum RAM
12 GB
Model size
7.1 GB
Quantization
Q5_K_M

Can Mistral Nemo (12B) run locally?

Mistral Nemo (12B) has a catalogue minimum of 12 GB RAM with Q5_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

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

Public GGUF repository (verified 2026-09-07): lmstudio-community/Mistral-Nemo-Instruct-2407-GGUFUpstream releaseLicence text
chatgeneralstandard

Install path

01
Check RAM fitMinimum 12 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch mistral-nemo-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: mistral
  • Parameters: 12B
  • Recommended quantization: Q5_K_M
  • Catalogue minimum RAM: 12 GB
  • Catalogue model size: 7.1 GB
  • Tags: chat, general, standard

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
  • general
  • standard

Capability profile

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

speed
7
quality
8
coding
7
reasoning
7

Technical notes

Developer
Mistral AI × NVIDIA
License
Apache 2.0
Context window
131,072 tokens
Architecture
Transformer with 128K context

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.

Ministral 3 8B Instruct 8BMistral 7B v0.3 7BMinistral 3 3B Instruct 3BMistral Small 3.2 (24B) 24BMistral Small (24B) 24BMathstral (7B) 7BMinistral 3 14B Instruct 14BMistral Small 3.1 (24B) 24B

Where to go next