LocalClaw/LLM/Mixtral (8x7B)
Open-weight local LLM

Mixtral (8x7B)

Catalogue summary: Mistral's MoE pioneer. 46.7B total, fast inference via sparse activation. Multilingual. 1.4M downloads.

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

32 GB catalogue minimum32 GB RAMQ4_K_MGeneral local assistant
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Parameters
8x7B (46.7B)
Minimum RAM
32 GB
Model size
26 GB
Quantization
Q4_K_M

Can Mixtral (8x7B) run locally?

Mixtral (8x7B) has a catalogue minimum of 32 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use mixtral-8x7b-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): TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUFUpstream releasePaper or model cardLicence text
chatgeneralpowerquality

Install path

01
Check RAM fitMinimum 32 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch mixtral-8x7b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: mixtral
  • Parameters: 8x7B (46.7B)
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 32 GB
  • Catalogue model size: 26 GB
  • Tags: chat, general, power, quality

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
  • power
  • quality

Capability profile

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

speed
4
quality
8
coding
8
reasoning
8

Technical notes

Developer
Mistral AI
License
Apache 2.0
Context window
32,768 tokens
Architecture
Sparse Mixture of Experts — 8 experts, 2 active per token

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.

Gemma 3 (27B) 27BGLM-4 (32B) 32BQwen 3 (32B) 32BMistral Small (24B) 24BHermes 4 (70B) 70BLlama 3.3 (70B) 70BLlama-3.1-Nemotron (70B) 70BCommand R+ (104B) 104B

Where to go next