LocalClaw/LLM/Apertus 8B Instruct
Open-weight local LLM

Apertus 8B Instruct

Catalogue summary: Swiss AI Initiative fully open multilingual model with open weights, open data, open training artifacts and Apache 2.0 licensing. Practical 8B local option with GGUF and MLX community builds.

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

16 GB catalogue minimum16 GB RAMQ4_K_MGeneral local assistant
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Parameters
8B
Minimum RAM
16 GB
Model size
5 GB
Quantization
Q4_K_M

Can Apertus 8B Instruct run locally?

Apertus 8B 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 apertus-8b-instruct-2509 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/Apertus-8B-Instruct-2509-GGUFUpstream releasePaper or model cardLicence text
chatstandardmultilingualopen-datageneral

Install path

01
Check RAM fitMinimum 16 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch apertus-8b-instruct-2509 in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: apertus
  • Parameters: 8B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 16 GB
  • Catalogue model size: 5 GB
  • Tags: chat, standard, multilingual, open-data, general

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
  • standard
  • multilingual
  • open-data
  • general

Capability profile

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

speed
8
quality
7
coding
6
reasoning
7

Technical notes

Developer
Swiss AI Initiative
License
Apache 2.0
Context window
32,768 tokens
Architecture
Dense decoder-only Apertus 8B instruction model released as part of the Swiss AI Initiative open-data and open-weights model family.

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 8BOLMo 3 7B Instruct 7BGLM-4 (9B) 9BMistral Nemo (12B) 12BNemotron Nano 9B v2 9BAya (8B) 8BCogito (8B) 8BDolphin 3 (8B) 8B

Where to go next