LocalClaw/LLM/Llama 3.1 (8B)
Open-weight local LLM

Llama 3.1 (8B)

Catalogue summary: Meta's state-of-the-art open model. 128K context, strong multilingual support. 104M+ downloads. Industry standard.

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

8 GB catalogue minimum8 GB RAMQ5_K_MCoding assistant
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OllamaNot available for this model
Open on Hugging FaceFiles, licence and available downloadsOpen llama.cpp setupAdvanced option: opens the model filesUse with LocalClawOptional workspace after the model is installed

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Parameters
8B
Minimum RAM
8 GB
Model size
4.7 GB
Quantization
Q5_K_M

Can Llama 3.1 (8B) run locally?

Llama 3.1 (8B) has a catalogue minimum of 8 GB RAM with Q5_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use llama-3.1-8b-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/Meta-Llama-3.1-8B-Instruct-GGUFUpstream releasePaper or model cardLicence text
chatgeneralstandardcode

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch llama-3.1-8b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: llama
  • Parameters: 8B
  • Recommended quantization: Q5_K_M
  • Catalogue minimum RAM: 8 GB
  • Catalogue model size: 4.7 GB
  • Tags: chat, general, standard, code

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
  • code

Capability profile

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

speed
8
quality
7
coding
7
reasoning
7

Technical notes

Developer
Meta AI
License
Llama 3.1 Community License
Context window
131,072 tokens
Architecture
Transformer decoder-only with GQA, 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.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Related catalogue entries

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

Llama 3 (8B) 8BLlama 3.3 (8B) 8BLlama 3.1 (70B) 70BLlama3 ChatQA (8B) 8BLlama 3.2 (1B) 1BLlama 3.2 (3B) 3BLlama 4 Scout (17B/16E MoE) 17B active (109B total, 16 experts)Llama 3.3 (70B) 70B

Where to go next