LocalClaw/LLM/Llama 3.3 (8B)
Open-weight local LLM

Llama 3.3 (8B)

Meta's refined 8B. Best all-around model for general use. Rock-solid instruction following.

Laptop ready 8 GB RAM Q5_K_M General chat
Run with LocalClaw Compare all models
Parameters
8B
Minimum RAM
8 GB
Model size
5.7 GB
Quantization
Q5_K_M

Can Llama 3.3 (8B) run locally?

Llama 3.3 (8B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for llama-3.3-8b-instruct in LM Studio or another GGUF-compatible runtime.

lmstudio-community/Llama-3.3-8B-Instruct-GGUF
chatgeneralstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch llama-3.3-8b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Refined 8B — best all-around
  • Rock-solid instruction following
  • 128K context
  • 8 languages

Limitations

  • Surpassed by Qwen 3 8B on some tasks
  • Llama license restrictions

Best use cases

  • General chat
  • Quick tasks
  • Tool calling
  • RAG applications

Capability profile

speed
8
quality
7
coding
7
reasoning
7

Technical notes

Developer
Meta AI
License
Llama 3.3 Community License
Context window
131,072 tokens
Architecture
Transformer decoder-only with GQA

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

Similar models to compare

Qwen 3 (8B) 8BGemma 2 (9B) 9BMistral 7B v0.3 7B

Where to go next