Open-weight local LLM

Qwen 3 Coder (8B)

Qwen coding specialist with long context. Great for agentic coding tasks. 477K downloads.

Laptop ready 8 GB RAM Q4_K_M Agentic coding
Parameters
8B
Minimum RAM
8 GB
Model size
5 GB
Quantization
Q4_K_M

Can Qwen 3 Coder (8B) run locally?

Qwen 3 Coder (8B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for qwen3-coder-8b in LM Studio or another GGUF-compatible runtime.

codestandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch qwen3-coder-8b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • 256K context for huge codebases
  • Agentic coding specialist
  • Apache 2.0
  • 477K downloads

Limitations

  • Coding specialist — limited general chat
  • New model
  • Needs 8GB+ RAM

Best use cases

  • Agentic coding
  • Code generation
  • Large codebase analysis
  • Automated development

Capability profile

speed
8
quality
7
coding
9
reasoning
7

Technical notes

Developer
Alibaba Cloud (Qwen Team)
License
Apache 2.0
Context window
262,144 tokens
Architecture
Transformer fine-tuned for agentic coding

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.

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