Open-weight local LLM

OpenCoder (8B)

Open reproducible code LLM. Fully transparent training. Bilingual coding. 172K downloads.

Laptop ready 8 GB RAM Q5_K_M Coding assistant
Parameters
8B
Minimum RAM
8 GB
Model size
5 GB
Quantization
Q5_K_M

Can OpenCoder (8B) run locally?

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

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

codestandard

Install path

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

Strengths

  • Open reproducible code LLM. Fully transparent training. Bilingual coding. 172K downloads.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • code
  • standard

Capability profile

speed
8
quality
6
coding
8
reasoning
6

Technical notes

Developer
opencoder
License
See model repository
Context window
Unknown tokens
Architecture
See model card

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.

Where to go next