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.
infly/OpenCoder-8B-Instruct-GGUFcodestandard
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
Technical notes
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.