Open-weight local LLM

GPT-OSS (20B)

OpenAI open-weight reasoning model. First open release from OpenAI. Strong general + coding capabilities. 3.4M downloads.

16 GB sweet spot 16 GB RAM Q5_K_M General AI assistant
Parameters
20B
Minimum RAM
16 GB
Model size
12 GB
Quantization
Q5_K_M

Can GPT-OSS (20B) run locally?

GPT-OSS (20B) is a practical pick for 16 GB machines, especially with Q5_K_M quantization.

Search for gpt-oss-20b in LM Studio or another GGUF-compatible runtime.

chatcodereasoningpowergeneral

Install path

01
Check RAM fitMinimum 16 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch gpt-oss-20b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • First open-weight model from OpenAI
  • 3.4M downloads
  • Strong general + coding
  • 128K context

Limitations

  • OpenAI restrictive license
  • Only 20B — smaller than expected
  • Limited fine-tuning allowed

Best use cases

  • General AI assistant
  • Coding
  • Reasoning
  • Research comparison

Capability profile

speed
5
quality
8
coding
8
reasoning
9

Technical notes

Developer
OpenAI
License
OpenAI Open Weight License
Context window
131,072 tokens
Architecture
Transformer (OpenAI architecture)

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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Where to go next