For hardware compatibility issues, the following steps can be taken to resolve them:
- Select the adapted model version: gpt-oss-20b requires only 16GB of RAM for an average PC, while gpt-oss-120b requires 80GB of GPU RAM for a high-performance device.
- Optimized reasoning configurations: in
llama-serverAdd at startup--cache-reuse 128parameter to reduce the memory footprint, or bygpt-oss-template.jinjaThe document sets the reasoning level to "low". - Debugging Tools: If the model fails to load, enable the
PYTORCH_CUDA_ALLOC_CONF=expandable_segments:TrueSolve GPU memory allocation problems. - alternative: In case of insufficient hardware, it can be replaced with a cloud API service that modifies the
config.pyThe endpoint address in the
It is recommended that developers choose the model version and configuration method reasonably according to their own equipment conditions.
This answer comes from the articlegpt-oss-space-game: a local voice-interactive space game built using open-source AI modelsThe
May not be reproduced without permission:AI productivity tools " How to fix hardware compatibility issues when running gpt-oss-space-game project locally?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil