5603ced75f
_get_gpu_free_memory was filtering by CUDA_VISIBLE_DEVICES, so with CUDA_VISIBLE_DEVICES='0' set by the training env, llama-server only saw 1 GPU and used --fit for CPU offloading instead of spreading across all 8 GPUs. Since llama-server manages its own GPU allocation (the _select_gpus method picks GPUs and sets CUDA_VISIBLE_DEVICES for the subprocess), the query must see ALL physical GPUs to make the right decision. |
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| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| training | ||
| __init__.py | ||