62678e58a8
Codex review: _DATACENTER_GPU_TOKENS omitted GH200 (Grace-Hopper) and B300 (Blackwell Ultra), though it has the distinct GB200/GB300 superchip tokens. So _is_consumer_gpu returned True for 'NVIDIA GH200 480GB' / 'NVIDIA B300', and the auto ladder moved int8 ahead of fp8 on those data-center parts -- contradicting llama_cpp.py's datacenter regex, which lists both. Added GH200 and B300 so they are treated as data-center class and keep the intended fp8-first behavior. Test: extends the datacenter parametrize with 'NVIDIA B300' and 'NVIDIA GH200 480GB' (now _is_consumer_gpu False). |
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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_node_prebuilt.py | ||
| install_python_stack.py | ||
| install_sd_cpp_prebuilt.py | ||
| LICENSE.AGPL-3.0 | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||