dcd6666f8d
The previous commit introduced the single-device budget but wired it into only the downloaded-group and Hub search sites. The LM Studio, custom-folder, local-dir, live-search and exported-GGUF expanders reachable from the Images/Video pickers still measured against the summed multi-GPU total, as did the size-based GGUF row badge, so those paths could still recommend a quant that OOMs on a single device. All GgufVariantExpander call sites in HubModelPicker now share expanderGpuGb, and the row badge derives the same task-scoped budget. |
||
|---|---|---|
| .. | ||
| 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 | ||