Search
AI & LLM Engineering · Python · amd/Quark
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning. | amd/ | 182 | — | ~1.4k | Automated safety check: Pass | MIT | 13 days ago |
| 2 | Install or verify the AMD Quark package and its dependencies. | amd/ | 182 | — | ~1.8k | Automated safety check: Notes | MIT | 13 days ago |
| 3 | Diagnose failed Quark ONNX installation, calibration, quantization, custom-op compilation, or export attempts. | amd/ | 182 | — | ~4.8k | Automated safety check: Pass | MIT | 13 days ago |
| 4 | Install or verify the correct ONNX Runtime build (and the onnx package) for a user's accelerator backend before Quark's ONNX-to-ONNX flow. | amd/ | 182 | — | ~3.2k | Automated safety check: Pass | MIT | 13 days ago |
| 5 | End-to-end ONNX PTQ workflow for AMD Quark — from a .onnx file (and calibration data) to a quantized .onnx output. | amd/ | 182 | — | ~4.5k | Automated safety check: Pass | MIT | 13 days ago |
| 6 | Diagnose failed Quark installation, PTQ execution, script generation, or export attempts. | amd/ | 182 | — | ~1.9k | Automated safety check: Notes | MIT | 13 days ago |
| 7 | Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation. | amd/ | 182 | — | ~1.6k | Automated safety check: Pass | MIT | 13 days ago |
| 8 | Installs or verifies AMD Quark and ensures the selected Python environment has an accelerator-matched PyTorch. | amd/ | 182 | — | ~3.5k | Automated safety check: Notes | MIT | 13 days ago |
