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AI & LLM Engineering · mlc-ai/pith-train
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Capture a Nsight Systems (.nsys-rep) profile of a short PithTrain run for performance analysis. | mlc-ai/ | 355 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 2 | Measures the throughput difference between two branches with force-balanced routing. | mlc-ai/ | 355 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 3 | Set up the minimal set of artifacts (tokenized DCLM corpus shard + released HuggingFace checkpoint converted to DCP) required to benchmark, profile, or regression-test a MoE model in PithTrain. | mlc-ai/ | 355 | — | ~399 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 4 | Adds support for a new MoE language model to PithTrain. An agent skill from mlc-ai/pith-train. | mlc-ai/ | 355 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 5 | Read, analyze, and manage Weights & Biases (wandb) experiment data for PithTrain runs. | mlc-ai/ | 355 | — | ~1.1k | Automated safety check: Warn | Apache-2.0 | 2 days ago |
| 6 | Estimate peak GPU memory for a DualPipeV training run. An agent skill from mlc-ai/pith-train. | mlc-ai/ | 355 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 7 | Reference for launching jobs inside a SLURM allocation via srun (single-node or multi-node). | mlc-ai/ | 355 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 8 | Add detailed memory profiling prints throughout the training framework. | mlc-ai/ | 355 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
