Search
OpenAI · Fine-tuning
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Check Kiln's fine-tunable model list for deprecated or unsupported base models. | Kiln-AI/ | 5.2k | — | ~1.9k | Automated safety check: Notes | Unknown | yesterday |
| 2 | Generates code that transforms datasets between ML schemas for model training or evaluation. | awslabs/ | 916 | 1 repo | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | 3.Mesh API Interact with a Meshtastic LoRa mesh network through MESH-API — list nodes, read messages, send texts, and check connection status. | mr-tbot/ | 180 | — | ~1.8k | Automated safety check: Pass | GPL-3.0 | 2 mo ago |
| 4 | Guides LLM fine-tuning with LoRA and QLoRA through Hugging Face PEFT, from dataset validation and training checks to adapter merging, quantization and deployment. | Jeffallan/ | 12k | — | ~1.7k | Automated safety check: Pass | MIT | 7 days ago |
| 5 | Save the current conversation as a trajectory JSON file in OpenAI chat completion format for analysis and fine-tuning | AgentToolkit/ | 123 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 6 | Local TensorZero documentation reference (latest). An agent skill from olorehq/olore. | olorehq/ | 104 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 7 | 7.Vllm A skill your agent uses when self-hosting an open-weight LLM for high-throughput concurrent serving with vLLM — running an OpenAI-compatible endpoint, splitting a model across GPUs with tensor or… | ericrisco/ | 180 | — | ~3.6k | Automated safety check: Pass | MIT | yesterday |
| 8 | Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems. | magnus919/ | 115 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 9 | Selects the optimal LLM model and provider for each task based on complexity, cost budget, and capability requirements. | curiositech/ | 244 | — | ~1.7k | Automated safety check: Pass | MIT | 1 mo ago |