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Fine-tuning
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 145 | Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. | NVIDIA/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 146 | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. | google/ | 21k | — | ~7.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 147 | Agent Platform Model Tuning. An agent skill from google/skills. | google/ | 21k | — | ~9.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 148 | 148.Embedder API The animalora programmatic façade for embedders — namespaces and lazy re-exports, the request-driven GenerationRequest inference path, adapter family from checkpoint metadata, and ANIMAHOME path… | sorryhyun/ | 125 | — | ~544 | Automated safety check: Pass | MIT | yesterday |
| 149 | Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 150 | Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL… | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 151 | Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. | sickn33/ | 47k | 1 repo | ~2.5k | Automated safety check: Pass | MIT | 2 days ago |
| 152 | Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. | sickn33/ | 47k | 1 repo | ~8.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 153 | 153.LLM Fine Tuning Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP. | sickn33/ | 47k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 2 days ago |
| 154 | Fine-tune and post-train LLMs with Unsloth Core on a single consumer GPU: VRAM sizing, LoRA/QLoRA, GRPO/DPO, chat-template correctness, and GGUF export. | sickn33/ | 47k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 155 | Manages and orchestrates prompts in Agent Platform. An agent skill from google/skills. | google/ | 21k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 156 | Generates a Gemini LiveAPI client service class in the user's chosen programming language. | google/ | 21k | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 157 | 157.Model Scaffold A skill your agent uses when you need a runnable PyTorch training repo for a medical-imaging task (segmentation, classification, detection, synthesis, self-supervised, or fine-tuning a pretrained… | Aperivue/ | 333 | — | ~3.1k | Automated safety check: Pass | MIT | 6 days ago |
| 158 | Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. | awslabs/ | 916 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 159 | Design/audit imaging truth, readers, ROI geometry, reproducibility and label noise; not model training. | huang-sir1/ | 1.9k | — | ~1.7k | Automated safety check: Pass | Unknown | 20 days ago |
| 160 | 160.Transformers Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. | ynulihao/ | 618 | — | ~2.9k | Automated safety check: Pass | No licence | 7 mo ago |
| 161 | A skill your agent uses when optimising Largest Contentful Paint (LCP), reducing render-blocking resource contention, or fine-tuning resource loading order in the critical rendering path. | thedaviddias/ | 74k | — | ~535 | Automated safety check: Pass | MIT | 5 days ago |
| 162 | 162.Film Crew Run Guaardvark's five-role Film Crew locally: screenwriter, casting (Cast Library LoRAs), cinematographer storyboards, keyframe renders, editor. | guaardvark/ | 257 | — | ~727 | Automated safety check: Pass | MIT | yesterday |
| 163 | 163.Quantized Export Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 6 days ago |
| 164 | 164.Lora Routing The LoRA-family three-axis routing surface (usemoestyle / routeperlayer / routersource) — the variant matrix, per-variant module details (LoRA/T-LoRA/Hydra), and GlobalRouter mechanics. | sorryhyun/ | 125 | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 165 | Fine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. | NVIDIA/ | 3.6k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 166 | Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. | NVIDIA/ | 3.6k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 167 | Manages GenAI tuning jobs in Agent Platform. An agent skill from google/skills. | google/ | 21k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 168 | Select models, prepare exact training inputs, estimate costs, launch and inspect Overmind fine-tuning jobs. | overmind-core/ | 608 | — | ~837 | Automated safety check: Pass | AGPL-3.0 | 2 days ago |
| 169 | 169.Serverless Modal Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. | AI4Scientist/ | 128 | 3 repos | ~3.1k | Automated safety check: Notes | No licence | 4 mo ago |
| 170 | Run a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally | ruvnet/ | 74k | — | ~1.8k | Automated safety check: Notes | MIT | yesterday |
| 171 | Run the disk-backed DEFT AOI improvement loop for NVIDIA Cosmos Reason 3 / Cosmos3 models, using Nano by default and Edge or Super when explicitly requested: evaluate the base model on Proxy and… | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 172 | 172.Kermt Finetune Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit. | NVIDIA-BioNeMo/ | 479 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 173 | Train a custom anime LoRA on the ANIMA base model with Citron's local Gradio trainer (kohya sd-scripts), <6GB VRAM, character/style LoRAs; covers setup, dataset prep, training params, and using the… | artokun/ | 803 | — | ~2.2k | Automated safety check: Pass | MIT | 6 days ago |
| 174 | 174.Debug Render Debug a WRONG or imperfect render (not a hard error) by inspecting inputs and intermediate steps with run-to-node. | artokun/ | 803 | — | ~1.7k | Automated safety check: Pass | MIT | 6 days ago |
| 175 | 175.Ernie Image Build Baidu ERNIE-Image / ERNIE-Image-Turbo workflows, primarily TEXT-TO-IMAGE. | artokun/ | 803 | — | ~4.5k | Automated safety check: Pass | MIT | 6 days ago |
| 176 | 176.Flux Txt2img Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns | artokun/ | 803 | — | ~3k | Automated safety check: Pass | MIT | 6 days ago |
| 177 | 177.Minimax H3 Video Build MiniMax H3 (Hailuo) local video workflows with native T2V/I2V/R2V nodes, Comfy-Org INT8 weights, turbo LoRAs for 8GB VRAM, 15-second stereo-audio clips, and the official MiniMax prompting… | artokun/ | 803 | — | ~3.4k | Automated safety check: Pass | MIT | 6 days ago |
| 178 | Model family compatibility matrix covering loaders, resolutions, samplers, CFG, VAE, ControlNet, and LoRA compatibility for SD 1.5, SDXL, Flux, SD3, and video models | artokun/ | 803 | — | ~4k | Automated safety check: Pass | MIT | 6 days ago |
| 179 | 179.Model Registry Curated download URLs and target directories, organized by family (Flux, WAN, LTX, Qwen, Z-Image, SD15/SDXL), for every model the comfyui-mcp skills reference, covering checkpoints, VAEs, text… | artokun/ | 803 | — | ~2.1k | Automated safety check: Pass | MIT | 6 days ago |
| 180 | 180.Qwen Image Edit Build Qwen Image Edit workflows covering model loading, conditioning, LoRAs, prompt patterns, and XY plot testing | artokun/ | 803 | — | ~4.6k | Automated safety check: Pass | MIT | 6 days ago |
| 181 | 181.Qwen Txt2img Build Qwen Image 2512 text-to-image workflows with QwenImageIntegratedKSampler, separate component loading, lightning LoRAs, and fine-tuned model variants | artokun/ | 803 | — | ~3.3k | Automated safety check: Pass | MIT | 6 days ago |
| 182 | Train a character/identity LoRA locally on FLUX.1-dev via the comfyui-mcp train tools (GPU Docker + ostris ai-toolkit). | artokun/ | 803 | — | ~1.3k | Automated safety check: Pass | MIT | 6 days ago |
| 183 | 183.Video Extend Extend / continue a video temporally with Pusa 2.2 in ComfyUI. | artokun/ | 803 | — | ~6.4k | Automated safety check: Pass | MIT | 6 days ago |
| 184 | 184.Wan Flf Video Build WAN 2.2 First-Last-Frame video workflows. An agent skill from artokun/comfyui-mcp. | artokun/ | 803 | — | ~5.1k | Automated safety check: Pass | MIT | 6 days ago |
| 185 | 185.Wan T2v Video Build WAN 2.2 Text-to-Video workflows. An agent skill from artokun/comfyui-mcp. | artokun/ | 803 | — | ~3.3k | Automated safety check: Pass | MIT | 6 days ago |
| 186 | 186.Z Image Txt2img Build Z-Image txt2img workflows. An agent skill from artokun/comfyui-mcp. | artokun/ | 803 | — | ~2.8k | Automated safety check: Pass | MIT | 6 days ago |
| 187 | 187.Simpo Reference-free preference alignment, simpler than DPO. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~1.4k | Automated safety check: Pass | MIT | 3 days ago |
| 188 | 188.Trl Fine Tuning TRL: SFT, DPO, GRPO, RLOO reward modeling for LLM RLHF. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~3.4k | Automated safety check: Pass | MIT | 3 days ago |
| 189 | 189.Peft Fine-tune large LLMs with LoRA on limited GPU memory. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~3k | Automated safety check: Pass | MIT | 3 days ago |
| 190 | 190.Tinker Fine-tune LLMs using the Tinker API. An agent skill from sundial-org/skills. | sundial-org/ | 153 | — | ~1.2k | Automated safety check: Pass | No licence | 2 mo ago |
| 191 | 191.Fal Train Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style. | nexu-io/ | 100k | — | ~293 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 192 | [omh] Fine-tuning a model on your own data -- SFT, DPO, RLVR or a LoRA adapter: decide first whether prompting or retrieval already closes the gap, choose the method from the data you have, and… | rlaope/ | 3.2k | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |