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Hugging Face · Orchestra-Research/AI-Research-SKILLs
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints. | Orchestra-Research/ | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation. | Orchestra-Research/ | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects. | Orchestra-Research/ | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking. | Orchestra-Research/ | 13k | 6 repos | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 5 | Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. | Orchestra-Research/ | 13k | 6 repos | ~3.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 6 | Uses the Outlines library to constrain model output to a JSON schema, Pydantic model, regex or fixed set of choices when running local models. | Orchestra-Research/ | 13k | 9 repos | ~4k | Automated safety check: Pass | MIT | 3 mo ago |
| 7 | Generates and edits images with Stable Diffusion through Hugging Face Diffusers, covering text-to-image, image-to-image, inpainting, SDXL and custom pipelines. | Orchestra-Research/ | 13k | 5 repos | ~3.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 8 | Benchmarks code generation models with the BigCode Evaluation Harness across HumanEval, MBPP, MultiPL-E and other suites using pass@k metrics. | Orchestra-Research/ | 13k | 4 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 9 | Adds distributed and mixed-precision training to a PyTorch script with a few Accelerate lines, then launches it on one GPU, many GPUs or DeepSpeed and FSDP setups. | Orchestra-Research/ | 13k | 5 repos | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 10 | Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps. | Orchestra-Research/ | 13k | 3 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 11 | Half-Quadratic Quantization for LLMs without calibration data. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 12 | 12.Moe Training Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. | Orchestra-Research/ | 13k | 2 repos | ~3.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 13 | Guides causal experiments on PyTorch models with pyvene, such as causal tracing, activation patching and interchange intervention training, to test how a model works. | Orchestra-Research/ | 13k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 14 | Loads large language models in 8-bit or 4-bit with bitsandbytes so they fit smaller GPUs, and sets up QLoRA fine-tuning on a 4-bit base model. | Orchestra-Research/ | 13k | 2 repos | ~2.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 15 | Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery. | Orchestra-Research/ | 13k | 2 repos | ~2.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 16 | Generates text embeddings locally with the sentence-transformers library for RAG, semantic search, clustering and similarity, with model picks for general, multilingual and legal text. | Orchestra-Research/ | 13k | 2 repos | ~1.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 17 | Explains three ways to speed up LLM inference: draft-model speculative decoding, Medusa heads and lookahead decoding with Jacobi iteration, and when each one fits. | Orchestra-Research/ | 13k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 18 | Guides reinforcement-learning research with torchforge, Meta's PyTorch-native library that keeps RL algorithms apart from infrastructure, including GRPO math-reasoning runs. | Orchestra-Research/ | 13k | 2 repos | ~2.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 19 | Trains LLMs with reinforcement learning using verl, from ByteDance's Seed team, with GRPO, PPO and other algorithms and swappable training and rollout backends. | Orchestra-Research/ | 13k | 2 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 20 | Explains how to train a model to be harmless with self-critique, revision and AI-generated preference feedback, with Hugging Face and TRL code for each stage. | Orchestra-Research/ | 13k | 2 repos | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 21 | Guides GRPO reinforcement-learning fine-tuning of language models with TRL, centered on designing reward functions for formats, verifiable tasks and reasoning. | Orchestra-Research/ | 13k | 3 repos | ~4.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 22 | Guide to using Mamba selective state-space models for linear-time sequence modeling, from the Mamba block and pretrained checkpoints to Mamba-2 and speed comparisons. | Orchestra-Research/ | 13k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 23 | Uses Meta's LlamaGuard moderation model to screen prompts and model replies against six safety categories, with vLLM, FastAPI and NeMo Guardrails setups. | Orchestra-Research/ | 13k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 24 | 24.Prompt Guard Meta's 86M prompt injection and jailbreak detector. An agent skill from Orchestra-Research/AI-Research-SKILLs. | Orchestra-Research/ | 13k | 1 repo | ~2.4k | Automated safety check: Warn | MIT | 3 mo ago |
