Accessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytesAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
the terminal client for LLMs
Accessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytesPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionA log of things I'm learning
$ npx skills add amitness/learningNLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optunaChatterBot is a machine learning, conversational dialog engine for creating chat bots
$ npx skills add gunthercox/ChatterBotA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsUniform Manifold Approximation and Projection
$ npx skills add lmcinnes/umapA self-hosted open source photo management service.
$ npx skills add LibrePhotos/librephotos⚡ TabPFN: Foundation Model for Tabular Data ⚡
$ npx skills add PriorLabs/TabPFNCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseWelcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
$ npx skills add meta-llama/llama-cookbookThe absolute trainer to light up AI agents.
$ npx skills add microsoft/agent-lightning🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
$ npx skills add huggingface/transformersDeep Learning for humans
$ npx skills add keras-team/kerasHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Oterm if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.