BabyLM babylm.github.io ↗

A command-line tool for prompting various language models.

A minimal-code repository for training a small GPT-2-style chat model.

Models from Liquid AI trained specifically to produce decisions with calibrated confidence.

A public benchmark suite for evaluating large language models.

A library for running vision-language models on Apple Silicon via MLX.

A large language model in the Terra series.

A transformer model that does tabular prediction via in-context learning.

Google's family of open-weight language models that can run locally.

A marketplace that routes API requests to many LLM inference providers.

A family of large language models offered via a low-cost API.

A C/C++ engine for running LLMs locally.

An open-weights large language model family from Zhipu AI.

Alibaba's family of open-weight large language models.

A low-cost DeepSeek language model available via API.

A site benchmarking and comparing AI models on quality, price and speed.

Anthropic's AI model and command-line assistant.

A Qwen open-weight model that can be run locally.

An open-source project for running large MoE models on small-VRAM GPUs with system RAM.

A subscription plan for accessing models through the OpenCode coding tool.

A service that uses a trained model to detect AI-generated text.