Stars
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Train embedding and reranker models for retrieval tasks on Apple Silicon with MLX
Renderer for the harmony response format to be used with gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
aider is AI pair programming in your terminal
Simple UI for debugging correlations of text embeddings
Sample code that explores an architecture for using language models to build a personal agent that can work with application agents.
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
Code for explaining and evaluating late chunking (chunked pooling)
Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
LLM-Merging: Building LLMs Efficiently through Merging
[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
[ACL 2025] AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
Your API ⇒ Paid MCP. Instantly.
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
FastAPI to the Cloud, Batteries Included! ☁️🔋🚀
A Python vector database you just need - no more, no less.