LLM 模型排行

Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

AI coding agent for your terminal.

One agent. Every kind of work.

Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.

Master OpenCode, the open-source AI coding agent — setup, agents, skills, plugins, MCP, Zen & headless CI.

A native .NET LLM inference engine for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability

🏭 Mega Scale Multimodal DataPipeline for SOTA Foundation Models

Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

LLM-powered knowledge base from your Claude Code, Codex CLI, Copilot, Cursor & Gemini sessions. Karpathy's LLM Wiki pattern — implemented and shipped.

Examples of integrating the OpenRouter API

Joint speech-language model - respond directly to audio!

The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.

Turn Codex threads into an organization of long-lived domain agents.

⚡ Edgen: Local, private GenAI server alternative to OpenAI. No GPU required. Run AI models locally: LLMs (Llama2, Mistral, Mixtral...), Speech-to-text (whisper) and many others.

Paper List of Pre-trained Foundation Recommender Models

❓Curie: Automated and Rigorous Scientific Experimentation with AI Agents

A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).

AutoHarness: Automated Harness Engineering for AI Agents

OpenAI-compatible Python client that can call any LLM