Repository Index

A high-throughput and memory-efficient inference and serving engine for LLMs

• gpt
• llm
• pytorch
• model-serving

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

• fine-tuning
• llama
• llm
• peft

SGLang is a high-performance serving framework for large language models and multimodal models.

• cuda
• inference
• llama
• llm

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

• llm
• lora
• sft
• multimodal

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

• blackwell
• cuda
• moe
• pytorch

Implementing LLM architectures from scratch in PyTorch

• gemma3
• llama4
• llm
• moe

Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.

• apple-silicon
• llm
• llm-inference
• local-llm