brainstate

sgl-project/sglang

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

Python★ 38.4kApache-2.0GitHub ↗

History and source changes · Reports and owner responses · Compare

Similar

  1. vllm-project/vllm

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

    Python★ 96.3kApache-2.0GitHub ↗

    Why this match

    topics blackwell, cuda, deepseek

  2. FlashML-org/FreeToken

    FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.

    Python★ 16.5kApache-2.0GitHub ↗

    Why this match

    topics glm, inference, minimax

  3. ollama/ollama

    Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

    Go★ 185.9kMITGitHub ↗

    Why this match

    topics deepseek, glm, gpt-oss; language differs: Python → Go; license differs: Apache-2.0 → MIT

  4. NVIDIA/TensorRT-LLM

    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.

    Python★ 15.0kGitHub ↗

    Why this match

    topics blackwell, cuda, moe

  5. oumi-ai/oumi

    Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

    Python★ 9.4kApache-2.0GitHub ↗

    Why this match

    topics gpt-oss, inference, llama

  6. huggingface/transformers

    🤗 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.

    Python★ 168.5kApache-2.0GitHub ↗

    Why this match

    topics deepseek, glm, llm

  7. GeeeekExplorer/nano-vllm

    Nano vLLM

    Python★ 16.3kMITGitHub ↗

    Why this match

    topics inference, llm, transformer; license differs: Apache-2.0 → MIT

  8. cocktailpeanut/dalai

    The simplest way to run LLaMA on your local machine

    CSS★ 12.9kGitHub ↗

    Why this match

    topics llama, llm; language differs: Python → CSS