Moe Python Packages

sglang

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

vllm

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

flashinfer-python

FlashInfer: Kernel Library for LLM Serving

flashinfer-cubin

FlashInfer: Kernel Library for LLM Serving

sglang-kernel

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

sgl-kernel

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

ms-swift

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-R1, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).

vllm-tpu

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

llamafactory

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

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.

sglang-kt

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

awex

A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows

terradev-cli

Cross-Cloud Compute Optimization Platform with Migration & Evaluation - v4.0.12

abliterix

Automated alignment adjustment for LLMs — direct steering, LoRA, and MoE expert-granular abliteration, optimized via multi-objective Optuna TPE.

llmtuner

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

uccl

UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)

mlx-flash

Run AI models too large for your Mac's memory — expert caching, speculative execution, and 15+ research techniques for MoE inference on Apple Silicon

switch-transformers

Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity"

plato-edge

Edge-optimized Cocapn fleet packages for ARM64 — pure Python, zero deps, <100KB

dblcsgen

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

lazyllm-llamafactory

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

vllm-xft

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

vllm-acc

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

vllm-hust

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