1.vllm-project / vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
+17,617 stars
from 78,461 · score 9.78
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2.sgl-project / sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
+11,714 stars
from 26,634 · score 9.37
3.hiyouga / LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
+5,453 stars
from 70,371 · score 8.60
4.modelscope / ms-swift
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).
+2,109 stars
from 13,899 · score 7.65
5.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.
+1,547 stars
from 13,440 · score 7.34