Models & Labs
vLLM v0.24.0 Release Enhances Model Support
vLLM Releaseshigh confidence
Why it matters
- →The release supports new models, expanding vLLM's capabilities.
- →Performance optimizations improve model efficiency and throughput.
- →Enhanced Model Runner V2 increases flexibility for developers.
vLLM has released version 0.24.0, featuring contributions from 256 developers. This update introduces support for new models such as MiniMax-M3 and DiffusionGemma, alongside performance enhancements for existing models like DeepSeek-V4. The release also includes improvements to the Model Runner V2, which now supports quantized models by default. These updates aim to enhance model deployment and performance, making vLLM a more versatile tool for developers.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1vLLM v0.22.0 Release Enhances Model Performance
vLLM Releases · May 31, 2026 · Same story
- 2Llama.cpp b9840 Release Enhances DeepSeek V4
llama.cpp Releases · June 30, 2026 · Related
What happened next
- 3vLLM Boosts Transformers Backend for Native-Speed Inference
Hugging Face Blog · July 8, 2026 · Related
- 4vLLM v0.29.0 Release
vLLM Releases · September 11, 2026 · Same story
- 5Liquid AI releases DSpark drafter for vision models
Hugging Face Blog · September 24, 2026 · Related
- 6llama.cpp deepseekv4.1 follow-up fixes
llama.cpp Releases · October 26, 2026 · Related
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