DiffusionGemma

vLLM v0.27.0 introduces Kimi K3 support, new model additions like Qwen3.5 and VaultGemma, and a significant upgrade to PyTorch 2.13.0. The release also enhances performance and features across various areas including FlashAttention 4, Model Runner V2, KV offloading, and hardware enablement.

vLLM v0.25.0 introduces Model Runner V2 as the default for dense models, significantly improving performance and adding support for new features like EVS and realtime embeddings. The release also deprecates PagedAttention and enhances the Transformers backend to match native vLLM speed, alongside numerous model additions and performance optimizations across various hardware platforms.

v0.24.0 introduces extensive support and performance optimizations for new models like MiniMax-M3 and DeepSeek-V4, matures the Model Runner V2 with default quantization support, and overhauls device selection by removing internal use of CUDA_VISIBLE_DEVICES.

This release introduces significant enhancements to Unsloth Studio, including 3x longer context lengths, support for GLM 5.2 GGUFs, and new parallel operational capabilities. Key new features focus on chat experience (forking, queueing) and secure cloud access via Cloudflare.

This release introduces GLM-5.2 support and a new context length algorithm achieving 3x longer contexts in Unsloth Studio. It also brings significant UI/UX improvements to the Chat Canvas, a redesigned Hub, enhanced security features like `--secure` mode, and better backend stability and hardware support.

This release introduces major features including DiffusionGemma support, Gemma 4 MTP acceleration, experimental Hub and Chat with Files capabilities, and significant backend updates to llama.cpp and hardware support. Users are strongly advised to update using the provided installation scripts rather than the 'studio update' command.

This release introduces major features including DiffusionGemma support, Gemma 4 MTP acceleration, experimental Hub and RAG capabilities, and updates the underlying llama.cpp backend for improved hardware compatibility and performance. Users must update via the provided installation scripts to receive the latest changes.

This release introduces major support for DiffusionGemma and faster Gemma 4 via MTP, alongside significant experimental features like a Model Hub and Chat with Files (RAG) in Unsloth Studio. It also updates the underlying llama.cpp backend for improved hardware compatibility and stability.

DiffusionGemma now defaults to using the artifacts canvas for richer HTML rendering and has disabled tool support to align with its visual runner capabilities.

This release introduces two major new models, DiffusionGemma and DeepSeek-V3.2, alongside significant enhancements to the custom kernel API for better fusion capabilities. Numerous bug fixes address issues across various models, CI stability, and dependency compatibility.