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Gemma 4 was launched by Google under an Apache 2.0 license, marking a significant open-model release focused on reasoning, agentic workflows, multimodality, and on-device use. It outperforms models 10x larger and has…
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What this is
vLLM is an open-source, high-throughput inference and serving engine for LLMs. shipfeed tracks vLLM releases, new model support, and serving and performance features.
Gemma 4 was launched by Google under an Apache 2.0 license, marking a significant open-model release focused on reasoning, agentic workflows, multimodality, and on-device use. It outperforms models 10x larger and has…
Highlights This release features 459 commits from 230 contributors (63 new)! DeepSeek V4 maturity: DeepSeek V4 received a major hardening pass this cycle — the model was reorganized into a dedicated…
vLLM v0.20.0 Highlights This release features 752 commits from 320 contributors (123 new)! DeepSeek V4: Initial DeepSeek V4 support landed (#40860), with DSML token-leakage fix in DSV4/3.2 (#40806), DSA + MTP IMA fix…
Moonshot's Kimi K2.6 is a major open-weight 1T-parameter MoE model featuring 32B active parameters, 384 experts, MLA attention, 256K context window, native multimodality, and INT4 quantization. It supports day-0…
vLLM v0.19.0 Highlights This release features 448 commits from 197 contributors (54 new)! Gemma 4 support: Full Google Gemma 4 architecture support including MoE, multimodal, reasoning, and tool-use capabilities…
vLLM v0.16.0 Please note that this release was branch cut on Feb 8, so any features added to vLLM after that date is not included. Highlights This release features 440 commits from 203 contributors (7 new)! Async…
Highlights This release features approximately 660 commits from 251 contributors (86 new contributors). Breaking Changes: Async scheduling is now enabled by default - Users who experience issues can disable with…
Nimbus builds production AI systems — internal tools, customer agents, retrieval pipelines — combining humans and AI end-to-end. From scoped pilot to production in 4–8 weeks.
vLLM v0.12.0 Release Notes Highlights Highlights This release features 474 commits from 213 contributors (57 new)! Breaking Changes: This release includes PyTorch 2.9.0 upgrade (CUDA 12.9), V0 deprecations including…
Highlights This release includes 1456 commits from 449 contributors (184 new contributors)! Key changes include: PyTorch 2.9.0 + CUDA 12.9.1: Updated the default CUDA build to `torch==2.9.0+cu129`, enabling Inductor…
vLLM v0.23.0 Release Notes Please note that Minimax M3 is not yet supported in this version. Please follow vLLM recipe for usage guides for M3. Highlights This release features 408 commits from 200 contributors (63…
vLLM v0.20.1 This is a patch release on top of `v0.20.0` primarily focused on DeepSeek V4 stabilization and performance improvements, along with several important bug fixes. DeepSeek V4 Base model support (#41006)…
vLLM v0.18.0 Known issues Degraded accuracy when serving Qwen3.5 with FP8 KV cache on B200 (#37618) If you previously ran into `CUBLAS_STATUS_INVALID_VALUE` and had to use a workaround in `v0.17.0`, you can reinstall…
vLLM v0.17.0 Known Issue: If you are on CUDA 12.9+ and encounter a `CUBLAS_STATUS_INVALID_VALUE` error, this is caused by a CUDA library mismatch. To resolve, try one of the following: 1. Remove the path to system CUDA…
Highlights This release features 335 commits from 158 contributors (39 new)! Model Support New architectures: Kimi-K2.5 (#33131), Molmo2 (#30997), Step3vl 10B (#32329), Step1 (#32511), GLM-Lite (#31386), Eagle2.5-8B…
vLLM v0.13.0 Release Notes Highlights Highlights This release features 442 commits from 207 contributors (61 new contributors)! Breaking Changes: This release includes deprecation removals, PassConfig flag renames, and…
Highlights This release contains 740 commits from 266 contributors (97 new)! Breaking Changes: This release includes PyTorch 2.8.0 upgrade, V0 deprecations, and API changes - please review the changelog carefully…
Highlights This release features 8 commits from 6 contributors (1 new)! v0.22.1 is a patch release on top of v0.22.0 with targeted bug fixes plus a couple of additions: new model support for JetBrains' Mellum v2…
server, webui: accept continue_final_message flag for vLLM API compat (#23012) server, webui: accept continue_final_message flag for vLLM API compat Add the continue_final_message body flag from the vLLM and…
vLLM v0.20.0 introduces significant improvements in memory and MoE serving efficiency, including TurboQuant 2-bit KV cache for 4× KV capacity and a 2.1% latency improvement. The update supports multiple hardware…
This is a patch release on top of `v0.19.0` with Transformers v5.5.3 upgrade and bug fixes for Gemma4: Update to transformers v5 (#30566) [Bugfix] Fix invalid JSON in Gemma 4 streaming tool calls by stripping partial…
v0.15.1 is a patch release with security fixes, RTX Blackwell GPU fixes support, and bug fixes. Security CVE-2025-69223: Updated aiohttp dependency (#33621) CVE-2026-0994: Updated Protobuf dependency (#33619)…
This is a critical bugfix and security release: Fix CUTLASS MLA Full CUDAGraph (#23200) Limit HTTP header count and size (#23267): https://github.com/vllm-project/vllm/security/advisories/GHSA-rxc4-3w6r-4v47 Do not use…
Nimbus builds production AI systems — internal tools, customer agents, retrieval pipelines — combining humans and AI end-to-end. From scoped pilot to production in 4–8 weeks.