โ ๏ธ Breaking Change
Impact Score: 7/10
vLLM v0.1.4
Source available โ automated, not human-reviewed
Component: vllm ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.
Analysis updated: 2026-11-01.
Breaking-change evidence from the source
Fix for breaking changes in xformers 0.0.21 by @WoosukKwon in https://github.com/vllm-project/vllm/pull/834
โก Executive Summary (TL;DR)
vLLM v0.1.4. Source highlight: From now on, vLLM is published with pre-built CUDA binaries. Users don't have to compile the vLLM's CUDA kernels on their machine.
Who Does This Impact? (Role-Based Analysis)
๐ป Software Engineers & Devs
Check the source notes against the package and APIs you use before upgrading.
๐ Product & Engineering Leads
Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.
โ๏ธ DevOps & Security
Verify the target version, runtime requirements and rollback procedure in the official documentation.
โ ๏ธ Breaking Changes & Deprecations (1)
- Fix for breaking changes in xformers 0.0.21 by @WoosukKwon in https://github.com/vllm-project/vllm/pull/834
โจ New Features & Capabilities (5)
- add QWen-7b support
- add internlm model
- [Feature | CI] Added a github action to build wheels
- Add support for aquila
- Add compute capability 8.9 to default targets
๐ง Bug Fixes & Patches (6)
- Fix gibberish outputs of GPT-BigCode-based models
- [Fix] unwantted bias in InternLM Model
- Fix baichuan doc style
- Fix typo in tokenizer.py
- Fix typo in sampling_params.py
- Fix mqa is false case in gpt_bigcode
๐ View Raw Release Notes (Original Developer Log)
## Major changes
* From now on, vLLM is published with pre-built CUDA binaries. Users don't have to compile the vLLM's CUDA kernels on their machine.
* New models: InternLM, Qwen, Aquila.
* Optimizing CUDA kernels for paged attention and GELU.
* Many bug fixes.
## What's Changed
* Fix gibberish outputs of GPT-BigCode-based models by @HermitSun in https://github.com/vllm-project/vllm/pull/676
* [OPTIMIZATION] Optimizes the single_query_cached_kv_attention kernel by @naed90 in https://github.com/vllm-project/vllm/pull/420
* add QWen-7b support by @Sanster in https://github.com/vllm-project/vllm/pull/685
* add internlm model by @gqjia in https://github.com/vllm-project/vllm/pull/528
* Check the max prompt length for the OpenAI completions API by @nicobasile in https://github.com/vllm-project/vllm/pull/472
* [Fix] unwantted bias in InternLM Model by @wangruohui in https://github.com/vllm-project/vllm/pull/740
* Supports tokens and arrays of tokens as inputs to the OpenAI completion API by @wanmok in https://github.com/vllm-project/vllm/pull/715
* Fix baichuan doc style by @UranusSeven in https://github.com/vllm-project/vllm/pull/748
* Fix typo in tokenizer.py by @eltociear in https://github.com/vllm-project/vllm/pull/750
* Align with huggingface Top K sampling by @Abraham-Xu in https://github.com/vllm-project/vllm/pull/753
* explicitly del state by @cauyxy in https://github.com/vllm-project/vllm/pull/784
* Fix typo in sampling_params.py by @wangcx18 in https://github.com/vllm-project/vllm/pull/788
* [Feature | CI] Added a github action to build wheels by @Danielkinz in https://github.com/vllm-project/vllm/pull/746
* set default coompute capability according to cuda version by @zxdvd in https://github.com/vllm-project/vllm/pull/773
* Fix mqa is false case in gpt_bigcode by @zhaoyang-star in https://github.com/vllm-project/vllm/pull/806
* Add support for aquila by @shunxing1234 in https://github.com/vllm-project/vllm/pull/663
* Update Supported Model List by @zhuohan123 in https://github.com/vllm-project/vllm/pull/825
* Fix 'GPTBigCodeForCausalLM' object has no attribute 'tensor_model_parallel_world_size' by @HermitSun in https://github.com/vllm-project/vllm/pull/827
* Add compute capability 8.9 to default targets by @WoosukKwon in https://github.com/vllm-project/vllm/pull/829
* Implement approximate GELU kernels by @WoosukKwon in https://github.com/vllm-project/vllm/pull/828
* Fix typo of Aquila in README.md by @ftgreat in https://github.com/vllm-project/vllm/pull/836
* Fix for breaking changes in xformers 0.0.21 by @WoosukKwon in https://github.com/vllm-project/vllm/pull/834
* Clean up code by @wenjun93 in https://github.com/vllm-project/vllm/pull/844
* Set replacement=True in torch.multinomial by @WoosukKwon in https://github.com/vllm-project/vllm/pull/858
* Bump up the version to v0.1.4 by @WoosukKwon in https://github.com/vllm-project/vllm/pull/846
## New Contributors
* @naed90 made their first contribution in https://github.com/vllm-project/vllm/pull/420
* @gqjia made their first contribution in https://github.com/vllm-project/vllm/pull/528
* @nicobasile made their first contribution in https://github.com/vllm-project/vllm/pull/472
* @wanmok made their first contribution in https://github.com/vllm-project/vllm/pull/715
* @UranusSeven made their first contribution in https://github.com/vllm-project/vllm/pull/748
* @eltociear made their first contribution in https://github.com/vllm-project/vllm/pull/750
* @Abraham-Xu made their first contribution in https://github.com/vllm-project/vllm/pull/753
* @cauyxy made their first contribution in https://github.com/vllm-project/vllm/pull/784
* @wangcx18 made their first contribution in https://github.com/vllm-project/vllm/pull/788
* @Danielkinz made their first contribution in https://github.com/vllm-project/vllm/pull/746
* @zhaoyang-star made their first contribution in https://github.com/vllm-project/vllm/pull/806
* @shunxing1234 made their first contribution in https://github.com/vllm-project/vllm/pull/663
* @ftgreat made their first contribution in https://github.com/vllm-project/vllm/pull/836
* @wenjun93 made their first contribution in https://github.com/vllm-project/vllm/pull/844
**Full Changelog**: https://github.com/vllm-project/vllm/compare/v0.1.3...v0.1.4