Impact Score: 5/10
vLLM v0.1.3
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.
โก Executive Summary (TL;DR)
vLLM v0.1.3. Source highlight: More model support: LLaMA 2, Falcon, GPT-J, Baichuan, etc.
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.
โจ New Features & Capabilities (6)
- Add trust-remote-code flag to handle remote tokenizers
- Add trust_remote_code arg to get_config
- [Model] Add support for GPT-J
- add vocab padding for LLama(Support WizardLM)
- [Doc] Add doc for running vLLM on the cloud
- Add support for baichuan
๐ง Bug Fixes & Patches (6)
- fix: only response [DONE] once when streaming response.
- [Fix] Change /generate response-type to json for non-streaming
- [Fix] Sort LLM outputs by request ID before return
- fix: freeze pydantic to v1
- Fix handling of special tokens in decoding.
- Fix the `KeyError` when loading bloom-based models
๐ View Raw Release Notes (Original Developer Log)
## What's Changed
### Major changes
* More model support: LLaMA 2, Falcon, GPT-J, Baichuan, etc.
* Efficient support for MQA and GQA.
* Changes in the scheduling algorithm: vLLM now uses a TGI-style continuous batching.
* And many bug fixes.
### All changes
* fix: only response [DONE] once when streaming response. by @gesanqiu in https://github.com/vllm-project/vllm/pull/378
* [Fix] Change /generate response-type to json for non-streaming by @nicolasf in https://github.com/vllm-project/vllm/pull/374
* Add trust-remote-code flag to handle remote tokenizers by @codethazine in https://github.com/vllm-project/vllm/pull/364
* avoid python list copy in sequence initialization by @LiuXiaoxuanPKU in https://github.com/vllm-project/vllm/pull/401
* [Fix] Sort LLM outputs by request ID before return by @WoosukKwon in https://github.com/vllm-project/vllm/pull/402
* Add trust_remote_code arg to get_config by @WoosukKwon in https://github.com/vllm-project/vllm/pull/405
* Don't try to load training_args.bin by @lpfhs in https://github.com/vllm-project/vllm/pull/373
* [Model] Add support for GPT-J by @AndreSlavescu in https://github.com/vllm-project/vllm/pull/226
* fix: freeze pydantic to v1 by @kemingy in https://github.com/vllm-project/vllm/pull/429
* Fix handling of special tokens in decoding. by @xcnick in https://github.com/vllm-project/vllm/pull/418
* add vocab padding for LLama(Support WizardLM) by @esmeetu in https://github.com/vllm-project/vllm/pull/411
* Fix the `KeyError` when loading bloom-based models by @HermitSun in https://github.com/vllm-project/vllm/pull/441
* Optimize MQA Kernel by @zhuohan123 in https://github.com/vllm-project/vllm/pull/452
* Offload port selection to OS by @zhangir-azerbayev in https://github.com/vllm-project/vllm/pull/467
* [Doc] Add doc for running vLLM on the cloud by @Michaelvll in https://github.com/vllm-project/vllm/pull/426
* [Fix] Fix the condition of max_seq_len by @zhuohan123 in https://github.com/vllm-project/vllm/pull/477
* Add support for baichuan by @codethazine in https://github.com/vllm-project/vllm/pull/365
* fix max seq len by @LiuXiaoxuanPKU in https://github.com/vllm-project/vllm/pull/489
* Fixed old name reference for max_seq_len by @MoeedDar in https://github.com/vllm-project/vllm/pull/498
* hotfix attn alibi wo head mapping by @Oliver-ss in https://github.com/vllm-project/vllm/pull/496
* fix(ray_utils): ignore re-init error by @mspronesti in https://github.com/vllm-project/vllm/pull/465
* Support `trust_remote_code` in benchmark by @wangruohui in https://github.com/vllm-project/vllm/pull/518
* fix: enable trust-remote-code in api server & benchmark. by @gesanqiu in https://github.com/vllm-project/vllm/pull/509
* Ray placement group support by @Yard1 in https://github.com/vllm-project/vllm/pull/397
* Fix bad assert in initialize_cluster if PG already exists by @Yard1 in https://github.com/vllm-project/vllm/pull/526
* Add support for LLaMA-2 by @zhuohan123 in https://github.com/vllm-project/vllm/pull/505
* GPTJConfig has no attribute rotary. by @leegohi04517 in https://github.com/vllm-project/vllm/pull/532
* [Fix] Fix GPTBigcoder for distributed execution by @zhuohan123 in https://github.com/vllm-project/vllm/pull/503
* Fix paged attention testing. by @shanshanpt in https://github.com/vllm-project/vllm/pull/495
* fixed tensor parallel is not defined by @MoeedDar in https://github.com/vllm-project/vllm/pull/564
* Add Baichuan-7B to README by @zhuohan123 in https://github.com/vllm-project/vllm/pull/494
* [Fix] Add chat completion Example and simplify dependencies by @zhuohan123 in https://github.com/vllm-project/vllm/pull/576
* [Fix] Add model sequence length into model config by @zhuohan123 in https://github.com/vllm-project/vllm/pull/575
* [Fix] fix import error of RayWorker (#604) by @zxdvd in https://github.com/vllm-project/vllm/pull/605
* fix ModuleNotFoundError by @mklf in https://github.com/vllm-project/vllm/pull/599
* [Doc] Change old max_seq_len to max_model_len in docs by @SiriusNEO in https://github.com/vllm-project/vllm/pull/622
* fix biachuan-7b tp by @Sanster in https://github.com/vllm-project/vllm/pull/598
* [Model] support baichuan-13b based on baichuan-7b by @Oliver-ss in https://github.com/vllm-project/vllm/pull/643
* Fix log message in scheduler by @LiuXiaoxuanPKU in https://github.com/vllm-project/vllm/pull/652
* Add Falcon support (new) by @zhuohan123 in https://github.com/vllm-project/vllm/pull/592
* [BUG FIX] upgrade fschat version to 0.2.23 by @YHPeter in https://github.com/vllm-project/vllm/pull/650
* Refactor scheduler by @WoosukKwon in https://github.com/vllm-project/vllm/pull/658
* [Doc] Add Baichuan 13B to supported models by @zhuohan123 in https://github.com/vllm-project/vllm/pull/656
* Bump up version to 0.1.3 by @zhuohan123 in https://github.com/vllm-project/vllm/pull/657
## New Contributors
* @nicolasf made their first contribution in https://github.com/vllm-project/vllm/pull/374
* @codethazine made their first contribution in https://github.com/vllm-project/vllm/pull/364
* @lpfhs made their first contribution in https://github.com/vllm-project/vllm/pull/373
* @AndreSlavescu made their first contribution in https://github.com/vllm-project/vllm/pull/226
* @kemingy made their first contribution in https://github.com/vllm-project/vllm/pull/429
* @xcnick made their first contribution in https://github.com/vllm-project/vllm/pull/418
* @esmeetu made their first contribution in https://github.com/vllm-project/vllm/pull/411
* @HermitSun made their first contribution in https://github.com/vllm-project/vllm/pull/441
* @zhangir-azerbayev made their first contribution in https://github.com/vllm-project/vllm/pull/467
* @MoeedDar made their first contribution in https://github.com/vllm-project/vllm/pull/498
* @Oliver-ss made their first contribution in https://github.com/vllm-project/vllm/pull/496
* @mspronesti made their first contribution in https://github.com/vllm-project/vllm/pull/465
* @wangruohui made their first contribution in https://github.com/vllm-project/vllm/pull/518
* @Yard1 made their first contribution in https://github.com/vllm-project/vllm/pull/397
* @leegohi04517 made their first contribution in https://github.com/vllm-project/vllm/pull/532
* @shanshanpt made their first contribution in https://github.com/vllm-project/vllm/pull/495
* @zxdvd made their first contribution in https://github.com/vllm-project/vllm/pull/605
* @mklf made their first contribution in https://github.com/vllm-project/vllm/pull/599
* @SiriusNEO made their first contribution in https://github.com/vllm-project/vllm/pull/622
* @Sanster made their first contribution in https://github.com/vllm-project/vllm/pull/598
* @YHPeter made their first contribution in https://github.com/vllm-project/vllm/pull/650
**Full Changelog**: https://github.com/vllm-project/vllm/compare/v0.1.2...v0.1.3