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chore(deps): bump the uv group across 28 directories with 1 update#192

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chore(deps): bump the uv group across 28 directories with 1 update#192
dependabot[bot] wants to merge 1 commit into
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dependabot/uv/uv-3e7b40752f

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@dependabot dependabot Bot commented on behalf of github Jan 21, 2026

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Bumps the uv group with 1 update in the / directory: vllm.
Bumps the uv group with 1 update in the /qwen3-next-80b-a3b directory: vllm.
Bumps the uv group with 1 update in the /qwen3-coder-408b-a35b directory: vllm.
Bumps the uv group with 1 update in the /qwen3-8b directory: vllm.
Bumps the uv group with 1 update in the /qwen3-30b-a3b directory: vllm.
Bumps the uv group with 1 update in the /qwen3-235b-a22b directory: vllm.
Bumps the uv group with 1 update in the /phi4-14b directory: vllm.
Bumps the uv group with 1 update in the /phi4-14b-reasoning directory: vllm.
Bumps the uv group with 1 update in the /phi4-14b-reasoning-plus directory: vllm.
Bumps the uv group with 1 update in the /llama4-17b-maverick-instruct directory: vllm.
Bumps the uv group with 1 update in the /llama4-17b-scout-instruct directory: vllm.
Bumps the uv group with 1 update in the /llama3.3-70b-instruct directory: vllm.
Bumps the uv group with 1 update in the /llama3.2-3b-instruct directory: vllm.
Bumps the uv group with 1 update in the /llama3.1-8b-kv-offloading directory: vllm.
Bumps the uv group with 1 update in the /jamba1.6-mini directory: vllm.
Bumps the uv group with 1 update in the /llama3.1-8b-instruct directory: vllm.
Bumps the uv group with 1 update in the /jamba1.6-large directory: vllm.
Bumps the uv group with 1 update in the /gpt-oss-20b directory: vllm.
Bumps the uv group with 1 update in the /gpt-oss-120b directory: vllm.
Bumps the uv group with 1 update in the /gemma3-4b-instruct directory: vllm.
Bumps the uv group with 1 update in the /deepseek-v3.1-671b directory: vllm.
Bumps the uv group with 1 update in the /deepseek-v3-671b directory: vllm.
Bumps the uv group with 1 update in the /deepseek-r1-llama3.3-70b directory: vllm.
Bumps the uv group with 1 update in the /deepseek-r1-671b directory: vllm.
Bumps the uv group with 1 update in the /deepseek-r1-0528-qwen3-8b directory: vllm.
Bumps the uv group with 1 update in the /deepseek-prover-v2-671b directory: vllm.
Bumps the uv group with 1 update in the /deepseek-v2-lite-pd directory: vllm.
Bumps the uv group with 1 update in the /qwen3-30b-a3b-instruct-pd directory: vllm.

Updates vllm from 0.11.0 to 0.14.0

Release notes

Sourced from vllm's releases.

v0.14.0

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 --no-async-scheduling.
    • Excludes some not-yet-supported configurations: pipeline parallel, CPU backend, non-MTP/Eagle spec decoding.
  • PyTorch 2.9.1 is now required and the default wheel is compiled against cu129.
  • Deprecated quantization schemes have been removed (#31688, #31285).
  • When using speculative decoding, unsupported sampling parameters will fail rather than being silently ignored (#31982).

Key Improvements:

  • Async scheduling enabled by default (#27614): Overlaps engine core scheduling with GPU execution, improving throughput without user configuration. Now also works with speculative decoding (#31998) and structured outputs (#29821).
  • gRPC server entrypoint (#30190): Alternative to REST API with binary protocol, HTTP/2 multiplexing.
  • --max-model-len auto (#29431): Automatically fits context length to available GPU memory, eliminating OOM startup failures.
  • Model inspection view (#29450): View the modules, attention backends, and quantization of your model in vLLM by specifying VLLM_LOG_MODEL_INSPECTION=1 or by simply printing the LLM object.
  • Model Runner V2 enhancements: UVA block tables (#31965), M-RoPE (#32143), logit_bias/allowed_token_ids/min_tokens support (#32163).
    • Please note that Model Runner V2 is still experimental and disabled by default.

Model Support

New Model Architectures:

LoRA Support Expansion:

Model Enhancements:

  • Qwen3-VL as reranker (#31890)
  • DeepSeek v3.2 chat prefix completion (#31147)
  • GLM-4.5/GLM-4.7 enable_thinking: false (#31788)
  • Ernie4.5-VL video timestamps (#31274)
  • Score template expansion (#31335)
  • LLaMa4 vision encoder compilation (#30709)
  • NemotronH quantized attention (#31898)

Engine Core

... (truncated)

Commits
  • b17039b [CI] Implement uploading to PyPI and GitHub in the release pipeline, enable r...
  • 48b67ba [Frontend] Standardize use of create_error_response (#32319)
  • 09f4264 [Bugfix] Fix ROCm dockerfiles (#32447)
  • 7f42dc2 [CI] Fix LM Eval Large Models (H100) (#32423)
  • c2a37a3 Cherry pick [ROCm] [CI] [Release] Rocm wheel pipeline with sccache #32264
  • 0e31fc7 [UX] Use kv_offloading_backend=native by default (#32421)
  • 6ac0fcf [ROCm][Bugfix] Disable hip sampler to fix deepseek's accuracy issue on ROCm (...
  • b622497 [ROCM] Add ROCm image build to release pipeline (#31995)
  • 1b57275 [Bugfix][ROCm][performance] Resolve the performance regression issue of the Q...
  • 2c24bc6 [BugFix] [KVConnector] Fix KV events for LMCache connector (#32169)
  • Additional commits viewable in compare view

Updates vllm from 0.13.0 to 0.14.0

Release notes

Sourced from vllm's releases.

v0.14.0

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 --no-async-scheduling.
    • Excludes some not-yet-supported configurations: pipeline parallel, CPU backend, non-MTP/Eagle spec decoding.
  • PyTorch 2.9.1 is now required and the default wheel is compiled against cu129.
  • Deprecated quantization schemes have been removed (#31688, #31285).
  • When using speculative decoding, unsupported sampling parameters will fail rather than being silently ignored (#31982).

Key Improvements:

  • Async scheduling enabled by default (#27614): Overlaps engine core scheduling with GPU execution, improving throughput without user configuration. Now also works with speculative decoding (#31998) and structured outputs (#29821).
  • gRPC server entrypoint (#30190): Alternative to REST API with binary protocol, HTTP/2 multiplexing.
  • --max-model-len auto (#29431): Automatically fits context length to available GPU memory, eliminating OOM startup failures.
  • Model inspection view (#29450): View the modules, attention backends, and quantization of your model in vLLM by specifying VLLM_LOG_MODEL_INSPECTION=1 or by simply printing the LLM object.
  • Model Runner V2 enhancements: UVA block tables (#31965), M-RoPE (#32143), logit_bias/allowed_token_ids/min_tokens support (#32163).
    • Please note that Model Runner V2 is still experimental and disabled by default.

Model Support

New Model Architectures:

LoRA Support Expansion:

Model Enhancements:

  • Qwen3-VL as reranker (#31890)
  • DeepSeek v3.2 chat prefix completion (#31147)
  • GLM-4.5/GLM-4.7 enable_thinking: false (#31788)
  • Ernie4.5-VL video timestamps (#31274)
  • Score template expansion (#31335)
  • LLaMa4 vision encoder compilation (#30709)
  • NemotronH quantized attention (#31898)

Engine Core

... (truncated)

Commits
  • b17039b [CI] Implement uploading to PyPI and GitHub in the release pipeline, enable r...
  • 48b67ba [Frontend] Standardize use of create_error_response (#32319)
  • 09f4264 [Bugfix] Fix ROCm dockerfiles (#32447)
  • 7f42dc2 [CI] Fix LM Eval Large Models (H100) (#32423)
  • c2a37a3 Cherry pick [ROCm] [CI] [Release] Rocm wheel pipeline with sccache #32264
  • 0e31fc7 [UX] Use kv_offloading_backend=native by default (#32421)
  • 6ac0fcf [ROCm][Bugfix] Disable hip sampler to fix deepseek's accuracy issue on ROCm (...
  • b622497 [ROCM] Add ROCm image build to release pipeline (#31995)
  • 1b57275 [Bugfix][ROCm][performance] Resolve the performance regression issue of the Q...
  • 2c24bc6 [BugFix] [KVConnector] Fix KV events for LMCache connector (#32169)
  • Additional commits viewable in compare view

Updates vllm from 0.13.0 to 0.14.0

Release notes

Sourced from vllm's releases.

v0.14.0

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 --no-async-scheduling.
    • Excludes some not-yet-supported configurations: pipeline parallel, CPU backend, non-MTP/Eagle spec decoding.
  • PyTorch 2.9.1 is now required and the default wheel is compiled against cu129.
  • Deprecated quantization schemes have been removed (#31688, #31285).
  • When using speculative decoding, unsupported sampling parameters will fail rather than being silently ignored (#31982).

Key Improvements:

  • Async scheduling enabled by default (#27614): Overlaps engine core scheduling with GPU execution, improving throughput without user configuration. Now also works with speculative decoding (#31998) and structured outputs (#29821).
  • gRPC server entrypoint (#30190): Alternative to REST API with binary protocol, HTTP/2 multiplexing.
  • --max-model-len auto (#29431): Automatically fits context length to available GPU memory, eliminating OOM startup failures.
  • Model inspection view (#29450): View the modules, attention backends, and quantization of your model in vLLM by specifying VLLM_LOG_MODEL_INSPECTION=1 or by simply printing the LLM object.
  • Model Runner V2 enhancements: UVA block tables (#31965), M-RoPE (#32143), logit_bias/allowed_token_ids/min_tokens support (#32163).
    • Please note that Model Runner V2 is still experimental and disabled by default.

Model Support

New Model Architectures:

LoRA Support Expansion:

Model Enhancements:

  • Qwen3-VL as reranker (#31890)
  • DeepSeek v3.2 chat prefix completion (#31147)
  • GLM-4.5/GLM-4.7 enable_thinking: false (#31788)
  • Ernie4.5-VL video timestamps (#31274)
  • Score template expansion (#31335)
  • LLaMa4 vision encoder compilation (#30709)
  • NemotronH quantized attention (#31898)

Engine Core

... (truncated)

Commits
  • b17039b [CI] Implement uploading to PyPI and GitHub in the release pipeline, enable r...
  • 48b67ba [Frontend] Standardize use of create_error_response (#32319)
  • 09f4264 [Bugfix] Fix ROCm dockerfiles (#32447)
  • 7f42dc2 [CI] Fix LM Eval Large Models (H100) (#32423)
  • c2a37a3 Cherry pick [ROCm] [CI] [Release] Rocm wheel pipeline with sccache #32264
  • 0e31fc7 [UX] Use kv_offloading_backend=native by default (#32421)
  • 6ac0fcf [ROCm][Bugfix] Disable hip sampler to fix deepseek's accuracy issue on ROCm (...
  • b622497 [ROCM] Add ROCm image build to release pipeline (#31995)
  • 1b57275 [Bugfix][ROCm][performance] Resolve the performance regression issue of the Q...
  • 2c24bc6 [BugFix] [KVConnector] Fix KV events for LMCache connector (#32169)
  • Additional commits viewable in compare view

Updates vllm from 0.13.0 to 0.14.0

Release notes

Sourced from vllm's releases.

v0.14.0

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 --no-async-scheduling.
    • Excludes some not-yet-supported configurations: pipeline parallel, CPU backend, non-MTP/Eagle spec decoding.
  • PyTorch 2.9.1 is now required and the default wheel is compiled against cu129.
  • Deprecated quantization schemes have been removed (#31688, #31285).
  • When using speculative decoding, unsupported sampling parameters will fail rather than being silently ignored (#31982).

Key Improvements:

  • Async scheduling enabled by default (#27614): Overlaps engine core scheduling with GPU execution, improving throughput without user configuration. Now also works with speculative decoding (#31998) and structured outputs (#29821).
  • gRPC server entrypoint (#30190): Alternative to REST API with binary protocol, HTTP/2 multiplexing.
  • --max-model-len auto (#29431): Automatically fits context length to available GPU memory, eliminating OOM startup failures.
  • Model inspection view (#29450): View the modules, attention backends, and quantization of your model in vLLM by specifying VLLM_LOG_MODEL_INSPECTION=1 or by simply printing the LLM object.
  • Model Runner V2 enhancements: UVA block tables (#31965), M-RoPE (#32143), logit_bias/allowed_token_ids/min_tokens support (#32163).
    • Please note that Model Runner V2 is still experimental and disabled by default.

Model Support

New Model Architectures:

LoRA Support Expansion:

Model Enhancements:

  • Qwen3-VL as reranker (#31890)
  • DeepSeek v3.2 chat prefix completion (#31147)
  • GLM-4.5/GLM-4.7 enable_thinking: false (#31788)
  • Ernie4.5-VL video timestamps (#31274)
  • Score template expansion (#31335)
  • LLaMa4 vision encoder compilation (#30709)
  • NemotronH quantized attention (#31898)

Engine Core

... (truncated)

Commits
  • b17039b [CI] Implement uploading to PyPI and GitHub in the release pipeline, enable r...
  • 48b67ba [Frontend] Standardize use of create_error_response (#32319)
  • 09f4264 [Bugfix] Fix ROCm dockerfiles (#32447)
  • 7f42dc2 [CI] Fix LM Eval Large Models (H100) (#32423)
  • c2a37a3 Cherry pick [ROCm] [CI] [Release] Rocm wheel pipeline with sccache #32264
  • 0e31fc7 [UX] Use kv_offloading_backend=native by default (#32421)
  • 6ac0fcf [ROCm][Bugfix] Disable hip sampler to fix deepseek's accuracy issue on ROCm (...
  • b622497 [ROCM] Add ROCm image build to release pipeline (#31995)
  • 1b57275 [Bugfix][ROCm][performance] Resolve the performance regression issue of the Q...
  • 2c24bc6 [BugFix] [KVConnector] Fix KV events for LMCache connector (#32169)
  • Additional commits viewable in compare view

Updates vllm from 0.13.0 to 0.14.0

Release notes

Sourced from vllm's releases.

v0.14.0

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 --no-async-scheduling.
    • Excludes some not-yet-supported configurations: pipeline parallel, CPU backend, non-MTP/Eagle spec decoding.
  • PyTorch 2.9.1 is now required and the default wheel is compiled against cu129.
  • Deprecated quantization schemes have been removed (#31688, #31285).
  • When using speculative decoding, unsupported sampling parameters will fail rather than being silently ignored (#31982).

Key Improvements:

  • Async scheduling enabled by default (#27614): Overlaps engine core scheduling with GPU execution, improving throughput without user configuration. Now also works with speculative decoding (#31998) and structured outputs (#29821).
  • gRPC server entrypoint (#30190): Alternative to REST API with binary protocol, HTTP/2 multiplexing.
  • --max-model-len auto (#29431): Automatically fits context length to available GPU memory, eliminating OOM startup failures.
  • Model inspection view (#29450): View the modules, attention backends, and quantization of your model in vLLM by specifying VLLM_LOG_MODEL_INSPECTION=1 or by simply printing the LLM object.
  • Model Runner V2 enhancements: UVA block tables (#31965), M-RoPE (#32143), logit_bias/allowed_token_ids/min_tokens support (#32163).
    • Please note that Model Runner V2 is still experimental and disabled by default.

Model Support

New Model Architectures:

LoRA Support Expansion:

Model Enhancements:

  • Qwen3-VL as reranker (#31890)
  • DeepSeek v3.2 chat prefix completion (#31147)
  • GLM-4.5/GLM-4.7 enable_thinking: false (#31788)
  • Ernie4.5-VL video timestamps (#31274)
  • Score template expansion (#31335)
  • LLaMa4 vision encoder compilation (#30709)
  • NemotronH quantized attention (#31898)

Engine Core

... (truncated)

Commits
  • b17039b [CI] Implement uploading to PyPI and GitHub in the release pipeline, enable r...
  • 48b67ba [Frontend] Standardize use of create_error_response (#32319)
  • 09f4264 [Bugfix] Fix ROCm dockerfiles (#32447)
  • 7f42dc2 [CI] Fix LM Eval Large Models (H100) (#32423)
  • c2a37a3 Cherry pick [ROCm] [CI] [Release] Rocm wheel pipeline with sccache #32264
  • 0e31fc7 [UX] Use kv_offloading_backend=native by default (#32421)
  • 6ac0fcf [ROCm][Bugfix] Disable hip sampler to fix deepseek's accuracy issue on ROCm (...
  • b622497 [ROCM] Add ROCm image build to release pipeline (#31995)
  • 1b57275 [Bugfix][ROCm][performance] Resolve the performance regression issue of the Q...
  • 2c24bc6 [BugFix] [KVConnector] Fix KV events for LMCache connector (#32169)
  • Additional commits viewable in compare view

Updates vllm from 0.13.0 to 0.14.0

Release notes

Sourced from vllm's releases.

v0.14.0

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 --no-async-scheduling.
    • Excludes some not-yet-supported configurations: pipeline parallel, CPU backend, non-MTP/Eagle spec decoding.
  • PyTorch 2.9.1 is now required and the default wheel is compiled against cu129.
  • Deprecated quantization schemes have been removed (#31688, #31285).
  • When using speculative decoding, unsupported sampling parameters will fail rather than being silently ignored (#31982).

Key Improvements:

  • Async scheduling enabled by default (#27614): Overlaps engine core scheduling with GPU execution, improving throughput without user configuration. Now also works with speculative decoding (#31998) and structured outputs (#29821).
  • gRPC server entrypoint (#30190): Alternative to REST API with binary protocol, HTTP/2 multiplexing.
  • --max-model-len auto (#29431): Automatically fits context length to available GPU memory, eliminating OOM startup failures.
  • Model inspection view (#29450): View the modules, attention backends, and quantization of your model in vLLM by specifying VLLM_LOG_MODEL_INSPECTION=1 or by simply printing the LLM object.
  • Model Runner V2 enhancements: UVA block tables (#31965), M-RoPE (#32143), logit_bias/allowed_token_ids/min_tokens support (#32163).
    • Please note that Model Runner V2 is still experimental and disabled by default.

Model Support

New Model Architectures:

LoRA Support Expansion:

Model Enhancements:

  • Qwen3-VL as reranker (#31890)
  • DeepSeek v3.2 chat prefix completion (#31147)
  • GLM-4.5/GLM-4.7 enable_thinking: false (#31788)
  • Ernie4.5-VL video timestamps (#31274)
  • Score template expansion (#31335)
  • LLaMa4 vision encoder compilation (#30709)
  • NemotronH quantized attention (#31898)

Engine Core

... (truncated)

Commits
  • b17039b [CI] Implement uploading to PyPI and GitHub in the release pipeline, enable r...
  • 48b67ba [Frontend] Standardize use of create_error_response (#32319)
  • 09f4264 [Bugfix] Fix ROCm dockerfiles (#32447)
  • 7f42dc2 [CI] Fix LM Eval Large Models (H100) (#32423)
  • c2a37a3 Cherry pick [ROCm] [CI] [Release] Rocm wheel pipeline with sccache #32264
  • 0e31fc7 [UX] Use kv_offloading_backend=native by default (#32421)
  • 6ac0fcf [ROCm][Bugfix] Disable hip sampler to fix deepseek's accuracy issue on ROCm (...
  • b622497 [ROCM] Add ROCm image build to release pipeline (#31995)
  • 1b57275 [Bugfix][ROCm][performance] Resolve the performance regression issue of the Q...
  • 2c24bc6 [BugFix] [KVConnector] Fix KV events for LMCache connector (#32169)
  • Additional commits viewable in compare view

Updates vllm from 0.13.0 to 0.14.0

Release notes

Sourced from vllm's releases.

v0.14.0

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 --no-async-scheduling.
    • Excludes some not-yet-supported configurations: pipeline parallel, CPU backend, non-MTP/Eagle spec decoding.
  • PyTorch 2.9.1 is now required and the default wheel is compiled against cu129.
  • Deprecated quantization schemes have been removed (#31688, #31285).
  • When using speculative decoding, unsupported sampling parameters will fail rather than being silently ignored (#31982).

Key Improvements:

  • Async scheduling enabled by default (#27614): Overlaps engine core scheduling with GPU execution, improving throughput without user configuration. Now also works with speculative decoding (#31998) and structured outputs (#29821).
  • gRPC server entrypoint (#30190): Alternative to REST API with binary protocol, HTTP/2 multiplexing.
  • --max-model-len auto (#29431): Automatically fits context length to available GPU memory, eliminating OOM startup failures.
  • Model inspection view (#29450): View the modules, attention backends, and quantization of your model in vLLM by specifying VLLM_LOG_MODEL_INSPECTION=1 or by simply printing the LLM object.
  • Model Runner V2 enhancements: UVA block tables (#31965), M-RoPE (#32143), logit_bias/allowed_token_ids/min_tokens support (#32163).
    • Please note that Model Runner V2 is still experimental and disabled by default.

Model Support

New Model Architectures:

LoRA Support Expansion:

Model Enhancements:

  • Qwen3-VL as reranker (#31890)
  • DeepSeek v3.2 chat prefix completion (#31147)
  • GLM-4.5/GLM-4.7 enable_thinking: false (#31788)
  • Ernie4.5-VL video timestamps (#31274)
  • Score template expansion (#31335)
  • LLaMa4 vision encoder compilation (

Bumps the uv group with 1 update in the / directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /qwen3-next-80b-a3b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /qwen3-coder-408b-a35b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /qwen3-8b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /qwen3-30b-a3b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /qwen3-235b-a22b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /phi4-14b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /phi4-14b-reasoning directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /phi4-14b-reasoning-plus directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /llama4-17b-maverick-instruct directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /llama4-17b-scout-instruct directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /llama3.3-70b-instruct directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /llama3.2-3b-instruct directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /llama3.1-8b-kv-offloading directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /jamba1.6-mini directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /llama3.1-8b-instruct directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /jamba1.6-large directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /gpt-oss-20b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /gpt-oss-120b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /gemma3-4b-instruct directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /deepseek-v3.1-671b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /deepseek-v3-671b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /deepseek-r1-llama3.3-70b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /deepseek-r1-671b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /deepseek-r1-0528-qwen3-8b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /deepseek-prover-v2-671b directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /deepseek-v2-lite-pd directory: [vllm](https://github.com/vllm-project/vllm).
Bumps the uv group with 1 update in the /qwen3-30b-a3b-instruct-pd directory: [vllm](https://github.com/vllm-project/vllm).


Updates `vllm` from 0.11.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.13.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.11.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

Updates `vllm` from 0.11.0 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.11.0...v0.14.0)

---
updated-dependencies:
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: uv
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Jan 21, 2026
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