Bump vllm from 0.8.3 to 0.14.0 in /3_distributed_training/reinforcement-learning/grpo/veRL

[dependabot]

Bumps vllm from 0.8.3 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:

• Grok-2 with tiktoken tokenizer (#31847)
• LFM2-VL vision-language model (#31758)
• MiMo-V2-Flash (#30836)
• openPangu MoE (#28775)
• IQuestCoder (#31575)
• Nemotron Parse 1.1 (#30864)
• GLM-ASR audio (#31436)
• Isaac vision model v0.1/v0.2 (#28367, #31550)
• Kanana-1.5-v-3b-instruct (#29384)
• K-EXAONE-236B-A23B MoE (#31621)

LoRA Support Expansion:

• Multimodal tower/connector LoRA (#26674): LLaVA (#31513), BLIP2 (#31620), PaliGemma (#31656), Pixtral (#31724), DotsOCR (#31825), GLM4-V (#31652)
• DeepSeek-OCR (#31569), Qwen3-Next (#31719), NemotronH (#31539), PLaMo 2/3 (#31322)
• Vision LoRA mm_processor_cache support (#31927)
• MoE expert base_layer loading (#31104)

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

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Superseded by #191.