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build(deps): bump vllm from 0.2.7 to 0.5.5 in /nemoguardrails/library/patronusai #1

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@dependabot dependabot bot commented on behalf of github Sep 17, 2024

Bumps vllm from 0.2.7 to 0.5.5.

Release notes

Sourced from vllm's releases.

v0.5.5

Highlights

Performance Update

  • We introduced a new mode that schedule multiple GPU steps in advance, reducing CPU overhead (#7000, #7387, #7452, #7703). Initial result shows 20% improvements in QPS for a single GPU running 8B and 30B models. You can set --num-scheduler-steps 8 as a parameter to the API server (via vllm serve) or AsyncLLMEngine. We are working on expanding the coverage to LLM class and aiming to turning it on by default
  • Various enhancements:
    • Use flashinfer sampling kernel when avaiable, leading to 7% decoding throughput speedup (#7137)
    • Reduce Python allocations, leading to 24% throughput speedup (#7162, 7364)
    • Improvements to the zeromq based decoupled frontend (#7570, #7716, #7484)

Model Support

  • Support Jamba 1.5 (#7415, #7601, #6739)
  • Support for the first audio model UltravoxModel (#7615, #7446)
  • Improvements to vision models:
    • Support image embeddings as input (#6613)
    • Support SigLIP encoder and alternative decoders for LLaVA models (#7153)
  • Support loading GGUF model (#5191) with tensor parallelism (#7520)
  • Progress in encoder decoder models: support for serving encoder/decoder models (#7258), and architecture for cross-attention (#4942)

Hardware Support

  • AMD: Add fp8 Linear Layer for rocm (#7210)
  • Enhancements to TPU support: load time W8A16 quantization (#7005), optimized rope (#7635), and support multi-host inference (#7457).
  • Intel: various refactoring for worker, executor, and model runner (#7686, #7712)

Others

  • Optimize prefix caching performance (#7193)
  • Speculative decoding
    • Use target model max length as default for draft model (#7706)
    • EAGLE Implementation with Top-1 proposer (#6830)
  • Entrypoints
    • A new chat method in the LLM class (#5049)
    • Support embeddings in the run_batch API (#7132)
    • Support prompt_logprobs in Chat Completion (#7453)
  • Quantizations
    • Expand MoE weight loading + Add Fused Marlin MoE Kernel (#7527)
    • Machete - Hopper Optimized Mixed Precision Linear Kernel (#7174)
  • torch.compile: register custom ops for kernels (#7591, #7594, #7536)

What's Changed

... (truncated)

Commits
  • 09c7792 Bump version to v0.5.5 (#7823)
  • f1df5db [Misc] Update marlin to use vLLMParameters (#7803)
  • 35ee2ad [github][misc] promote asking llm first (#7809)
  • e25fee5 [BugFix] Fix server crash on empty prompt (#7746)
  • faeddb5 [misc] Add Torch profiler support for CPU-only devices (#7806)
  • fc5ebbd [Hardware][Intel GPU] refactor xpu_model_runner for tp (#7712)
  • c01a6cb [Ray backend] Better error when pg topology is bad. (#7584)
  • b903e1b [Frontend] error suppression cleanup (#7786)
  • a152246 [Misc] fix typo in triton import warning (#7794)
  • 666ad0a [ci] Cleanup & refactor Dockerfile to pass different Python versions and scca...
  • Additional commits viewable in compare view

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Bumps [vllm](https://github.com/vllm-project/vllm) from 0.2.7 to 0.5.5.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Commits](vllm-project/vllm@v0.2.7...v0.5.5)

---
updated-dependencies:
- dependency-name: vllm
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Sep 17, 2024
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