vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bug][Spec Decode] DSpark speculative decoding broken on H200 nightly
- fix: release committed encoder data for resumable sessions
- fix: don't ship uninitialized prompt logprobs after remote prefill
- [Bugfix] Validate Kimi attention layer configuration
- [Bugfix] Enhance reasoning extraction to handle prefixes and missing …
- [Bugfix][Model] Kimi K3: pad the MoE intermediate by the effective shard count, on both backends
- [Bug]: Kimi-K3 PP>1 with IndexError: index_fill_(): Expected dtype int64 for index
- [Bug]: System crash: Rust panic loading a tiktoken vocab file with duplicate ranks
- [Bug]: Qwen 3.* models go into doom loop if you use strict mode with tools without arguments.
- [Rocm] Fix LMcache support issues for the kimik3-dspark model
- Docs
- Python not yet supported