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
- [Feature] IndexCache for DeepSeek-V4 (validated on V4-Flash-0731, including DSpark on to accelerate on top of
- [RFC]: Model Runner V2 Pluggable Design
- [Feature]: DeepSeek V4: option to preserve <think>/</think> markers in chat completion content
- [CI/Build]: source_file_dependencies still point at pre-libtorch_stable csrc paths, so kernel jobs no longer trigger
- [Bugfix][Core] Make EncoderDecoderCacheManager slot release idempotent
- [Bugfix][Frontend][Model] Preserve DeepSeek V4 thinking tags on request
- [Bugfix] MiniMax-M3: structured output silently ignored with thinking enabled (scheduler reasoning-end gate never fires)
- [Rocm] Fix AITER_MLA issues for the kimik3-dspark model with Agentic workload
- [WIP][Model] Add upcoming TeleChat4 model support
- [Perf][Reasoning] O(delta) reasoning-end check for engine parsers
- Docs
- Python not yet supported