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]: Qwen3 Coder parser does not stream tool call arguments
- [Bug]: Ministral-3-14B-Instruct-2512 C++ Compilation Error with Torch Inductor and Batch Generation Failure with enforce_eager=False
- [Bug]: A particular request will be aborted after long time(5 minutes+)
- [Bug]: Qwen3-30B-A3B on vLLM-OpenAI v0.12.0 “hangs” in thinking mode: keeps reasoning until token cap
- [Feature]: fp8 kv cache for finer-grained scaling factors (e.g., per channel).
- [Bug]: GGUF model with architecture olmo2 is not supported yet
- [Bug]: llama4_pythonic tool parser fails with SyntaxError on nested list parameters
- [Feature][P1]: Separation of building and final base images on more variants
- [Performance]: Async sched: Why return AsyncGPUModelRunnerOutput util func sample_tokens
- [Tracking Issue][Performance] GPT-OSS B200/GB200 performance optimization tracker
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- Python not yet supported