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
- [RFC]: Sharded Context Parallelism for Deepseek DSA
- [Bug]: Harmony parser skips last tokens in speculative decoding in streaming responses
- [Feature]: Automatically infer Qwen3 reranker settings (remove need for hf_overrides)
- [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
- [Feature][P1]: docker image / cache reuse between CI and release pipelines
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- Python not yet supported