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
- [Usage]: How to proactively clear CPU-resident memory left behind by unloaded LoRA adapters after calling `/v1/unload_lora_adapter`?
- [Bug]: Streaming chat completion drops partial content when stop string interrupts auto tool parsing
- [Security] Blocked by CVE-2025-30165 & CVE-2024-11041 (Legacy V0 Engine)
- [Bug]: benchmark_serving_multi_turn.py deadlocks after clients exit when --max-num-requests is used
- [Bug]: compiling from source crashes the PC
- [Model] Add Mistral3 MM LoRA token helper methods
- [Bug]: ValueError: GGUF model with architecture deepseek2 is not supported yet.
- Add torch.compile diagnostics helper
- [Perf] Deduplicate tokenizer.decode() calls in logprobs detokenization
- [Bugfix][Mooncake] Fix DP worker bootstrap register ReadTimeout race
- Docs
- Python not yet supported