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]: Generalize Connector Metrics
- [RFC]: Reconcile Backpressure Admission
- [RFC]: Secondary Tier Usage Metrics
- [Bugfix] Avoid cloning target logits when logprobs are disabled
- [Benchmark] Fix MoE tuner cache cleanup and OOM recovery
- [Bug]: ExampleConnector keys external KV on raw prompt tokens, so cache_salt, LoRA and prompt_embeds do not partition it
- [Bugfix] Scale block size before padding a unified KV page
- [Bugfix][Frontend] Preserve prefix cache for inline system turns
- [DSV4]fix run dsv4 fp8 weight
- [Test][Scheduler] Regression coverage for multi-module MTP prefill-lookahead chunking
- Docs
- Python not yet supported