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] W4A8-INT compressed_tensors silently runs W4A16 — activations never quantized to int8
- [Installation]: Ray not present in Container Image
- [Usage]: how does cpu offload work?
- [Misc] Switch py-cpuinfo dependency to maintained fork
- [Bug]: truncation: "auto" in Responses API returns 400 instead of truncating input
- [RFC]: Endpoints to Retrieve User Configuration and Runtime Data
- Add `sp_min_token_num=0` to E2E correctness tests for SP and AsyncTP
- [Feature][Ray]: Support EEP for RayExecutorV2
- [Bug]: MFU statistics on the Step-3.5-Flash model are inaccurate
- [Feature]: Universal Speculative Decoding for Heterogeneous Vocabularies (TLI / Token-Level Intersection)
- Docs
- Python not yet supported