vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bugfix] Restore logging disable level on exception in suppress_logging
- [Model] Initialize GDN dt_bias and A_log params as float32
- [Breakable Graph] add eager break for unified attention
- [RFC]: Model customized KVCache Planning
- Relax CuPy constraint to only exclude 14.1.0
- [Frontend] Split ServingRender into renderer and entrypoint.
- [Bugfix] Fail fast or extend RoPE cache when VLLM_ALLOW_LONG_MAX_MODEL_LEN exceeds model positions
- [Misc] Add unit test for write_zeros_to_output MoE kernel
- [Bugfix][Frontend] Fix http_requests_total metric recording some 4xx errors as 5xx
- [Bugfix][KVConnector] Fix token length with speculative decoding
- Docs
- Python not yet supported