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
- [AMD] Support fp4 dispatch and fp8 combine for MORI EP
- [Bugfix] Reject non-positive num_gpu_blocks_override in CacheConfig
- fix(lora): _load_lora_config retry uses deterministic backoff without jitter — thundering herd risk
- [Bug]: lmcache_connector.start_load_kv asserts on degraded LMCache instead of honoring "recompute" fallback
- [Bugfix] Detect driver-level CUDA init before fork
- [Bugfix] Restore logging disable level on exception in suppress_logging
- [Model] Initialize GDN dt_bias and A_log params as float32
- [RFC]: Model customized KVCache Planning
- [Bugfix][KVConnector] Fix token length with speculative decoding
- Adding support for zentorch-gdn
- Docs
- Python not yet supported