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
- [Frontend][Core] Add hierarchical cache salting for shared prefixes across tenants
- [Doc] Add configurable /dev/shm shared memory mount to helm chart
- replace torch.cuda.current_stream with accelerator api
- [Bugfix][Core] Ignore stale KV xfer callbacks after request cleanup (#37837)
- Fix cudagraph max capture size upper bound
- [LMCache CI]: add HND interface protection
- [ROCm] Add UE8M0 scale packing for Triton silu_mul_quant
- [RFC]: Unify the function of getting device count
- fix: handle FakeTensorMode patching for PyTorch compatibility
- [Frontend] Use unified Parser for chat completions non-streaming
- Docs
- Python not yet supported