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
- [DSV4] Attention accumulation in model dtype
- RFC: Memory-backend interface for KV cache hot paths and attention decode
- [Test] Remove outdated --no-async-scheduling flag usage
- [Installation]:
- [Feature]: Hashicorp Vault Integration for API Key
- fix(lightning_attn): make CBLOCK device-aware to fit Ampere SMEM
- Support Responses API input in tokenize endpoint
- [Bug]: [kv_offload+HMA] Fails on chat subsequent request
- [Bugfix] Improve error messages for LoRA+speculative and attention_backend config conflicts
- [Build] CPU extension fails to compile on macOS ARM64 (Apple Silicon)
- Docs
- Python not yet supported