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
- [Bugfix][Model] Avoid duplicate Qwen3.5 MTP backbone allocations
- [ROCm][Bugfix] Add quantization compatibility guard for Fused Shared Expert in DeepSeek-V2/V3/Kimi-K2
- [Security] Replace diskcache to eliminate pickle deserialization
- fix: Correct reasoning-end detection for prompt history
- [MegaMoE] Support external DP load balancing with DeepGEMM MegaMoE
- [MoE Refactor] Combine CompressedTensorsWNA16MarlinMoEMethod with CompressedTensorsWNA16MoEMethod
- [Feature] KVarN: Variance-Normalized KV-Cache Quantization (4-bit K, 2-bit V)
- [KV Cache Quantization] SQuat: Subspace-orthogonal KV Cache Quantization
- [Usage]: Claude code does not work with vLLM
- Add global cache scope for ngram prompt lookup
- Docs
- Python not yet supported