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
- [Bug]: Inflight bitsandbytes quanitzation error in GLM-4.6V-Flash
- [Parser] Remove unused request parameter from extract_reasoning()
- [Attention][GPT-OSS] Add L40S/SM89 CUDA policy and sink-aware Triton tuning
- [Bug]: TypeError: transformers.tokenization_utils_tokenizers.TokenizersBackend._patch_mistral_regex() got multiple values for keyword argument 'fix_mistral_regex'
- [MoE refactor] refactor GPTQMarlinMoEMethod with MK
- [ROCm] Fall back to native rotary embedding when flash_attn triton kernel fails
- [Bug]: Qwen3.5 397B GPTQ model outputs all exclamation points on ROCM
- [benchmark] Clarify single-image limitation in CustomMMDataset (docs + warning)
- [Model] Add support for BharatGen's Param2MoE model
- [gRPC] Add standard gRPC health checking (grpc.health.v1) for Kubernetes native probes
- Docs
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