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
- [RFC][Test]: Unified Platform-Aware Test Skip Mechanism
- [Bugfix] utf-8 decoding errors in benchmark endpoint client
- [Bug]: Batch invariance breaks with torch.compile and/or CUDA graphs on SM<90
- [ROCm] Fix AWQ env var scope, shuffle KV cache flag, sparse_attn_indexer dedup
- [Spec Decode] Add attention_backend override option for draft model
- fix: make ColQwen3 work with transformers >=5.0.0
- [EPLB] Remove unused is_profile and rank_mapping params from transfer layer
- [ROCm] Fix UnboundLocalError for prefix_scheduler_metadata in cascade attention
- [Bug]: Gemma 4 31B INT4 on 2×24GB GPUs (TP=2): GPU KV cache size is 25,200 tokens at max_model_len=131072, gpu_memory_utilization=0.96, BF16 KV
- [ROCm] Expanded sparse MLA support
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