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
- Add opt-in FP8 vocab embedding support
- Fix error in Dynamic NTK scaling
- [Model] Support MiniCPM-V 4.6
- expose flex block size for batch invariant mode
- [Bug]: `sharded_state` load fails for FP8 models: `_filter_subtensors` drops `q_scale/k_scale/v_scale/prob_scale` parameters
- [Bug]: When using streaming tool calls in kimi-k2.5, only the content before the tool call can be obtained
- [Bug]: TP=2 spec-decode (qwen3_next_mtp / DFlash) on Qwen3.6 hybrid GDN crashes at gpu_model_runner.py:1927 num_accepted_tokens_event.synchronize() (cudaErrorIllegalAddress)
- [Bug]: MM accuracy issue caused by transformers upgrade
- [Usage]: Is there someway to accelerate deepseek v4 flash/pro load ckpt time?
- [CI] De-flake the step failure "Elastic EP Scaling Test"
- Docs
- Python not yet supported