vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported36 Subscribers
View all SubscribersAdd a CodeTriage badge to vllm
Help out
- Issues
- [Bugfix][Tool Parser] Fix hunyuan_a13b/xlam streaming: argument named "name" spawns a phantom tool call
- [CI][Intel] Add GSM8K DeepSeek-V2-Lite-Instruct-FP8 XPU eval job
- [Feature] Support KV-cache events & KV-transfer for hybrid-attention models
- [Feature]: Real-time request-queue signal (NUM_REQUESTS_RUNNING/WAITING) for external routers
- [XPU] Support test_cp_generation and add to Intel CI
- [ROCm][Perf] gfx942: use FlyDSL fp8 MQA logits kernel (ROCm/aiter#3913)
- [RFC]: Speculative recompute fallback for slow remote KV cache loads
- FlashInfer + spec-decode silently downgrades to PIECEWISE cudagraphs (−16% measured); warning understates the cost
- [Performance]: Dynamic speculative decoding (num_speculative_tokens_per_batch_size) causes catastrophic aggregate-throughput collapse under concurrency at the batch-size threshold (MTP, V1/PIECEWISE)
- [Bug]: MTP draft model ignores checkpoint per-layer quantization config (block_name_to_quantize mapped inconsistently vs target)
- Docs
- Python not yet supported