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
- [Feature]: Multi-Adapter Support for Embed Qwen3 8B Embedding Model
- [Feature]: Default eplb num_redundant_experts to the lowest valid value if unspecified
- [Feature]: MCP Support for Non Harmony Models
- [Feature]: Could you please provide Chinese documentation for vLLM? 😊
- [EPLB] perf: optimize balanced packing with min-heap (O(n) → O(log n))
- [Build] Use pip constraints to pin dependency versions
- [Bug]: gpt-oss response api: streaming + code interpreter has bugs
- [Bug]: Qwen3-235B-Instruct-MTP fails to parse the response while a chunk includes multiple tokens
- [Feature]: any plan to support Relaxed Acceptance in v1?
- Add `moe_align_block_size_no_permute` for small batch size with large num_expert
- Docs
- Python not yet supported