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
- WIP: SarvamMLAForCausalLM (begin work)
- WIP: Tarsier2ForConditionalGeneration (begin work)
- KV cache compression via E8 lattice VQ — 10-33x with PagedAttention integration
- [Bug]: vLLM 0.19.0 fails to load Cohere ASR mode
- fix(ci): pin setup-uv action to immutable commit SHA
- [Installation]: New 0.19.0 docker build to run gemma4: transformers outdated.
- Fix: NemotronParseForConditionalGeneration (begin work)
- Remove num_cache_lines >= batch assertion when using conv_state_indices
- [Bug]: Ngram speculative decoding produces corrupted output on hybrid GDN (Qwen3.5) models
- fix: simplify dependency graph for dependents of LoRA utilities
- Docs
- Python not yet supported