vLLM
High-throughput and memory-efficient inference and serving engine for large-language-models.
Core Features
- PagedAttention for optimized KV cache management.
- High-performance serving capabilities for models from hugging-face.
- Designed for efficient llm deployment and production-scale inference.
Recent Developments
- Local Deployment of SmolLM:
- Verified local serving of SmolLM3 3B via vLLM (as demonstrated by fahd-mirza).
- Key features of the SmolLM3-3B model:
- 3-billion parameter architecture.
- Advanced “thinking mode” enabling visible reasoning processes.
Related
- hugging-face
- SmolLM
- 2026 04 14 New SmoILM3 from hugging face