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

Source Notes

• 2026-04-14: # New SmoILM3 from hugging face --- --- https://huggingface.co/blog/smollm3 https://github.com/samwit/llm-tutorials https://www.youtube.com/watch?v=WxABcirpB1g Fahd Mirza Used VLLM to serve locally This video provides a detailed review and local installation guide for the ` (New SmoILM3 from hugging face)