BitNest is a speculative decoding framework that embeds a low-precision draft directly into a higher-precision LLM's weights, letting both share a single memory representation to speed up inference…

#SpeculativeDecoding #LLMInference #EfficientAI #ModelCompression
https://arxiv.org/abs/2610.02800

A serving setup for Qwen3.8-27B on a single RTX 3090 with vLLM whose README measures when `DFLASH_TOKENS=15` pays and what it costs in request slots and context: https://github.com/syv-ai/qwen38-27b-rtx3090

#Vllm #LocalLlm #SpeculativeDecoding

Liquid AI just dropped LFM2.5‑VL, a vision‑language model that decodes tokens 3.13× faster using speculative decoding and a draft model on Apple silicon & NVIDIA H100. Curious? Dive in! #LiquidAI #LFM2_5VL #SpeculativeDecoding

🔗 aidailypost.com/news/liquid-...

Can AI draft its own next tokens? Gemma 4 makes speculative decoding a real local-AI tradeoff.

#Gemma4 #LocalAI #SpeculativeDecoding https://spaisee.com/article/gemma-4-turns-speculative-decoding-into-a-practical-local-ai-decision