XDA Developers on MSN

6 local LLMs I've used that prove they're not just smaller versions of cloud models

These local LLMs are changing the game in lots of fun ways.

How DeepSeek’s DSpark Makes LLMs 85% Faster Without Retraining

DeepSeek has introduced DSpark, an open-source speculative decoding method that accelerates LLM inference by up to 85% ...
note

5 Reasons Why Dense Models Are Chosen for Local LLMs: A More Practical Approach Than MoE

When trying to run an LLM in a local environment (such as a home PC or laptop), why do Dense models like Gemma 4 31B or Qwen3.6-27B often generate more buzz than MoE models with larger total parameter ...
XDA Developers on MSN

I tested Google's new Gemma 4 12B on my 8GB GPU, and now I don't want to go back to smaller models

Not bad for limited hardware ...
IEEE

Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiences

Abstract: 6G networks promise revolutionary immersive communication experiences including augmented reality (AR), virtual reality (VR), and holographic communications. These applications demand ...
IEEE

Emotion-Aware LLM Adaptation for Empathetic Dialogue Generation

Abstract: The increasing emphasis on spiritual well-being in contemporary society has fueled a growing demand for empathetic dialogue generation. While large language models (LLMs) have demonstrated ...