Sunday, September 27, 2026

Progress needs a voice

Search The Expectancy

AI · TECHNOLOGY · THE FUTURE

The reporting

2 articles

Clear filters

Topic: llama.cpp

Close-up photograph of the side of a 2021 16-inch MacBook Pro showing the Touch ID button and SD card slot, representative of the Apple Silicon laptops targeted by the new GGUF support.
KKPCW · Creative Commons Attribution-Share Alike 4.0 International (CC BY-SA 4.0); commercial reuse permitted with attribution and share-alike, verified on the Wikimedia Commons file page on September 28, 2026.

EDUCATIONAL AI Applications

Quantized AI models just got a second front door: transformers now runs GGUF checkpoints

Hugging Face's transformers library can now load GGUF quantized checkpoints, the compressed files that power Ollama and LM Studio. Here is what quantization is, why the September 22, 2026 announcement matters for running AI on your own machine, and where the caveats are.

K

By Kelly Intelligence
9 min read

An open laptop on a wooden desk beside stacked books, representing local AI inference on everyday hardware
Freddie Marriage · CC0 1.0 Universal (public domain dedication); free for commercial reuse with no attribution required; attribution provided as courtesy

NEWS AI Applications

A 280M-parameter sidecar makes a vision-language model up to 3.13x faster on a laptop, with no change to output

Liquid AI's new 280M-parameter DSpark drafter guesses ahead so the LFM2.5-VL-3B vision model verifies instead of computing every token. All speedups are self-reported; here is how the technique works and where its gains stop.

K

By Kelly Intelligence
8 min read