Quantization

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GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)

 💻Local AI

Quality Is Not a Safety Proxy Under Quantization

 💻Local AI  Content type: Academic
arxiv.org·

Qwen 3.6 27B AutoRound GGUF, need your feedback

 💻Local AI

lightmetal: GPU LLM Inference From a Single Java 25 JAR

 💻Local AI  Content type: Blog
adambien.blog·

Unsloth Gemma 4 QAT

 💻Local AI
unsloth.ai·

The Inference Alpha: Maximizing Frontier Models on AMD

 Continuous Batching  Content type: Blog
digitalocean.com·

A system programmer’s guide to LLM inference

 Continuous Batching  Content type: Blog

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

 💻Local AI

MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better

 💻Local AI  Content type: News  Content type: Blog

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 📇Vector Indexing  Content type: Blog
elastic.co·

Improved performance and model support with GGUF

 💻Local AI  Content type: Blog
ollama.com·
Less-relevant results

KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

 🚀LLM Deployment  Content type: Code
github.com··Hacker News

Ollama 0.30 delivers faster NVIDIA GPU performance and wider hardware support

 💻Local AI
alternativeto.net·

Pruned YOLOv8 ONNX INT8 Fails: 3 Fixes That Work

 🎯LLM Finetuning  Content type: Blog  Content type: Discussion
tildalice.io·

Xiaomi MiMo-V2.5-Pro Just Hit 1,000 Tokens Per Second!

 🚀LLM Deployment
gizchina.com·

Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency

 🚀LLM Deployment  Content type: News  Content type: Blog
blog.google··Hacker News

China's Xiaomi MiMo Is Now 15X Faster Than ChatGPT and Claude (4 minute read)

 Speculative Decoding  Content type: News
decrypt.co·

TFLite Edge Model Quantizer Snippet

 Speculative Decoding

The latest Gemma 4 models use a training trick to slash their on-device memory footprint

 🔓Open Source AI
androidauthority.com·

146th airhacks tv: Rust, Java 25, AI Agents, BCE, Web Components, zunit, zb

 🤖LLMs  Content type: Blog
adambien.blog·

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