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KV cache quantization: what FP8/INT8 K and V actually buy you, and where they break

 Inference  Content type: Blog
dev.to··DEV

MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 TPS

 Inference  Content type: Blog

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

 🏢Architecture  Content type: Blog
elastic.co·

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

 🔓Open Source AI  Content type: News  Content type: Blog
blog.google··Hacker News

I switched from LM Studio to llama.cpp, and I'm never going back to a bloated wrapper

 🖥️Local AI
howtogeek.com·

alexziskind1/model-shelf: Model Shelf is a local-first model resolver that helps AI agents and scripts find model weights on your own storage before downloading from Hugging Face. Point it at an internal SSD, NAS, external SSD, or Thunderbolt DAS, and it returns the best local path for GGUF, MLX, safetensors, Ollama, vLLM, and other local AI workflows.

 🖥️Local AI  Content type: Code
github.com·

ComfyUI NVFP4 in 2026: 3 Faster Image Generation on RTX 50-Series (and the Right Format for RTX 40-Series)

 🟩Nvidia  Content type: Blog
dev.to··DEV

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

 🔓Open Source AI
androidauthority.com·

I built a fully local AI coding assistant in Windows with Ollama and VS Code

 🧠LLM Tooling
howtogeek.com·

DeepSeek V4, LeCun's Bet Against LLMs, and Lovable's Self-Improving Agent - The Tokenizer Edition #30

 🤖AI

Doubling Qwen3.6-27B on One RTX 3090: ollama llama.cpp + MTP, Lever by Lever (35.7 80.2 tok/s)

 🖥️Local AI  Content type: Blog
dev.to··DEV

not much happened today | AINews

 🔓Open Source AI
news.smol.ai·

How to Run an LLM Locally on Your Mobile Phone with QVAC and Expo

 🤖GenAI
freecodecamp.org·

Speculators v0.5.0: DFlash support and online training

 Inference
developers.redhat.com·

Open-LLM-VTuber Review: Offline AI Companion with Live2D

 🧠LLM  Content type: Blog
dev.to··DEV

Google Gemma 4 12B: Architecture, Benchmarks, Access, and Hands-on Guide for Developers

 🔓Open Source AI  Content type: Blog
analyticsvidhya.com·

Launch HN: General Instinct (YC P26) – Frontier models on edge devices

 🚀Frontier AI  Content type: Discussion

How to Tune llama.cpp --n-gpu-layers: A Practical VRAM Guide (2026)

 🖥️Local AI  Content type: Blog
dev.to··DEV

Intel's mysterious new datacenter GPU is what Nvidia's Rubin CPX nearly was

 🟩Nvidia
theregister.com·

3x Faster Search: Parallel Test-Time Scaling with Instructed-Retriever-1

 Inference  Content type: Blog
databricks.com·

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