Local AI

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Scoured 473 posts in 32.8 ms

Improved performance and model support with GGUF

 🦙Ollama  Content type: Blog
ollama.com·

A system programmer’s guide to LLM inference

 🦙Ollama  Content type: Blog
blog.xiangpeng.systems··Hacker News

Token4Token — pay-per-token inference on Gnosis + Swarm

 🦙Ollama
t4t.eth.link··Hacker News

Ollama 0.30 delivers faster NVIDIA GPU performance and wider hardware support

 🦙Ollama
alternativeto.net·

147th airhacks tv: Local LLMs, LightMetal, ZSmith Agents, AI Rails, Saving Tokens

 🤖AI  Content type: Blog
adambien.blog·

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

 🦙Ollama
vettedconsumer.com··Hacker News

Joint Structural Pruning and Mixed-Precision Quantization for LLM Compression

 💬LLMs  Content type: Academic
arxiv.org·

I built an open-source persistent memory layer for AI coding agents

 🤖AI  Content type: Code
github.com··r/GithubCopilot

Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM

 🤖AI
deemwar-products.github.io··Hacker News

iOS 27's most advanced on-device AI needs 12GB of RAM – and most iPhones don't have it

 🦾AI Agents  Content type: News
techspot.com·

NexusOS v2.0 – A zero-dependency pipeline streaming server chaos to Parquet

 🦙Ollama
huggingface.co··Hacker News

Unsloth Gemma 4 QAT

 🦙Ollama
unsloth.ai·

I added this open-source tool to my local AI stack, and my local LLM finally has persistent memory

 🤖AI
xda-developers.com·

Fixing a stuck Ollama runner and building a GPU watchdog

 🦙Ollama
patrickmccanna.net··Hacker News

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

 🦙Ollama  Content type: News  Content type: Blog
blog.google··Hacker News

Apple's most advanced on-device AI features will only work on select devices

 🤖AI  Content type: News
gsmarena.com·

DeskDash - a free Windows tool to easily manage your GGUF files

 🦙Ollama
gerry7.itch.io··r/LocalLLaMA

Google Shrank Gemma 4 by 72% and Unsloth Fixed the 4-Bit Bug Nobody Else Caught on One 4090, and 4-Bit Shouldn’t Be This Good

 🤖AI  Content type: Blog
towardsai.net·

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

 🦙Ollama
androidauthority.com·

On-device AI agents hit a hard memory limit. Apple's new architecture routes around it.

 🦾AI Agents
venturebeat.com·

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