lm studio

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docs: document lmstudio runtime contracts · openclaw/openclaw@82710b4

 🎰Procedural Generation  Content type: Code
github.com·

Qwen 3.6 27B AutoRound GGUF, need your feedback

 🗂️Obsidian

Ollama 0.30 GPU Boost: Faster local Qwen inference on NVIDIA

 🎰Procedural Generation
everylocalai.com··DEV

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs

 🎰Procedural Generation  Content type: Academic
arxiv.org·

lightmetal: GPU LLM Inference From a Single Java 25 JAR

 🎰Procedural Generation  Content type: Blog
adambien.blog·

Florian Brand, Prime Intellect research engineer, adopts Gemma 4 E4B 6-bit quantized as his primary local Mac LLM

 🗂️Obsidian  Content type: News
digg.com··Hacker News

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

 🎲Playtesting

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

 🗂️Obsidian
xda-developers.com·

Improved performance and model support with GGUF

 🎰Procedural Generation  Content type: Blog
ollama.com·

MTP Isn't Always a Win: 1.95x on My 3090, but Speculative Decoding Is Hardware-Dependent

 🎰Procedural Generation  Content type: Blog
bric.pe.kr··DEV

local llm on laptop 780M GPU using llama + gemma 4 qat

 🎰Procedural Generation  Content type: Blog
alper.bearblog.dev·

Purpose-built local AI agents

 🎰Procedural Generation  Content type: Blog

Unsloth Gemma 4 QAT

 🎲Tabletop Simulators
unsloth.ai·

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

 🗂️Obsidian
Less-relevant results

Tokiyo Ooto & Orhythmoが新作アルバム『Play Nursery Rhymes and Children's Songs (童謡と子供の歌を唄う)』をEM Recordsよりリリース | AVE | CORNER PRINTING

 ✒️Typography
ave-cornerprinting.com·

Here's a llama.cpp CLI Command builder.

 🎲Playtesting

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

 🎰Procedural Generation
androidauthority.com·

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

 🎰Procedural Generation  Content type: News  Content type: Blog
blog.google··Hacker News

Building & Benchmarking: LLMs on a 16GB Jetson Orin NX for Hermes Agent

 🧩Heuristics  Content type: Blog
dnhkng.github.io·

LM Studio now lets you use your iPhone to talk to local models on your Mac

 🗂️Obsidian
9to5mac.com··r/apple

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