LLM Integration

Local model deployment, model quantization, inference optimization, edge deployment

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Scoured 247 posts in 12.8 ms

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

 📉Model Quantization

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

 🦙Ollama  Content type: Blog
dev.to··DEV

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 💬Prompt Engineering
zozo123.github.io··Hacker News

Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.

 🦙Ollama  Content type: Code
github.com··DEV

Ollama 0.30 delivers faster NVIDIA GPU performance and wider hardware support

 🦙Ollama
alternativeto.net·

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

 📉Model Quantization  Content type: News  Content type: Blog

Optimizing Local LLM Inference on Constrained Hardware

 🦙Ollama
pub.towardsai.net
·

Fixing a stuck Ollama runner and building a GPU watchdog

 🦙Ollama

Unsloth Gemma 4 QAT

 🦙Ollama
unsloth.ai·

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

 💸Affordable LLMs  Content type: Blog
dev.to··DEV

zhongkaifu/TensorSharp: A C# inference engine for running large language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability

 🦙Ollama  Content type: Code
github.com··Hacker News

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

 🦙Ollama

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

 📉Model Quantization  Content type: News

Running Qwen 35B MoE at 450k Context on a Single 32GB GPU

 💬Prompt Engineering

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

 🦙Ollama

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

 📉Model Quantization  Content type: Blog
dev.to··DEV

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

 🦙Ollama  Content type: Blog
alper.bearblog.dev·

Nvidia DGX Spark GB10 – AI Models and Guide with vLLM and Autonomous Script

 📉Model Quantization  Content type: Code
github.com··Hacker News

Running a Local AI Engineering Agent with deepstrain: A Step-by-Step Tutorial

 💸Affordable LLMs  Content type: Blog
dev.to··DEV

Apples to Apples: MLX vs. Llama.cpp for Gemma 4 12B on an M1 16GB

 🦙Ollama  Content type: Blog
ziraph.com··Hacker News

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