Africa’s digital future can’t be built on borrowed data. In our latest article, we explore why ethical, inclusive AI must lead Africa’s tech journey, and how Awarri is building it. Read here: . #EthicalAI #AIforAfrica #LocalLLMs #Awarri

Cloud isn’t dead. But in 2025, local AI is booming. Open models, zero-token-cost inference, and lightning-fast privacy workflows—.The edge isn’t fringe anymore. It’s where smart builders are heading. Here’s how the local LLM stack is reshaping AI. #localllms

Running LLMs on your phone?.In 2025, it’s not science fiction—it’s default. The era of edge-native AI is here:.– No latency.– No internet.– Full privacy.Here’s the toolkit every AI builder should know for mobile-native AI. #edgeAI #localLLMs

I'm building an AI-powered Social Media Content Generator using #Google's Gemma 2B model (local inference, fine-tuned).Will be sharing my entire journey openly on X.Follow along and let's learn together! #BuildInPublic #Gemma #AI #LocalLLMs

#LLama3 on #SteamDeck !.All thanks to the #MLC_LLM library that enables you to effortlessly compile #llms for Cuda, ROC and Vulcan and since Steam Deck is using AMD GPU it wasn’t a problem at all. I managed to run Llama-3-8B-Instruct-q4f16 with almost 15 tokens/s!. #localllms

#LocalLLMs FTW: Asynchronous Pre-Generation Workflow…. … or „How to Serve the right Recommendation BEFORE the Users even ask for it“:. #Ollama #LocalLLM #Python #Django.

Unlock the power of #LocalLLMs for Web3! Get privacy, speed & full customization that cloud models can't match. Build smarter, faster, & safer today. Don't let your projects lag behind—master local LLMs now! #Web3Dev #AI #Blockchain.

🚀 Ready for pragmatic #LLM and #GenerativeAI know-how sharing @BASTAcon starting tomorrow. Also, beyond #OpenAI and #GPT4 with open-source models. #OpenSource #LocalLLMs #Mistral #Zephyr #Functionary #llamacpp #ollama

こんにちは！🪐. ☑︎ Dify100本ノック.☑︎ Assistants API (v2).☑︎ CrewAI & AutoGen.☑︎ ペアプログラミング. #いろいろお試し1000本ノック.#LocalLLMs #MultiAgentSystems

New gem on @OpenWebUI !. Check out this walkthrough: It shows how to run local LLMs with @Docker Model Runner + OpenWebUI — no containers, GPU support, and OpenAI-compatible. Super clean setup. Worth a look!.#OpenWebUI #DockerAI #LocalLLMs.

LM Studioが、ローカルLLMを発見し、自分のマシンにダウンロードして、実行するためのツールLM Studioを紹介しています。#AI #MachineLearning #LocalLLMs #Innovation #Tech.

Discover our most recent blog post on the Risks & Benefits of Large Language Models in Healthcare! 🔔. #LargeLanguageModels.#HealthcareAI.#LocalLLMs.#StanfordAlpaca.#OpenSourceAI.#RedPajamaData.

local tool for automated web research and report generation using localLLMs

what a time to be alive! localLLMs, prompt to anything, agents, agentic AI, and so much more!. Half of the year and week after week, new tech is released and now I barely have time to learn the new CLI. But I already im on x10 speed mode when prompt for AI agent. I dont need more.

This #llamafile concept is super cool, and the first time running a multimodal model in my M1 MBA! Love the output. Mind Blown 🤯🤯🤯. Here is a screenshot: . #localLLMs #LLMs #llama2

🧠 How I slashed AI ops cost from $1.25 to $0.03 per task.Want scalable agents without the GPT-4 price tag?. Read the full strategy 👇.#AIdevelopment #LocalLLMs #GenAIstack #TokenEconomy.🔗

The user experience of local, offline LLM tools just keeps getting better! Gravity by @gravity_ai sets a new benchmark with its sleek package, combining best-in-class solutions like Mistral, MLX, & LLaVA for visual reasoning. #AI #LocalLLMs.

🚀 Having a powerful AI assistant on your computer, ready to help with writing, coding, and brainstorming—all offline! Local Large Language Models (LLMs) make this possible. #AI #Tech #LLMs #LMStudio #AnythingLLM #GPT4ALL #LocalLLMS #LLMS #LLM.

Local LLMs: AI Writing with Privacy at Heart - #llm #llms #lmstudio #localllms.#ArtificialIntelligence.Stop using LLMs online if you are worried about privacy concerns of the data you share with these tools. Learn to use LLMs locally

I put together a small benchmark of LocalLLMs running on an m4 pro-max with a lot of ram to give a qualitative sense of how running local models feels/speeds, let me know if you want any other info.