Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
Unsloth AI on Twitter / X
Introducing Unsloth Desktop 🦥The first desktop app to run and train models locally.• Open-source. Runs on Mac, Windows and Linux• Supports MLX, diffusion image/video, audio, GGUF• Connect Claude Code and Codex to local LLMs• 50% more accurate, self-healing tool calls +… pic.twitter.com/vjTFB1e5IQ— Unsloth AI (@UnslothAI) August 11, 2026
Unsloth - Train and Run Models Locally
Unsloth is an open-source, no-code web UI for training, running and exporting open models in one unified local interface.
Diffusion at Scale: Introducing Mercury 3 – Inception
Mercury 3 is the most capable diffusion LLM released to date. It outperforms GPT-6 Luna and Claude Haiku 5.5 while running 4–8x faster at 1,000+ tokens per second.
Unsloth AI on Twitter / X
Run Gemma 3n locally with our Dynamic GGUFs!✨@Google's Gemma 3n supports audio, vision, video & text and the 4B model fits on 8GB RAM for fast local inference.Fine-tuning is also supported in Unsloth.Gemma-3n-E4B GGUF: https://t.co/PliynxoKQc https://t.co/wMFWLjNaDR pic.twitter.com/lxsMNDmkW8— Unsloth AI (@UnslothAI) June 26, 2025
Tiiny Pocket | Personal AI Infrastructure for Local LLMs
Run open-source LLMs locally on Tiiny AI Pocket, with 80GB of memory, simple setup, API access for agents and workflows, and zero token fees.
Introducing Mercury 2.5 – Inception
Mercury 2.5 is the most capable diffusion LLM on the market. It runs at 1,107 tokens/sec and offers a 40% increase in intelligence over Mercury 2, comparable to cost-optimized frontier models.
How to Serve Local LLMs Anywhere: Secure Remote Access with Cloudflare and Unsloth | Unsloth Documentation
Unsloth is an open-source project that allows you to train and run LLMs locally and with Cloudflare tunnel, you can access Unsloth from your mobile device, share access to a friend or coworker, host Unsloth on a server such as Google Colab, AWS, or even a personal server.
Unsloth Docs | Unsloth Documentation
Unsloth is an open-source framework for running and training LLMs.
Research – Inception
We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional autoregressive LLMs.
Understanding Multimodal LLMs
An introduction to the main techniques and latest models
OpenRouter
The unified interface for LLMs. Find the best models & prices for your prompts
DeepSeek-V4.1-Flash: Run Locally Guide | Unsloth Documentation
Run DeepSeek-V4.1-Flash-1017 locally with Unsloth GGUFs and Engram n-gram offloading.
Announcing Burn-LM (alpha): LLM Inference Engine
We're happy to announce the Burn-LM, an LLM inference engine based on Burn! The goal is to support any large model, LLM, VLM, and others, for inference but also for training (pre-training, post-training, and fine-tuning).
sauravpanda/BrowserAI
Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
Locally AI - Run AI models locally on your iPhone, iPad, and Mac.
Run Llama, Gemma, Qwen, DeepSeek, and more on your iPhone, iPad, and Mac. Optimized for Apple Silicon. Offline. Private.
