Unsloth AI

@UnslothAI

Run and train models locally with the Unsloth Desktop app. 🦥 github.com/unslothai/unsl…

San Francisco, CA

unsloth.ai

Joined November 2023

483 Following

102.9K Followers

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Unsloth AI
@UnslothAI
Aug 11
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 +
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Unsloth AI
@UnslothAI
Oct 30
We’re releasing new DeepSeek-V4.1-Flash-1017 GGUFs, ranking highest across benchmarks. Dynamic V3.1 leads across nearly all benchmarks: GPQA Diamond, AIME25, LiveCodeBench v6, MMLU-Pro, Aider & more. Run on 64GB+ RAM. GGUF: huggingface.co/unsloth/DeepSe… Blog: unsloth.ai/docs/models/de…
DeepSeek
@deepseek_ai
Oct 17
🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy,
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Unsloth AI
@UnslothAI
Oct 29
Mistral Le Chonk can now run locally! The 1 trillion parameter model runs on a Mac Studio with our 1-bit GGUF which retains 91% top-1 accuracy. Le Chonk is the strongest Western open model to date. GGUF: huggingface.co/unsloth/Mistra… Guide: unsloth.ai/docs/models/mi…
Mistral AI
@MistralAI
Oct 29
Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on
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Unsloth AI
@UnslothAI
Oct 28
Your local LLM can now take control of a browser and complete tasks autonomously via Unsloth! Qwen3.8-27B successfully controlled the browser to complete tasks like chess, painting, with no human intervention. GitHub: github.com/unslothai/unsl… Guide: unsloth.ai/docs/basics/br…
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Unsloth AI
@UnslothAI
Oct 26
MiniMax-M3.1-Flash can now run locally! We made 2-bit GGUF retain 91.5% top 1 accuracy while being 45% smaller. Run on 150GB RAM. MiniMax-M3.1-Flash is the strongest open model for its size & among the best overall. GGUF: huggingface.co/unsloth/MiniMa… Guide: unsloth.ai/docs/models/mi…
MiniMax (official)
MiniMax (official)
@MiniMax_AI
Oct 19
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence
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