Maxime Labonne @maximelabonne
Head of Post-Training @LiquidAI_ 💻 GitHub: https://t.co/ElXDsjz8YP 🤗 HF: https://t.co/2ECS7GiJGD 📝 Blog: https://t.co/Gz5bhbXWT0 London, England Joined October 2017-
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Maxime Labonne retweeted
Very proud of our team at Liquid AI Japan! We’ve just released our first Japanese task-specific SLM in the model library (leap.liquid.ai/models), with many more to come. It’s a small 350M model (i.e. reaches 200 tok/s prefill 40tok/s decode on a Raspi5), so you may notice a…
Very proud of our team at Liquid AI Japan! We’ve just released our first Japanese task-specific SLM in the model library (leap.liquid.ai/models), with many more to come. It’s a small 350M model (i.e. reaches 200 tok/s prefill 40tok/s decode on a Raspi5), so you may notice a… https://t.co/YpskK2c8Vb
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Hugging Face did it again! Insane work, beautiful blog post.
Hugging Face did it again! Insane work, beautiful blog post.
Maxime Labonne retweeted
I wrote a short article about LFM-2's (by @LiquidAI_ ) hybrid architecture w/ illustration + simple pytorch impl.
Maxime Labonne retweeted
Meet LFM2 MCP, an in-browser tool calling MCP allowing for fast and local agentic workflows. Built by @KarnikShreyas, extending @xenovacom's WebGPU work.
Maxime Labonne retweeted
a reminder that there is a perfect free LLM course on github with fully-detailed roadmaps for LLM scientist and engineer careers. it has notebooks, resources, papers, and everything you need as a beginner. stop looking for the perfect roadmap, stick to this.
Maxime Labonne retweeted
Reduce your mobile phone screen time for better sleep cycles and sleeping patterns Introducing 🛡️Night Knight⚔️ Your digital wellbeing assistant🤖who persuades you to stop using your mobile phone when you exceed your daily limits✨ Built w @LiquidAI_ LEAP SDK & LFM2 Models 🔐
Maxime Labonne retweeted
Big step for on-device AI: Liquid AI’s Edge Platform, LEAP, now supports @AMD Ryzen™ and Ryzen AI™ processors, bringing powerful, low-latency AI directly to laptops. Here’s what it means for developers and enterprises 🧵
Maxime Labonne retweeted
🎉 The first output of our 350M-based VyvoTTS model. We have good news for you! 📢 To train a speaker or a new language with your own data, just a 6GB GPU device is sufficient. In the tests I conducted for Turkish, I achieved a high level of voice similarity and sound quality.…
Maxime Labonne retweeted
LFM2-VL is done✅ M3 max stats: - Full precision (~250 tok/s) - 4 bit quant (~530 tok/s)
LFM2-VL is done✅ M3 max stats: - Full precision (~250 tok/s) - 4 bit quant (~530 tok/s) https://t.co/CljrGcf954
Maxime Labonne retweeted
We have released our LFM2-350M based TTS model as open source 🚀 We have also released many different FT models. GPU Platform: @hyperbolic_labs Data: Emilia + Emilia Yodas(EN) LLM Model: LFM2-350M @LiquidAI_ Disk and Space: @huggingface I'm very happy to have released this…
Maxime Labonne retweeted
Gemma team released a great tiny model today! they forgot to compare it to the SoTA model! i fixed it for them
Gemma team released a great tiny model today! they forgot to compare it to the SoTA model! i fixed it for them https://t.co/DVxzlw12ri
Maxime Labonne retweeted
Two Weeks. $10K. No Excuses. Hack-01 is still live, and you’ve got until Aug 20, 2025 at 12 PM PST to ship your on-device AI build. ⚙️Tools: LFM2 + LEAP 💰Prizes: $10K every 2 weeks 📍Where: Discord (yes, you need to join) Build private, real-time AI on the edge — or just keep…
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