🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

This actually reproduces as of today. In 5 out of 8 generations, DeepSeekV3 claims to be ChatGPT (v4), while claiming to be DeepSeekV3 only 3 times. Gives you a rough idea of some of their training data distribution.

.Liquid AI's new models are taking off 🛫 Great at English, Arabic, and Japanese

The updated LFM-3B and LFM-40B from Liquid AI are now also trending on OpenRouter. <1s latency and fast inference, with 167.2 tokens/s for LFM-40B. Many more models to come!

Claude 4 Opus (Claude 4o) 🔥🔥🔥

🤏 Can small models be strong reasoners? We created a 1B reasoning model at Liquid AI that is both accurate and concise We applied a combination of SFT (to raise quality) and GRPO (to control verbosity) The result is a best-in-class model without specific math pre-training

We released our first open-weight models, setting a new bar for speed and efficiency huggingface.co/LiquidAI

The easiest way to run LFM2 locally

To run LFM2 in LM Studio, do this: 1. Make sure you’re on 0.3.18 2. Press Cmd / Ctrl + Shift + R 3. Choose the “Beta” channel 4. Update llama.cpp 5. Run LFM2!

LFM2 is now available on LM Studio 🎉 You can play with it today using the beta channel. I noticed that other small models often struggle to provide relevant answers within a structured output. We trained LFM2 on so much structured outputs that it doesn't mind at all.

The Liquid Neural Networks Story [almost technical] back in 2016, Mathias Lechner and I were looking into how neurons in animal brains exchange information with each other, when prompted by an input signal. this is not new! in fact it dates back to Lord Kelvin’s discovery of cable

LFM2-350M running on a Raspberry Pi ... with 42 tokens per second 🚀 (238 tokens per second prefill)

Trying out LFM2 350M from Liquid AI and was mind-blown 🤯 The responses were very coherent. Less hallucinations compared to models of the same size. Very well done!! The best part: Q4_K_M quantization is just 230 Megabytes, wow!

Thanks to MLX King Prince Canuma, LFM2 now runs on Apple Silicon GPUs

Our goal: Make running a local LLM as easy as calling a cloud API, at zero cost per token

Finally, a dev kit for designing on-device, mobile AI apps is here: Liquid AI's LEAP venturebeat.com/business/final…

We're at #ICML2025! 🚀 Stop by the Liquid AI booth in Vancouver this week to chat with our team about novel architectures, AI on the edge, and explore career opportunities

we will be having 3 grand hackathons soon at Liquid AI offices in Boston, SF, and Tokyo. This is called “Bohemian Rhapsody, the Liquid edition”. you will build a wild ai agent with a swarm of tiny models to match/surpass frontier models in the real-world app of choice. join

OpenAI's marketing strategy: 1. Tease an open-source model for months but never release it 2. Release some agent tools instead 3. Profit