Shoutouts

If you haven’t already, I’d recommend checking out @LiquidAI’s LFM2.5 model series. They’re absolute beasts for fast, local inference, especially on edge devices or in cases where speed matters most. https://huggingface.co/collections/LiquidAI/lfm25

Just tried LFM2 2.6 EXP model and it's mind-blowing to me. It's my go-to model for my phone with ChatterUI 😁 https://huggingface.co/LiquidAI/LFM2-2.6B-Exp

This is actually nuts: 41.3% on GPQA for a 2.6B model! That is PhD level knowledge running locally on your iPhone. The efficiency gains right now are insane.

@Prince_Canuma @liquidai LFM2.5-Audio's end-to-end processing is brilliant-especially those latency cuts! MLX-Audio integration could redefine on-device voice tech. 🚀

@maximelabonne @huggingface Impressive specs on LFM2-8B-A1B. The MoE architecture could change the game for mobile usage. Excited to see those benchmark results!

Liquid AI released an experimental checkpoint of LFM2-2.6B using pure RL, making it the strongest 3B on the market. "Meet the strongest 3B model on the market. LFM2-2.6B-Exp is an experimental checkpoint built on LFM2-2.6B using pure reinforcement learning. Consistent improvements in instruction following, knowledge, and math benchmarks. Outperforms other 3B models in these domains. Its IFBench score surpasses DeepSeek R1-0528, a model 263x larger"

@MParakhin Honestly, that’s insane sub 20ms inference with fewer parameters and higher performance? Liquid’s LFMs are setting a new bar for real-world AI deployment.

LFM2.5-1.2B-Thinking and Instruct lightning speed ...of the model have also a 1.6b vision model which can process images quite accurately. It was tested in cpu/gpu and flash attention with a max speed in one of our servers of 342 tokens per second. Definitely worth using and having in the repo...

The shift from bigger-is-better to efficient-is-smarter is accelerating. Liquid AI's 3B model beating much larger ones proves that pure RL training can unlock incredible efficiency gains.

@LisaFlorentina8 Liquid AI is the future for sure

@its_maddy_a @liquidai @ZeroGPU_AI This is awesome to hear! 🚀 Liquid AI’s architecture is a game-changer for efficiency. We’d love to see how @ZeroGPU_AI pushes the limits of the LEAP SDK. Keep us posted on the progress!

Trying out LFM2 350M from @LiquidAI_ 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!

okay no longer trapped inside today :> i started running a shitty vibe coded agent on my jetson orin nano called laine :D (yes from SEL). it’s using LFM2 8B A1B which so far is an amazing model so far. I love it so far

The future isn't in the Cloud, it's in your pocket. We obsess over 100B parameter models, but the real revolution is happening at the micro-scale. LFM 2.5 proves architecture beats raw size. With just 1.2B parameters, it crushes Llama 3.2 1B on complex reasoning, scoring

@liquidai The leap in instruction-following is impressive for a 3B model. How do you see models like this shifting enterprise or R&D applications?

@0xTib3rius OSS 20b is the banger in that size range. If you’re looking for a little smaller, but good utility, the LFM2 8b A1b (MOE model) is blazing fast and pretty smart for a little guy (all the LFM models are fantastic) If you need “freedom of expression” look for heretic (or heresy)

@liquidai Qwen3 4B 2507 Instruct might be an unfair comparison cause it is 2x the size, but thats what I daily drive. When I compare LFM against Qwen3 1.7B or Granite, LFM absolutely crushes the others and it is not even close. LFM2.5 is the best <4B model currently out there.

🚀 @LiquidAI_ LFM2-VL-1.6B sets new benchmarks: super-fast, edge-ready vision-language AI for real-world applications. Efficient. Scalable. Open. Explore now 👉 https://huggingface.co/LiquidAI/LFM2-VL-1.6B

@liquidai LFM2.5 1.2 reminds me of LFM2 700M, it's just more powerful... great job, your models are really excellent.

Liquid AI just launched a vision model so light it can run on your smartphone, big leap for AI everywhere. No more cloud dependency—privacy and speed go next-level. Ready to build the future? Check the VentureBeat article. Daily tips -> @realjackhui #AIonMobile

Liquid AI released an experimental checkpoint of LFM2-2.6B using pure RL, making it the strongest 3B on the market. Meet the strongest 3B model on the market. LFM2-2.6B-Exp is an experimental checkpoint built on LFM2-2.6B using pure reinforcement learning. Consistent

@LocallyAIApp LFM2 2.6B-Exp-8bit works super fast and efficient in iphone 16 pro