We create world-class foundation models that redefine what AI can do.
Sunnyvale • Abu Dhabi • Paris
Joined March 2026
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Introducing K2 Horizon: a connected fleet of six foundation models ranging from 0.9 billion to 375 billion parameters.
- Frontier performance: Across coding and agentic tasks, K2 Horizon delivers top-tier performance in every size class—with the 0.9B, 3.7B and 7B models setting new state of the art at their respective scales.
- Radical openness: K2 Horizon represents the largest fully open-source model launch in AI history. The fully open code, training data and recipes are a significant step forward in transparency.
Launch page: ifm.ai/k2/
Tech blog: ifm.ai/blog/k2
Hugging Face: huggingface.co/collections/I…
We're open-sourcing RL360, the RL infrastructure behind K2 Horizon's six domain experts: 8,192 concurrent sandboxes, 150 steps in 7 days, ~1.3M rollouts.
Long-horizon agentic RL runs thousands of agents in real sandboxes on tasks that take minutes. Some of those sandboxes crash mid-task, and a crash arrives as the same low score as a wrong answer.
Without infrastructure that can keep up, GPUs are underutilized and the model gets penalized for system crashes rather than its own mistakes.
RL360 is built for this. We share how it works, what broke at scale, and what we learned in the thread.
Code: github.com/ifm-ai/RL360
Run: wandb.ai/mbzuai-llm/rl360-pu…
Lesson 3: run images where they’re already cached. Sandboxes that landed on random nodes kept pulling their images cold. Images are pinned to specific nodes, and most sandbox starts hit a warm local cache.
Jais-ASR ranks #1 on the Open Universal Arabic ASR Leaderboard.
Our open model is built for Modern Standard Arabic and dialects from 19 countries.
Beyond the leaderboard, it handles:
- Natural code-switching with English, French, Spanish, and Italian
- Robustness to background noise
- Faithful transcription, resistant to hallucinations
- Arabic diacritization
- Built-in language and dialect identification
Weights released under Apache 2.0: huggingface.co/IFM/Jais-ASR
Jais 3 is built for Arabic from the start.
Speech: the most accurate open Arabic ASR, across MSA and dialects
Writing: fluent, native Arabic from the first line to the last
Agents: leads open models on Arabic agentic tasks
Download weights: huggingface.co/collections/I…
Day-0 support for Jais 3 on @sgl_project, so an Arabic-first agentic model is now straightforward to serve at scale. Thank you to the SGLang team!
Weights: huggingface.co/collections/I…
API: platform.ifm.ai
Jais 3 from @IFM_AI is live on SGLang from Day 0!
Jais 3 is a family of six open Arabic-centric models, from 0.9B to 375B, built to plan, call tools, and work on Arabic documents as agents, ready to serve on SGLang!
Huge thanks to the vLLM team!
With Day-0 support on @vLLM, Jais 3 now runs on both of the serving stacks most teams already have.
Weights: huggingface.co/collections/I…
API: platform.ifm.ai/
📷 Day-0 support for Jais 3 in vLLM!
Congrats to @IFM_AI and collaborators on the launch. Arabic-native agentic AI, ready to serve with vLLM from day one.
Jais 3: First adaption of K2 Horizon
Jais 3 is built on K2 Horizon, our six-fleet fully open model family.
Stronger in Arabic at every size, without starting from scratch. Plus Jais Speech, the most accurate open Arabic ASR.
Download weights now: huggingface.co/collections/I…
