Update README.md

README.md

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 ## InfiX.ai
 
-Welcome to **InfiX-ai**! We are a research-driven organization dedicated to building Collaborative Generative AI (Co-GenAI). Our current focus lies in advancing model collaboration, improving reasoning capabilities, and developing efficient training methods. Our long-term vision is to enable a decentralized future where everyone can access and collaborate with AI models equally to solve complex problems.
+Welcome to **InfiX-ai**! We are a research-driven organization dedicated to building Collaborative Generative AI (Co-GenAI). Our current focus lies in advancing model collaboration, improving reasoning capabilities, and developing efficient training infrastructure. 
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+Our long-term vision is to enable a decentralized future where everyone can access and collaborate with AI models equally to solve complex problems.
 
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 ### 🤖 Our Model Series
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 - [InfiGUIAgent](https://huggingface.co/papers/2501.04575): **InfiGUIAgent** is a GUI agent that embeds native hierarchical and expectation-reflection reasoning through a unique two-stage supervised pipeline, enabling robust, multi-step GUI task automation. 
 - [InfiGUI-R1](https://huggingface.co/InfiX-ai/InfiGUI-R1-3B): **InfiGUI-R1** is a GUI agent developed via the Actor2Reasoner framework, which evolves a reactive model into a deliberative reasoner capable of sophisticated planning and error recovery through spatial reasoning distillation and reinforcement learning.
 
-#### 🧠 Reaoning-enhanced Continual Pretrain
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-- [InfiR](https://huggingface.co/papers/2502.11573): **InfiR** aims to advance AI systems by improving reasoning, reducing adoption barriers, and addressing privacy concerns through smaller model sizes. 
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 #### ⚡ Efficient Post-training for Reasoning
 - [InfiAlign](http://huggingface.co/collections/InfiX-ai/infialign-688600ca363ab9ef0b78f7a6): **InfiAlign** is a scalable and data-efficient post-training framework that combines supervised fine-tuning (SFT) and reinforcement learning (RL) with a high-quality data selection pipeline to enhance reasoning in large language models.
 - [InfiMMR](https://arxiv.org/abs/2505.23091): **InfiMMR** is a novel three-phase curriculum framework that systematically enhances multimodal reasoning capabilities in small language models through foundational reasoning activation, cross-modal adaptation, and multimodal reasoning enhancement. 
 
+#### 🧠 Reaoning-enhanced Pretrain within Low Resource
+
+- [InfiR](https://huggingface.co/papers/2502.11573): **InfiR** aims to advance AI systems by improving reasoning, reducing adoption barriers, and addressing privacy concerns through smaller model sizes. 
+- [InfiR-FP8](https://huggingface.co/InfiX-ai): **InfiR-FP8** is a smaller reasoning-enhanced model trained from scratch using FP8 precision, achieving successful convergence while reducing memory usage by 10% and improving training speed by 20% during the training process. The model will be released in mid-September.
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 ### News📰