Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,16 @@ pinned: false
|
|
| 12 |
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.
|
| 13 |
|
| 14 |
---
|
| 15 |
-
### 🤖
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
#### 🧠 Reaoning-enhanced Continual Pretrain
|
| 17 |
|
| 18 |
- [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.
|
|
@@ -21,14 +30,6 @@ Welcome to **InfiX-ai**! We are a research-driven organization dedicated to buil
|
|
| 21 |
- [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.
|
| 22 |
- [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.
|
| 23 |
|
| 24 |
-
#### 🖥️ Advanced Vision-Native GUI Agent Model
|
| 25 |
-
- [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.
|
| 26 |
-
- [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.
|
| 27 |
-
|
| 28 |
-
#### 🔗 Model over Models
|
| 29 |
-
- [InfiFusion](https://huggingface.co/collections/InfiX-ai/infifusion-683c7d7f00c71614ba8ceb96): **InfiFusion** is a logit-level fusion pipeline based on Universal Logit Distillation, enhanced with Top-K filtering and logits standardization. It supports both pairwise and unified fusion strategies to balance performance and efficiency.
|
| 30 |
-
- [InfiGFusion](https://huggingface.co/InfiX-ai/InfiGFusion-14B): **InfiGFusion** is a structure-aware extension that builds co-activation graphs from logits and aligns them via an efficient Gromov-Wasserstein loss approximation, capturing cross-dimension semantic dependencies for stronger reasoning.
|
| 31 |
-
- [InfiFPO](https://huggingface.co/InfiX-ai/InfiFPO-14B): **InfiFPO** is a lightweight fusion method during the preference alignment phase that injects fused model behavior into preference learning, enabling richer signal during DPO-style fine-tuning.
|
| 32 |
|
| 33 |
---
|
| 34 |
### News📰
|
|
|
|
| 12 |
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.
|
| 13 |
|
| 14 |
---
|
| 15 |
+
### 🤖 Our Model Series
|
| 16 |
+
#### 🔗 Model over Models
|
| 17 |
+
- [InfiFusion](https://huggingface.co/collections/InfiX-ai/infifusion-683c7d7f00c71614ba8ceb96): **InfiFusion** is a logit-level fusion pipeline based on Universal Logit Distillation, enhanced with Top-K filtering and logits standardization. It supports both pairwise and unified fusion strategies to balance performance and efficiency.
|
| 18 |
+
- [InfiGFusion](https://huggingface.co/InfiX-ai/InfiGFusion-14B): **InfiGFusion** is a structure-aware extension that builds co-activation graphs from logits and aligns them via an efficient Gromov-Wasserstein loss approximation, capturing cross-dimension semantic dependencies for stronger reasoning.
|
| 19 |
+
- [InfiFPO](https://huggingface.co/InfiX-ai/InfiFPO-14B): **InfiFPO** is a lightweight fusion method during the preference alignment phase that injects fused model behavior into preference learning, enabling richer signal during DPO-style fine-tuning.
|
| 20 |
+
|
| 21 |
+
#### 🖥️ Advanced Vision-Native GUI Agent Model
|
| 22 |
+
- [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.
|
| 23 |
+
- [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.
|
| 24 |
+
|
| 25 |
#### 🧠 Reaoning-enhanced Continual Pretrain
|
| 26 |
|
| 27 |
- [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.
|
|
|
|
| 30 |
- [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.
|
| 31 |
- [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.
|
| 32 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
|
| 34 |
---
|
| 35 |
### News📰
|