Valen-Team / Valen

A multimodal decision model inspired by Jev — text, images and video in; decision probabilities out.
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 Intro · News · Demos · Models & datasets · Eval results · Quick start · Cookbook 
## ✨ Introduction
Valen (万澜) brings visual perception to System One decision-making. Inspired by Jev, it evaluates text, images and video against task instructions and returns probabilities over supplied candidates, giving software a structured decision interface. The repository includes the model implementation, data processing, SFT and experimental RLCD training, and inference and evaluation commands, with support for training on your own data.
## 📰 News
- **2026-10-13**: Released ONNX and GGUF versions of Valen models, available on Hugging Face.
- **2026-10-13**: Added API access to `valen-preview-0923`, `valen-0-8b`, `valen-2b` and `valen-4b`. See the API quick start notebook for usage examples.
- **2026-10-07**: **Faster, more accurate, more versatile.** Released the latest multimodal System One model **Valen (0.8B, 2B and 4B)**, supporting text, images and video, and the **VisualDecisionBench** benchmark.
- **2026-09-30**: **Training&Inference Support:** Added Flash Attention 2 support, enabled training across multiple nodes and GPUs, and improved GPU memory utilization during training.
- **2026-09-23**: Open-sourced the **Valen** repository and released **Valen-preview-0923** with its corresponding **training data**.
## 🎬 Demos
**Valen** image and video decision-making — click the preview to watch the full demo.
**Game decision-making** — five successful Valen rollouts. Click any preview to watch the full video.
 Sokoban Plans a 13-step optimal solution. 
 Frozen Lake 11-step optimal safe route. 
 Maze Completes a 22-step long-horizon route. 
 Lane Racer Changes lanes and clears the course in 10 steps. 
 Parkour Runner Chains jumps, dashes, ducks and runs over 14 steps. 
## 📥 Models and datasets
| Model | Download |
| --- | --- |
| Valen 0.8B | 🤗 Valen-0.8B |
| Valen 2B | 🤗 Valen-2B |
| Valen 4B | 🤗 Valen-4B |
| Valen-preview-0923 (earlier release) | 🤗 Hugging Face |
VisualDecisionBench contains Image and Video subsets for visual decision evaluation. Earlier releases include General 100k for training, General 5k for evaluation, and Sokoban for game training and evaluation.
## 📊 Evaluation results — Valen
**Visual decisions at 0.8B, 2B and 4B.** Valen uses Qwen3.5 + Mixer with shared-state inference, trained with SFT on millions of samples. The evaluation compares these checkpoints with published decision models on **VisualDecisionBench-Image, VisualDecisionBench-Video and public JevBench**.
Earlier results remain in the archived README.
## 🚀 Quick start
Learn by running the Cookbook notebooks: **API quick start** · **model download and local inference**. Both use real evaluation cases with input previews, executable cells and saved results. 简体中文：API 入门 · 下载与本地推理.
Install the dependencies. Run `hf auth login` if the Hugging Face repositories r