AIOZ AI

Baseline source code for Wine Quality Classification Challenge

Baseline source code for Smoker Classification Challenge

Model for License Plate Recognition Challenge

QwQ-32B is a 32.5B-parameter causal reasoning model from the Qwen series, post-trained with supervised fine-tuning and reinforcement learning to think explicitly before answering. Despite its mid-range size, it delivers performance competitive with leading reasoning systems such as DeepSeek-R1 and o1-mini, particularly on hard math, coding, and multi-step problems. It supports a native 131,072-token context (with YaRN scaling for inputs beyond 8,192 tokens) and is best driven with non-greedy sampling (Temperature 0.6, TopP 0.95, TopK 20–40).

Model for Spaceship Titanic Prediction Challenge

Model for Melanoma Skin Cancer Classification Challenge

A large agentic model built for coding, tool use, search, and office work, reporting strong results on SWE-Bench Verified and other agentic benchmarks.

Qwen3-Coder-Next is an open-weight coding model from the Qwen team that activates just 3B of its 80B parameters per token, matching the performance of models 10–20× larger at a fraction of the inference cost. It pairs a hybrid Gated DeltaNet + Gated Attention MoE architecture with a native 262,144-token context, and is purpose-built for agentic coding tasks such as long-horizon reasoning, tool use, and failure recovery, with out-of-the-box support for Claude Code, Qwen Code, Qoder, Kilo, Trae, and Cline.

A character animation and replacement video model: give it one character image and a driving video, and it transfers full-body motion and facial expression onto your character in either animation or replacement mode.

A 32B instruction-tuned model from Ai2, built for reasoning, coding, and instruction-following, and released as a fully open model with public code, checkpoints, and training data.

Dataset for Wine Quality Classification Challenge

Dataset for Smoker Classification Challenge

Dataset for License Plate Recognition Challenge

Dataset for Spaceship Titanic Prediction Challenge

Dataset for Melanoma Skin Cancer Classification Challenge