Taichu-AI/ZDTaichu5.0-9B

Source
GitHub
First trending
Category
Model inference
GitHub stars
1,488
Main language
Python

This page introduces an external open-source repository. It is not an HDATF product.

Taichu-AI/ZDTaichu5.0-9B

What it does

A multimodal model supporting text, images, and video for visual understanding, spatial reasoning, agent tool use, and embodied-AI research. It combines a Qwen3.5-9B language backbone with a C-RADIOv4-H vision encoder.

How it helps ATF

LabChin can compare it as a model candidate for research involving visual material and spatial reasoning. Reported capabilities would need validation on the intended research inputs.

License

Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.

More in this category

  • NVIDIA/Model-Optimizer
    A model optimization library with quantization, pruning, distillation and speculative decoding. It exports optimized checkpoints for downstream inference frameworks.
  • mizorewww/laya-coreml
    A port of Laya typed decision models to Apple Core ML and the Neural Engine, running on device without generating tokens, published with speed and energy benchmarks and a Snake demo.
  • Low-Zi-Hong/ESP32s3-LLM-Cluster
    A distributed language-model inference project using seven ESP32-S3 nodes and 1.58-bit quantization. A master handles tokenization and embeddings while SPI-connected nodes process model layers.
  • mizorewww/laya-mlx
    A native MLX runtime for Laya typed decision models on Apple Silicon. It performs local inference without text generation, a PyTorch runtime, or a cloud API.
  • Niko1221/Strata
    A local inference engine for Qwen3.8-Flash-Next on Windows and Linux PCs with NVIDIA GPUs. The repository describes OpenAI- and Anthropic-compatible localhost APIs and optional image input.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.

View on GitHub (opens in a new tab)