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OrcaRouter's Qwen3.8 Flash research checkpoint, converted to a compact expert format for AMD Strix Halo and the native CIRU v5 runtime. **The original Orca version remains available through its existing download parts and assembly helper.** The v5.0 GGUF is an additional, versioned choice. Both versions use Orca's matching Q8 multi-token prediction (MTP) draft, the required paged token-embedding files, and the matching Orca vision projector. > [!IMPORTANT] > The compact expert format needs the matching CIRU runtime. Stock llama.cpp > and Hugging Face hosted inference do not load it. Keep the required `ple/` > token-embedding files on fast local storage. Runtime **v5.5.0** retains the v5 model and runtime features, adding the corrected concurrent MTP/attention paths and post-image memory-pressure fix. The existing v5.0 weights are unchanged. The default remains **one slot, 262,144 context tokens, MTP4**, with a 16,384-token batch and an **8,192-token microbatch**.

Visual QA
Input Text · Image→ Output Text
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Multiplier of 0.9 - 1.1 works well on SDXL base. Simple prompts tend to work well. No trigger word needed. Special thanks to Huggingface for the GPU grant.

Image generation
Input Text→ Output Image
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Text generation
Input Text→ Output Text
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JoyVASA

jdh-algo

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Video generation
Input Image→ Output Video
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JoyAI-Image-Edit Awakening Spatial Intelligence in Unified Multimodal Understanding and Generation JoyAI-Image-Edit is a multimodal foundation model specialized in instruction-guided image editing. It enables precise and controllable edits by leveraging strong spatial understanding, including scene parsing, relational grounding, and instruction decomposition, allowing complex modifications to be applied accurately to specified regions. Note: JoyImageEditPipeline will be included in the next official diffusers release (>0.38.0). Until then, install from source as shown above.

Image editing
Input Image→ Output Image
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JoyAI-Video-Edit

jdopensource

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