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inclusionAI
/
LLaDA2.0-Uni-FP8

Any-to-Any
Transformers
Diffusers
Safetensors
English
llada2_moe
feature-extraction
multimodal
image-generation
image-understanding
image-editing
diffusion
Mixture of Experts
text-to-image
fp8
quantized
custom_code
Model card Files Files and versions
xet
Community

Instructions to use inclusionAI/LLaDA2.0-Uni-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use inclusionAI/LLaDA2.0-Uni-FP8 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("inclusionAI/LLaDA2.0-Uni-FP8", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LLaDA2.0-Uni-FP8 / decoder
6.16 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
HaoxingChen's picture
HaoxingChen
Delete decoder/decoder_model.safetensors
1aa0dab verified about 2 months ago
  • config.json
    500 Bytes
    upload model folder to repo about 2 months ago
  • model.safetensors
    6.16 GB
    xet
    update for SGLang support about 2 months ago