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larkooo
/
gemma-e2b-rlcd

Any-to-Any
MLX
Safetensors
gemma4
mlx-vlm
rlcd
multimodal
classification
parallel-inference
image-text-to-text
audio
video
4-bit precision
Model card Files Files and versions
xet
Community

Instructions to use larkooo/gemma-e2b-rlcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use larkooo/gemma-e2b-rlcd with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir gemma-e2b-rlcd larkooo/gemma-e2b-rlcd
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
gemma-e2b-rlcd / examples
172 kB
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  • 1 contributor
History: 1 commit
larkooo's picture
larkooo
Publish Gemma E2B RLCD with multimodal checkpoint and parallel scoring
53e24ca verified 3 days ago
  • head-pilot
    Publish Gemma E2B RLCD with multimodal checkpoint and parallel scoring 3 days ago
  • UPSTREAM-APACHE-2.0.txt
    11.4 kB
    Publish Gemma E2B RLCD with multimodal checkpoint and parallel scoring 3 days ago
  • demo-workloads.json
    89.8 kB
    Publish Gemma E2B RLCD with multimodal checkpoint and parallel scoring 3 days ago
  • text-result.json
    2.17 kB
    Publish Gemma E2B RLCD with multimodal checkpoint and parallel scoring 3 days ago
  • text.json
    471 Bytes
    Publish Gemma E2B RLCD with multimodal checkpoint and parallel scoring 3 days ago