Any-to-Any
MLX
Safetensors
gemma4
mlx-vlm
rlcd
multimodal
classification
parallel-inference
image-text-to-text
audio
video
4-bit precision
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] hf download larkooo/gemma-e2b-rlcd --local-dir gemma-e2b-rlcd
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 425 Bytes
53e24ca f092803 53e24ca | 1 2 3 4 5 6 7 8 9 | include LICENSE THIRD_PARTY_NOTICES.md CONTRIBUTING.md requirements-tested.txt model-source.json
recursive-include docs *.md *.txt *.jpg *.mp4 *.json
recursive-include examples *.json *.jsonl *.txt
recursive-include reports *.md *.json
recursive-include scripts *.py
recursive-include tests *.py *.cjs
recursive-include gemma_rlcd/static *.html *.css *.js *.json *.jpg
global-exclude .DS_Store *.py[cod] *.safetensors *.gguf
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