Instructions to use Sagardxd/hippo-embeddinggemma-2-text-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Sagardxd/hippo-embeddinggemma-2-text-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Sagardxd/hippo-embeddinggemma-2-text-8bit --local-dir hippo-embeddinggemma-2-text-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
EmbeddingGemma 2 路 text encoder only 路 8-bit MLX
The text encoder of mlx-community/embeddinggemma-2-8bit
(revision 7505ef2f8ddef45efef6d060865f27989b3c9cec), on its own: about 290 MB instead of 1.2 GB.
It is what Hippo Dash downloads to search your memory by meaning,
running on your Mac with MLX.
Modified: only the language_model.* tensors were kept, byte for byte, re-packed into
model.safetensors; config.json has the image, audio and video encoders removed. Nothing was
re-quantized or retrained. Vectors are 768 floats (Matryoshka: 512, 256 and 128 also work).
License
Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms. Use of this model must also follow the Gemma Prohibited Use Policy.
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8-bit
Model tree for Sagardxd/hippo-embeddinggemma-2-text-8bit
Base model
google/embeddinggemma-2