Feature Extraction
cortiq
multilingual
cmf
embeddings
sentence-similarity
multimodal-embedding
image-feature-extraction
audio-feature-extraction
video-feature-extraction
matryoshka
quantized
Instructions to use infosave/EmbeddingGemma-2-cmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- cortiq
How to use infosave/EmbeddingGemma-2-cmf with cortiq:
# one Rust binary, no additional dependencies cargo install cortiq-cli # or a prebuilt binary from github.com/infosave2007/cmf/releases hf download infosave/EmbeddingGemma-2-cmf --include "*.cmf" --local-dir . ls *.cmf # some repos ship more than one quantization
cortiq run FILE.cmf --prompt "What is the capital of France?"
cortiq serve FILE.cmf --port 8080 # OpenAI-compatible server
- Notebooks
- Google Colab
- Kaggle
Commit History
12 days ago
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Add discoverability tags
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24 days ago
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Model card for cortiq 0.8.15
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Example inputs used on the model card
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Add embeddinggemma-2-q4tp.cmf (text tower q8_2f, vision MLPs and audio feed-forwards 4-bit, 647 MB)
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EmbeddingGemma 2 in CMF: q8_2f (default) and bf16
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initial commit
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