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Pieces/
embeddinggemma-300m-distilled-depth33pct-40-768dim-step72000

Name: embeddinggemma-300m-distilled-depth33pct-40-768dim-step72000
Availability: InStock

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Distilled Backbone: embeddinggemma-300m-distilled-768dim

This is a distilled/compressed version of google/embeddinggemma-300m.

Compression Details

Base model: google/embeddinggemma-300m
Width reduction factor: None
Target hidden size: None
Final embedding dimension: 768
Had projection layer: False
Projection incorporated: False

Usage

To use this as a pretrained backbone in validation:

bash

python -m playground.validate_from_checkpoint \
    --pretrained_backbone_model "Pieces/embeddinggemma-300m-distilled-depth33pct-40-768dim-step72000" \
    --backbone_embedding_dim 768 \
    --backbone_pooling_mode "mean" \
    --num_samples 100 \
    --dataset_split "val" \
    --num_general_tags_high 100 \
    --num_general_tags_low 100

Important: The path must point to the sentence_transformer subdirectory (not the parent directory).

The exported model has been configured to output embeddings of dimension 768 directly, incorporating any projection layers from the distillation process.