embeddinggemma-2
Hugging Face GitHub Launch Blog Documentation Technical Report License: Apache 2.0 Authors: Google DeepMind
Params
744 M
Context
—
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Download history
daily snapshots · 9 days507 K388 K
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 1.5 GB | 2.2 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- EmbeddingGemma2Model
- Parameters
- 744 M
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2026-09-14
- Training datasets
- undisclosed
- Added to our catalog
- 2026-11-02
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any feature-extraction model