embeddinggemma-300m
Params
300 M
Context
—
Downloads 30d
2.6 M
Likes
1,925
Download history
daily snapshots · 55 days
▲ 2 K in the last 30 days (0.1%)
2.7 M2.1 M
Aug 22Sep 1Sep 11Sep 20
2.7 M1.9 M
Jul 28Aug 15Sep 2Sep 20
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 | f32 | 1.2 GB | 1.9 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
- Gemma3TextModel
- Parameters
- 300 M
- Tensor type
- F32
- Licence
- gemma
- First seen on the Hub
- 2025-07-17
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any sentence-similarity model