nomic-embed-text-v2-moe
Blog Technical Report AWS SageMaker Atlas Embedding and Unstructured Data Analytics Platform
Params
480 M
Context
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daily snapshots · 10 days1.6 M1.5 M
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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 | f32 | 1.9 GB | 2.7 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
- NomicBertModel
- Parameters
- 480 M
- Tensor type
- F32
- Vocabulary
- 250,048
- Licence
- apache-2.0
- First seen on the Hub
- 2025-02-07
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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