nomic-embed-code
Blog Technical Report AWS SageMaker Atlas Embedding and Unstructured Data Analytics Platform
Params
7.1 B
Context
32,768
Downloads 30d
472 K
Likes
124
Download history
daily snapshots · 31 days
▲ 61 K in the last 30 days (14.7%)
474 K391 K
Aug 22Sep 1Sep 11Sep 20
474 K391 K
Aug 21Aug 31Sep 10Sep 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 | 28.3 GB | 32.7 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 28.3 GB | 35.9 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen2Model
- Parameters
- 7.1 B
- Tensor type
- F32
- Context length
- 32,768
- Vocabulary
- 152,064
- Layers / heads
- 28 / 28
- Licence
- apache-2.0
- First seen on the Hub
- 2025-03-24
- Base model
- Qwen2.5-Coder-7B-Instruct
- Training datasets
- nomic-ai/cornstack-python-v1, nomic-ai/cornstack-javascript-v1, nomic-ai/cornstack-java-v1, nomic-ai/cornstack-go-v1, nomic-ai/cornstack-php-v1, nomic-ai/cornstack-ruby-v1
- Added to our catalog
- 2026-08-21
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any sentence-similarity model