DeepSeek-OCR
π Github π₯ Model Download π Paper Link π Arxiv Paper Link DeepSeek-OCR: Contexts Optical Compression Explore the boundaries of visual-text compression.
Params
3.3 B
Context
8,192
Downloads 30d
2.3 M
Likes
3,333
Download history
daily snapshots Β· 10 days2.5 M2.3 M
Jul 28Jul 31Aug 3Aug 6
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 Β· 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 6.7 GB | 8.3 GB | β Runs comfortably |
Estimate: file size Γ 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark β how we calculate this.
Specifications
- Architecture
- DeepseekOCRForCausalLM
- Parameters
- 3.3 B
- Tensor type
- BF16
- Context length
- 8,192
- Vocabulary
- 129,280
- Layers / heads
- 12 / 10
- Licence
- mit
- First seen on the Hub
- 2025-10-17
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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