MiniCPM-V-4.6
A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone
Params
1.3 B
Context
—
Downloads 30d
942 K
Likes
1,174
Download history
daily snapshots · 10 days943 K898 K
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 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 2.6 GB | 3.6 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
- MiniCPMV4_6ForConditionalGeneration
- Parameters
- 1.3 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2026-04-13
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.