Phi-4-multimodal-instruct
🎉Phi-4: [mini-reasoning reasoning] [multimodal-instruct onnx]; [mini-instruct onnx]
Params
5.6 B
Context
131,072
Downloads 30d
572 K
Likes
1,610
Download history
daily snapshots · 10 days572 K539 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 | 12.8 GB | 15.4 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 12.8 GB | 28.0 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
- Phi4MMForCausalLM
- Parameters
- 5.6 B
- Tensor type
- BF16
- Context length
- 131,072
- Vocabulary
- 200,064
- Layers / heads
- 32 / 24
- Licence
- mit
- First seen on the Hub
- 2025-02-24
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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