---
license: mit
language:
- en
tags:
- multimodal
- vision-language
- reasoning
- math
- ocr
- gui-grounding
- computer-use
- chain-of-thought
- llama-cpp
- gguf-my-repo
base_model: microsoft/Phi-4-reasoning-vision-15B
pipeline_tag: image-text-to-text
model-index:
- name: Phi-4-Reasoning-Vision-15B
  results:
  - task:
      type: visual-question-answering
    dataset:
      name: AI2D
      type: ai2d
    metrics:
    - type: accuracy
      value: 84.8
  - task:
      type: visual-question-answering
    dataset:
      name: ChartQA
      type: chartqa
    metrics:
    - type: accuracy
      value: 83.3
  - task:
      type: visual-question-answering
    dataset:
      name: MathVista (MINI)
      type: mathvista
    metrics:
    - type: accuracy
      value: 75.2
  - task:
      type: visual-question-answering
    dataset:
      name: MMMU
      type: mmmu
    metrics:
    - type: accuracy
      value: 54.3
  - task:
      type: visual-question-answering
    dataset:
      name: OCRBench
      type: ocrbench
    metrics:
    - type: accuracy
      value: 76.0
  - task:
      type: visual-question-answering
    dataset:
      name: ScreenSpot-V2
      type: screenspot-v2
    metrics:
    - type: accuracy
      value: 88.2
---

# gaoqianshen/Phi-4-reasoning-vision-15B-Q8_0-GGUF
This model was converted to GGUF format from [`microsoft/Phi-4-reasoning-vision-15B`](https://huggingface.co/microsoft/Phi-4-reasoning-vision-15B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/microsoft/Phi-4-reasoning-vision-15B) for more details on the model.

## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo gaoqianshen/Phi-4-reasoning-vision-15B-Q8_0-GGUF --hf-file phi-4-reasoning-vision-15b-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo gaoqianshen/Phi-4-reasoning-vision-15B-Q8_0-GGUF --hf-file phi-4-reasoning-vision-15b-q8_0.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo gaoqianshen/Phi-4-reasoning-vision-15B-Q8_0-GGUF --hf-file phi-4-reasoning-vision-15b-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo gaoqianshen/Phi-4-reasoning-vision-15B-Q8_0-GGUF --hf-file phi-4-reasoning-vision-15b-q8_0.gguf -c 2048
```