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README.md

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+---
+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
+```