oj748/Phi-4-mini-instruct-Q4_K_M-GGUF overview
Phi 4 mini instruct Q4 K M GGUF This repository contains a GGUF Q4 K M quantized version of Microsoft's Phi 4 mini instruct model. Q4 K M Quantized version can…
Runs locally from ~2.32 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| phi4-Q4_K_M.gguf | GGUF | Q4_K_M | 2.32 GB | Download |
Model Details
Model README
---
license: mit
base_model: microsoft/Phi-4-mini-instruct
---
Phi-4-mini-instruct Q4_K_M GGUF
This repository contains a GGUF Q4_K_M quantized version of Microsoft's Phi-4-mini-instruct model.
Q4_K_M Quantized version can be downloaded here
The model was converted to the GGUF format and quantized using llama.cpp for local inference as part of my AI-Powered Learning Assistant project.
Base Model
The original model is Microsoft Phi-4-mini-instruct:
microsoft/Phi-4-mini-instruct
Original model: https://huggingface.co/microsoft/Phi-4-mini-instruct
This repository does not contain a model trained from scratch. It contains a converted and quantized version of the original Phi-4-mini-instruct model.
Quantization
- Format: GGUF
- Quantization: Q4_K_M
- Base model: Phi-4-mini-instruct
- Parameters: 3.8B
Using llama.cpp (https://github.com/ggml-org/llama.cpp) for quantization.
The Q4_K_M quantization was selected after testing different quantized versions of the model for local summarization, flashcard generation, and quiz generation.
It provided a suitable balance between generation quality, inference performance, and memory usage on the development hardware.
Intended Use
This quantized model was prepared for local inference in an AI-Powered Learning Assistant desktop application.
Within the project, the model is used for:
- Summarization of study material
- Flashcard generation
- Quiz generation
The model is executed locally using llama.cpp-compatible tooling.
Acknowledgements
The original Phi-4-mini-instruct model was developed by Microsoft.
Please refer to the original model repository and model card for model details, limitations, responsible AI considerations, and licensing information.
License
The base Phi-4-mini-instruct model is provided under the MIT License. Refer to the original Microsoft model repository for the complete license and usage information.
Run oj748/Phi-4-mini-instruct-Q4_K_M-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
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