Phi-4-mini-instruct-Q3_K_M-GGUF

Phi-4-mini-instruct – Q3_K_M GGUF

GGUF quantized conversion of Microsoft Phi-4-mini-instruct, optimized for local inference using llama.cpp–compatible runtimes.

This repository provides a compressed version of the original safetensors model to enable efficient CPU and GPU inference with reduced memory requirements.

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Model Details

Model Description

This is a post-training quantization of Phi-4-mini-instruct converted from the original safetensors weights to GGUF format and quantized using the Q3_K_M method.

• Developed by (base model): Microsoft
• Quantized by: Community conversion
• Model type: Large Language Model (LLM) – Instruct
• Language(s): English (multilingual capability depends on base model)
• License: MIT (inherits from base model)
• Finetuned from: microsoft/Phi-4-mini-instruct

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Quantization Details

Quantization pipeline:

Safetensors → F16 GGUF → Q3_K_M quantization

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Intended Uses

Direct Use

• Local chat assistants
• Instruction following
• Text generation
• Offline inference
• RAG pipelines

Downstream Use

• Fine-tuning via LoRA / QLoRA (external tooling)
• Integration in chat UIs
• Agent frameworks

Out-of-Scope Use

• Safety-critical systems
• Legal / medical decision making
• Real-time autonomous control

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How to Get Started

llama.cpp