---
license: mit
language:
- en
base_model:
- microsoft/Phi-3-mini-128k-instruct
pipeline_tag: text-generation
---

## GGUF quantized version of Phi-3 Model (128k-instruct mini)

project original [source](https://huggingface.co./microsoft/Phi-3-mini-128k-instruct) (base model)

Q_2_K (not nice)

Q_3_K_M (acceptable)

Q_4_K_M is recommanded (good for running with CPU as well)

Q_5_K_M (good in general)

Q_6_K is good also; if you want a better result; take this one instead of Q_5_K_M

Q_8_0 which is very good; need a reasonable size of RAM otherwise you might expect a long wait

16-bit and 32-bit are not provided here (we changed our mind; for research perspectives, all quantized GGUFs should be provided for doing a holistic comparison; that's what we are doing so); since the file size is similar to the original safetensors; once you have a GPU, go ahead with the safetensors, pretty much the same

### how to run it

use any connector for interacting with gguf; i.e., [gguf-connector](https://pypi.org/project/gguf-connector/)

welcome to ai era