---
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 (not nice)

Q_3 (acceptable)

Q_4 family is recommanded (good for running with CPU as well)

Q_5 (good in general)

Q_6 is good also; if you want a better result; take this one instead of Q_5

Q_8 which is very good; need a reasonable size of RAM otherwise you might expect a long wait

16-bit and 32-bit are also provided here for research perspectives; since the file size (16bit) 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