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---
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 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 |