---
license: mit
license_link: https://huggingface.co/rhysjones/Phi-3-mini-mango-1/resolve/main/LICENSE

language:
- en
pipeline_tag: text-generation
tags:
- nlp
- code
widget:
  - messages:
      - role: user
        content: Can you provide ways to eat combinations of bananas and dragonfruits?
---

## Model Summary

The Phi-3-mini-4k-mango-2 is a finetune of [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) with 4K context and 3.8B parameters.

It is a continuaton of finetuning Phi-3 (which is a great model!) to explore its properties and behaviour. More to follow.

This version of the model has had its weight layers converted to Mistral format, allowing it to run within a Mistral toolset ecosystem without change or trust_remote_code.
It seems to offer better performance than the eqivalent conversion to Llama format, which could be of interest to those using finetune toolsets yet to encompass the phi-3 model.

The process was first to convert the model weight names and config to Mistral, followed by a finetune of those weights.