---
tags:
- text-generation-inference
- transformers
- unsloth
- gguf
- reasoning
license: apache-2.0
language:
- en
pipeline_tag: text-generation
---

# Information
## Here are things you should be aware of when using PARM models (Pinkstack Accuracy Reasoning Models) 🧀

This PARM is based on Phi 3.5 mini which has gotten extra training parameters so it would have similar outputs to O.1 Mini, We trained with [this](https://huggingface.co/datasets/gghfez/QwQ-LongCoT-130K-cleaned) dataset.

To use this model, you must use a service which supports the GGUF file format.
Additionaly, this is the Prompt Template, it uses the Phi-3 template.

{{ if .System }}<|system|>
{{ .System }}<|end|>
{{ end }}{{ if .Prompt }}<|user|>
{{ .Prompt }}<|end|>
{{ end }}<|assistant|>
{{ .Response }}<|end|>

Highly recommended to be used with a system prompt. 

This model has been tested inside of MSTY. with 8,192 Max token output and 32,000 Context. Less context is completly fine too but it does like to use a lot of tokens for reasoning. 

- **Developed by:** Pinkstack
- **License:** apache-2.0
- **Finetuned from model :** unsloth/phi-3.5-mini-instruct-bnb-4bit

This llama model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

Used this model? Don't forget to leave a like :)

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)