---
tags:
- text-generation-inference
- transformers
- unsloth
- gguf
- reasoning
- Qwen2
- Qwen
license: apache-2.0
language:
- en
pipeline_tag: text-generation
new_version: Pinkstack/PARM-V2-QwQ-Qwen-2.5-o1-3B-GGUF
---

# 🧀 New Parm version of this model, that is higher quality: https://huggingface.co/Pinkstack/PARM-V2-QwQ-Qwen-2.5-o1-3B-GGUF

![BY_PINKSTACK.png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/2xMulpuSlZ3C1vpGgsAYi.png)

# 🧀 Which quant is right for you? 

- ***Q4:*** This model should be used on edge devices like phones or older laptops due to its very compact size, quality is okay but fully usable. 
- ***Q6:*** This model should be used on most medium range devices like a gtx 1650, good quality and fast responses. 
- ***Q8:*** This model should be used on most modern devices Responses are very high quality, but its slower than q6

## Things you should be aware of when using PARM models (Pinkstack Accuracy Reasoning Models) 🧀

This PARM is based on Qwen 2.5 3B which has gotten extra reasoning training parameters so it would have similar outputs to qwen QwQ / O.1 mini (only much, smaller.), We trained using [this](https://huggingface.co/datasets/gghfez/QwQ-LongCoT-130K-cleaned) dataset.
it is designed to run on any device, from your phone to high-end PC. 


To use this model, you must use a service which supports the GGUF file format.
Additionaly, this is the Prompt Template, it uses the qwen2 template.
```
{{ if .System }}<|system|>
{{ .System }}<|end|>
{{ end }}{{ if .Prompt }}<|user|>
{{ .Prompt }}<|end|>
{{ end }}<|assistant|>
{{ .Response }}<|end|>
```

Or if you are using an anti prompt: <|end|><|assistant|> 

Highly recommended to use with a system prompt. 

# Extra information
- **Developed by:** Pinkstack
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen2.5-3b-instruct-bnb-4bit

This model was trained using [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)