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--- |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- gguf |
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- reasoning |
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- Qwen2 |
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- Qwen |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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new_version: Pinkstack/PARM-V2-QwQ-Qwen-2.5-o1-3B-GGUF |
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--- |
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# π§ New Parm version of this model, that is higher quality: https://huggingface.co/Pinkstack/PARM-V2-QwQ-Qwen-2.5-o1-3B-GGUF |
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![BY_PINKSTACK.png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/2xMulpuSlZ3C1vpGgsAYi.png) |
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# π§ Which quant is right for you? |
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- ***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. |
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- ***Q6:*** This model should be used on most medium range devices like a gtx 1650, good quality and fast responses. |
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- ***Q8:*** This model should be used on most modern devices Responses are very high quality, but its slower than q6 |
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## Things you should be aware of when using PARM models (Pinkstack Accuracy Reasoning Models) π§ |
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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. |
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it is designed to run on any device, from your phone to high-end PC. |
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To use this model, you must use a service which supports the GGUF file format. |
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Additionaly, this is the Prompt Template, it uses the qwen2 template. |
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``` |
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{{ if .System }}<|system|> |
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{{ .System }}<|end|> |
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{{ end }}{{ if .Prompt }}<|user|> |
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{{ .Prompt }}<|end|> |
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{{ end }}<|assistant|> |
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{{ .Response }}<|end|> |
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``` |
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Or if you are using an anti prompt: <|end|><|assistant|> |
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Highly recommended to use with a system prompt. |
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# Extra information |
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- **Developed by:** Pinkstack |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/qwen2.5-3b-instruct-bnb-4bit |
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This model was trained using [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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Used this model? Don't forget to leave a like :) |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |