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--- |
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base_model: Pinkstack/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM |
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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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- qwen2 |
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- gguf |
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- Reasoning |
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- o1 |
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- qwq |
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license: apache-2.0 |
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language: |
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- en |
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- zh |
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pipeline_tag: text-generation |
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--- |
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![PARM-2.png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/9wMB_c4WmaJR91f-ybFJl.png) |
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We are proud to announce, our new high quality flagship model series - ***PARM2***, Very high quality reasoning, math and coding abilities for a small size, that **anyone** can run on their device for free. |
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🧀 Which quant is right for you? |
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- ***Q4:*** This model should be used on edge devices like high end phones or laptops due to its very compact size, quality is okay but fully usable. |
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- ***Q8:*** This model should be used on most high end modern devices like rtx 3080, Responses are very high quality, but its slightly slower than Q4. |
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*other formats were not included as Q4,Q8 have the best performance, quality.* |
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This Parm v2 is based on Qwen 2.5 3B which has gotten many extra reasoning training parameters so it would have similar outputs to qwen QwQ / O.1 mini (only much, smaller.). We've trained it using the datasets [here](https://huggingface.co/collections/Pinkstackorg/pram-v2-67612d3c542b9121bf15891c) |
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if you benchmarked this model let me know |
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This is a pretty lite model which can be run on high end phones pretty quickly using the q4 quant. |
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# Passes "strawberry" test! (Q8 w/ msty & rtx 3080 10gb) ✅ |
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![strawberry-test.png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/GQn5NqHn9GxdRyJtcIRAn.png) |
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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 options: |
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efficient & accurate, answers stawberry text correctly 90% of the time. |
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``` |
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{{ if .System }}<|system|> |
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{{ .System }}<|im_end|> |
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{{ end }}{{ if .Prompt }}<|user|> |
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{{ .Prompt }}<|im_end|> |
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{{ end }}<|assistant|> |
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{{ .Response }}<|im_end|> |
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``` |
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Or if you are using an anti prompt: <|im_end|> |
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Highly recommended to use with a system prompt. eg; |
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You are a helpful assistant named Parm2 by Pinkstack. think step-by-step for complex stuff, use COT if neeed. |
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# Uploaded model |
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- **Developed by:** Pinkstack |
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- **License:** apache-2.0 |
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- **Finetuned from model :** Pinkstack/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM |
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![Pinkstack.png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/2xMulpuSlZ3C1vpGgsAYi.png) |
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This AI model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |