Auto Regressive Thinker (Art) v0 3B
Art v0 3B is our inaugural model in the Art series, fine-tuned from Qwen/Qwen2.5-3B-Instruct using a specialized dataset generated with Gemini 2.0 Flash Thinking. Read more about the Art series
Model Details
- Base Model: Qwen2.5-3B-Instruct
- Architecture: Transformer
- Size: 3B parameters
Usage
The model incorporates a reasoning mechanism using specific tags:
<|start_reasoning|> model's reasoning process <|end_reasoning|> model's response
Recommendations
- Use the model without quantization
- Use the tokenizer chat template
- Use a low temperature 0.1-0.3 and repetition_penalty of 1.1
Training Details
This experimental model was trained on a curated dataset generated using Gemini 2.0 Flash Thinking. Detailed training methodology, dataset, and code are available exclusively to our community members.
About Us
We are a community-funded AI research lab focused on advancing open-source AGI development. Our community members support us through Patreon donations.
Community Access
Our supporters get exclusive access to:
- Training dataset
- Training code and methodology
- Behind-the-scenes development insights
- Future model previews
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