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- **Developed by:** johnnietien
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- **License:** apache-2.0
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- **Finetuned from model :**
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This is one of my first Reasoning model can have an “aha moment” same as DeepSeek’s R1. We've enhanced the entire GRPO process, making it use 80% less VRAM than Hugging Face + FA2. This allows you to reproduce R1-Zero's "aha moment" on just 7GB of VRAM using llama-3.2-1b. Please note, this isn’t fine-tuning DeepSeek’s R1 distilled models or using distilled data from R1 for tuning. This is converting a standard model into a full-fledged reasoning model using GRPO.
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- **Developed by:** johnnietien
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- **License:** apache-2.0
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- **Finetuned from model :** meta-llama/Llama-3.2-3B-Instruct
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This is one of my first Reasoning model can have an “aha moment” same as DeepSeek’s R1. We've enhanced the entire GRPO process, making it use 80% less VRAM than Hugging Face + FA2. This allows you to reproduce R1-Zero's "aha moment" on just 7GB of VRAM using llama-3.2-1b. Please note, this isn’t fine-tuning DeepSeek’s R1 distilled models or using distilled data from R1 for tuning. This is converting a standard model into a full-fledged reasoning model using GRPO.
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