Excited to share another great project built on Fluence! 
Fine-tuning DeepSeek-R1 for Smart Contract Security by Nishant Pandav.▫️Nishant fine-tuned DeepSeek-R1-Distill-Qwen-7B for smart contract vulnerability detection using GRPO + LoRA on a single A100 80GB.
▫️ The biggest gain was vulnerable vs clean classification and structured output reliability, improving first-pass screening and integration.
▫️ Fine-grained diagnosis lags, DASP categorization improved modestly, and SWC identification remains weak, limiting audit reliability.
▫️ Training charts show the model learned format compliance faster than security reasoning, improving usability before trustworthiness.
▫️ The Hugging Face release makes the model testable, check out here.
▫️ Built on Fluence GPU for just $30.97, this makes it a strong low-cost task-specific model prototype
📂 Repo on Github
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