Gopichand0516/smart-contract-audit-rl-model
The Gopichand0516/smart-contract-audit-rl-model is a 1.5 billion parameter Qwen2.5 instruction-tuned causal language model developed by Gopichand0516. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It features a 32768 token context length and is optimized for specific applications, likely related to smart contract auditing given its name.
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Model Overview
The Gopichand0516/smart-contract-audit-rl-model is a 1.5 billion parameter Qwen2.5 instruction-tuned language model. Developed by Gopichand0516, this model was fine-tuned from unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Qwen2.5 instruction-tuned model.
- Parameter Count: 1.5 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Released under the Apache-2.0 license.
Potential Use Cases
While the README does not explicitly detail specific use cases, the model's name, "smart-contract-audit-rl-model," strongly suggests its primary application is in the domain of smart contract auditing. Its instruction-tuned nature and substantial context length could make it suitable for:
- Analyzing smart contract code for vulnerabilities.
- Assisting in the generation of audit reports.
- Understanding and explaining complex smart contract logic.