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--- |
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language: en |
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tags: |
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- crypto |
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- web3 |
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- defi |
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- deepseek |
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- fine-tuning |
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license: mit |
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--- |
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# Crypto-Expert LLM |
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## Model Description |
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This model is a fine-tuned version of `Qwen-7B`, specifically optimized for cryptocurrency, Web3, and DeFi-related tasks. |
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It is designed to provide specialized knowledge and decision ability while maintaining computational efficiency. |
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### Supported Tasks |
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- Cryptocurrency and DeFi concepts explanation |
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- Smart contract analysis and auditing guidance |
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- Trading strategy discussions |
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- AMM (Automated Market Maker) mechanics |
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- MEV (Maximal Extractable Value) analysis |
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- Web3 development assistance (Rust, Python) |
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- Decentralized infrastructure (IPFS, libp2p) |
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## Training Data |
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The model is fine-tuned on specialized crypto and web3 prompts. Training data should be placed in the `./json/` directory in JSONL format. |
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## Performance and Limitations |
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The model is optimized for: |
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- Reduced resource consumption compared to larger models |
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- Domain-specific accuracy in crypto/Web3 contexts |
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- Cost-effective deployment |
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Note: Specific performance metrics will be added after training evaluation. |
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## Intended Use |
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This model is designed for: |
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- Developers working on Web3 projects |
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- DeFi researchers and analysts |
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- Cryptocurrency protocol designers |
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- Smart contract developers |
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- Blockchain infrastructure engineers |
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## Ethical Considerations |
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Users should: |
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- Verify all financial advice independently |
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- Be aware of data privacy when using the model |
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- Understand the model's limitations in real-time market analysis |
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- Follow appropriate licensing requirements for training data |
