Crypto-Expert LLM

Model Description

This model is a fine-tuned version of Qwen-7B, specifically optimized for cryptocurrency, Web3, and DeFi-related tasks. It is designed to provide specialized knowledge and decision ability while maintaining computational efficiency.

Supported Tasks

  • Cryptocurrency and DeFi concepts explanation
  • Smart contract analysis and auditing guidance
  • Trading strategy discussions
  • AMM (Automated Market Maker) mechanics
  • MEV (Maximal Extractable Value) analysis
  • Web3 development assistance (Rust, Python)
  • Decentralized infrastructure (IPFS, libp2p)

Training Data

The model is fine-tuned on specialized crypto and web3 prompts. Training data should be placed in the ./json/ directory in JSONL format.

Performance and Limitations

The model is optimized for:

  • Reduced resource consumption compared to larger models
  • Domain-specific accuracy in crypto/Web3 contexts
  • Cost-effective deployment

Note: Specific performance metrics will be added after training evaluation.

Intended Use

This model is designed for:

  • Developers working on Web3 projects
  • DeFi researchers and analysts
  • Cryptocurrency protocol designers
  • Smart contract developers
  • Blockchain infrastructure engineers

Ethical Considerations

Users should:

  • Verify all financial advice independently
  • Be aware of data privacy when using the model
  • Understand the model's limitations in real-time market analysis
  • Follow appropriate licensing requirements for training data
Downloads last month
96
Safetensors
Model size
7.62B params
Tensor type
FP16
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.