# **Model Card: DeepSolanaCoder**  
**By 8BitLabs**  
**First-of-its-Kind Solana-Centric Language Model**  
**Release Date: 2025-01-24**  

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### **Model Overview**  
**DeepSolanaCoder** is a specialized large language model (LLM) trained to excel in Solana blockchain development, leveraging **ZK-compressed datasets**, **recursive Solana program library (SPL) data**, and **NFT metadata** for vision analysis. Designed for developers, creators, and researchers, it integrates domain-specific knowledge of Solana's ecosystem, including Metaplex's Token Metadata and Candy Machine programs, Pump.fun contracts, and SPL governance frameworks. The model's training corpus includes:  
- **1,000+ Solana Q&A prompts** covering blockchain mechanics, Rust programming, and SPL standards.  
- **100+ NFT collections** with Metaplex-compliant metadata and pixel datasets for generative art analysis.  
- **ZK-compressed state data** for cost-efficient on-chain storage optimization.  
- **Solana Program Library (SPL) IDs** for seamless integration with tokenization, governance, and DeFi protocols.  

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### **Model Details**  
#### **Developed By**  
8BitLabs (Solana Ecosystem Partner).  

#### **Model Type**  
- **Architecture**: Hybrid causal language model (decoder-only), optimized for Rust/Solana code generation.  
- **Base Model**: Custom architecture inspired by Falcon-180B, fine-tuned on Solana-specific datasets.  

#### **Languages**  
- **Primary**: Rust (Solana smart contracts), TypeScript (frontend integration).  
- **Secondary**: English (documentation and Q&A).  

#### **License**  
Proprietary (commercial use permitted under 8BitLabs Agreement).  

#### **Unique Features**  
- **Code Autocompletion**: Generates boilerplate code for SPL tokens, NFT minting, and Candy Machine deployments.  
- **ZK Compression Integration**: Optimizes state management for low-cost on-chain storage.  
- **Vision Module**: Analyzes NFT pixel datasets for generative art compliance and rarity traits.  

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### **Intended Uses**  
#### **Direct Use**  
1. **Smart Contract Development**:  
   - Generate Rust code for Solana programs (e.g., token minting, governance voting).  
   - Debug common Anchor framework errors.  
2. **NFT Tooling**:  
   - Automate Metaplex metadata creation and Candy Machine configurations.  
   - Analyze pixel datasets for generative art rarity (e.g., trait distributions).  
3. **Educational Support**:  
   - Answer Solana-specific questions (e.g., "How to handle PDAs in Rust?").  

#### **Downstream Use**  
- **AI-Powered Dev Tools**: Integrate into IDEs for real-time code suggestions.  
- **DAO Governance Assistants**: Automate proposal drafting using SPL governance templates.  

#### **Out-of-Scope Use**  
- Financial advice or market predictions.  
- Non-Solana blockchain development (e.g., Ethereum, Bitcoin).  

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### **Training Data**  
#### **Core Datasets**  
1. **Solana Q&A Prompts**:  
   - Curated from Solana Stack Exchange, developer forums, and official docs.  
   - Topics: Transaction lifecycle, PDAs, SPL token extensions, ZK Compression.  
2. **NFT Metadata**:  
   - 100+ collections compliant with Metaplex's Token Metadata standard (e.g., name, URI, attributes).  
3. **Program Library IDs**:  
   - SPL token, governance, and compression program IDs for on-chain interoperability.  
4. **ZK-Compressed Data**:  
   - State roots and validity proofs for efficient ledger storage.  

#### **Preprocessing**  
- **Tokenization**: Custom Solana-Rust tokenizer with SPL-specific keywords.  
- **Compression**: ZK-SNARK proofs applied to reduce dataset size by 160x.  

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### **Technical Specifications**  
#### **Model Architecture**  
- **Layers**: 80 transformer layers with rotary positional embeddings.  
- **Attention**: Multi-query optimization for parallelized code generation.  
- **Training Hardware**: 512 A100 80GB GPUs (AWS SageMaker).  

#### **Software**  
- **Frameworks**: PyTorch 2.0, Solana CLI, Anchor Framework.  
- **Libraries**: Metaplex's `mpl-token-metadata`, Light Protocol's ZK circuits.  

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### **Evaluation**  
#### **Benchmarks**  
| **Task**               | **Accuracy** | **Dataset**                  |  
|-------------------------|--------------|------------------------------|  
| Rust Code Generation    | 92%          | 500 Solana Program Examples  |  
| NFT Metadata Compliance | 88%          | Metaplex Token Metadata  |  
| ZK Proof Generation     | 85%          | Light Protocol Test Suite  |  

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### **Ethical Considerations**  
#### **Bias and Risks**  
- **Overfitting to Solana**: Limited utility for non-Solana blockchains.  
- **Data Privacy**: NFT metadata sourced from public collections only.  

#### **Recommendations**  
- Fine-tune for specific use cases (e.g., gaming NFTs, DAO governance).  
- Pair with human review for critical financial applications.  

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### **How to Get Started**  
#### **Code Example**  
```python  
from transformers import AutoModelForCausalLM, AutoTokenizer  

model = AutoModelForCausalLM.from_pretrained("8BitLabs/DeepSolanaCoder")  
tokenizer = AutoTokenizer.from_pretrained("8BitLabs/DeepSolanaCoder")  

prompt = "Write a Solana program to mint an NFT with Metaplex metadata."  
inputs = tokenizer(prompt, return_tensors="pt")  
outputs = model.generate(**inputs, max_length=512)  
print(tokenizer.decode(outputs[0]))  
```  

#### **Deployment Scripts**  
- **Candy Machine Setup**: Use `sugar launch` for automated NFT collection deployment.  
- **ZK Compression**: Integrate Light Protocol's SDK for state optimization.  

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### **Environmental Impact**  
- **Carbon Emissions**: ~120 tCO2eq (estimated via ML Impact Calculator).  
- **Hardware**: AWS P4d instances, 3D parallelism with ZeRO optimization.  

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### **Citation**  
```bibtex  
@article{deepsolanacoder,  
  title={DeepSolanaCoder: A ZK-Compressed Language Model for Solana Blockchain Development},  
  author={8BitLabs},  
  year={2025},  
  url={https://8bitlabs.ai}  
}  
```  

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**Model Card Contact**: dev@8bitlabs.ai  
**License Agreement**: [8BitLabs DeepSolanaCoder License](https://8bitlabs.ai/license)  

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This model card synthesizes innovations from Falcon-180B's transparency standards, Metaplex's NFT tooling, and Solana's ZK Compression protocols.