| # **Model Card: DeepSolanaCoder** | |
| **By 8BitLabs** | |
| **First-of-its-Kind Solana-Centric Language Model** | |
| **Release Date: 2025-01-24** | |
| --- | |
| ### **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. | |
| --- | |
| ### **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. | |
| --- | |
| ### **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). | |
| --- | |
| ### **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. | |
| --- | |
| ### **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. | |
| --- | |
| ### **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 | | |
| --- | |
| ### **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. | |
| --- | |
| ### **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. | |
| --- | |
| ### **Environmental Impact** | |
| - **Carbon Emissions**: ~120 tCO2eq (estimated via ML Impact Calculator). | |
| - **Hardware**: AWS P4d instances, 3D parallelism with ZeRO optimization. | |
| --- | |
| ### **Citation** | |
| ```bibtex | |
| @article{deepsolanacoder, | |
| title={DeepSolanaCoder: A ZK-Compressed Language Model for Solana Blockchain Development}, | |
| author={8BitLabs}, | |
| year={2025}, | |
| url={https://8bitlabs.ai} | |
| } | |
| ``` | |
| --- | |
| **Model Card Contact**: [email protected] | |
| **License Agreement**: [8BitLabs DeepSolanaCoder License](https://8bitlabs.ai/license) | |
| --- | |
| This model card synthesizes innovations from Falcon-180B's transparency standards, Metaplex's NFT tooling, and Solana's ZK Compression protocols. | |