The Solana Vanguard Challenge dataset, comprising 1,000 diverse and in-depth questions, offers full-spectrum coverage of the Solana ecosystem. It spans fundamental blockchain concepts, advanced on-chain programming in Rust and the Anchor framework, client-side integration in TypeScript, detailed security strategies, and performance as well as regulatory considerations.

NextCoder Mirage SOL 7B is in active development with additional fine-tuning sessions, & benchmark statistics coming soon!

Provided Quants

Link	Type	Size/GB	Notes
GGUF	Q4_K_S	2.3	fast, recommended
GGUF	Q5_K_S	2.8	fast, recommended
GGUF	Q6_K	3.1	very good quality
GGUF	Q8_0	4.0	fast, best quality
GGUF	F16	7.7	16 bpw, highest quality

Training Session:

Time: 9 hours & 56 minutes
GPU: NVIDIA GeForce RTX 3090
Batches: 500
Context-Size: 2043
Batch-size: 1
Learning-rate: 2e-5
Training-loss: 1.09
Eval-loss: 0.89

Dataset Composition

Total Questions: 1,000
Languages Covered:
- Rust: On-chain smart contract development, security best practices, advanced state management, CPIs, PDAs, and more.
- TypeScript: Client-side integration using @solana/web3.js, wallet adapters, Metaplex for NFT protocols, dynamic transaction composition, and front-end dApp development.
Planned Extensions:
- C# (Solnet): To be integrated later for .NET ecosystem coverage.

Bifrost-AI/NextCoder-Mirage-sol-7B-GGUF

NextCoder Mirage SOL 7B

This fine-tuned variant of the NextCoder 7B model was supervised fine-tuned on blockchain-specific datasets(Bifrost-AI/Solana-Vanguard-Challenge), optimized for downstream tasks in blockchain coding and smart contract development on the Solana ecosystem.

Provided Quants

Training Session:

Dataset Composition

Bifrost-AI/
NextCoder-Mirage-sol-7B-GGUF