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. Qwen3 Bifrost SOL 4B is in active development with additional fine-tuning sessions, & benchmark statistics coming soon! — Time: 11 hours & 22 minutes — GPU: NVIDIA GeForce RTX 3090 — Batches: 1000 — Context-Size: 2098 — Batch-size: 1 — Learning-rate: 2e-5 — Training-loss: 1.06 — Eval-loss: 0.81 — Total Questions: 1,000 — Languages Covered: — Rust: On-chain smart contract development, security best practices, advanced state management, CPIs, PDAs, and more. INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED BUT SOME MAY HAVE NO CONTENT
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат Финансы
Задача: Генерация текста
Автор: Bifrost-AI
Теги: qwen3, code, finance, chat, large-language-model, conversational, en, text-generation-inference
Лайков: 4 | Загрузок: 13
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
