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✔️ Jan-nano от Menlo Research — модель на базе Qwen3 всего на 4B параметров, созданная для Deep Research.

📊 На SimpleQA (agentic / MCP) — Jan-nano набирает 80.7.

Это очень серьёзный результат для модели такого размера!

Модель работает через Jan — open-source альтернативу ChatGPT, которая запускается локально.

Она заточена и оптимизирована для интеграции с Model Context Protocol (MCP).

🔍 Jan-nano — ещё один пример того, как компактные модели могут конкурировать с большими моделями благодаря обучению и агентной архитектуре.

HF: https://huggingface.co/Menlo/Jan-nano

@ai_machinelearning_big_data


#LLM #JanNano #MCP #OpenSourceAI
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✔️ Jan-nano от Menlo Research — модель на базе Qwen3 всего на 4B параметров, созданная для Deep Research.

📊 На SimpleQA (agentic / MCP) — Jan-nano набирает 80.7.

Это очень серьёзный результат для модели такого размера!

Модель работает через Jan — open-source альтернативу ChatGPT, которая запускается локально.

Она заточена и оптимизирована для интеграции с Model Context Protocol (MCP).

🔍 Jan-nano — ещё один пример того, как компактные модели могут конкурировать с большими моделями благодаря обучению и агентной архитектуре.

HF: https://huggingface.co/Menlo/Jan-nano

@ai_machinelearning_big_data


#LLM #JanNano #MCP #OpenSourceAI

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