Silh = Mean silhouette coefficient of residuals for good/bad clusters For tool / function calling, SGLang is the recommended backend. MiniCPM5-1B emits XML-style tool calls and SGLang’s built-in minicpm5 parser converts them to OpenAI-compatible toolcalls` natively: MiniCPM5-1B uses the standard LlamaForCausalLM architecture, so mainstream inference engines can load it directly: no custom kernels, no model-code fork. For step-by-step deployment and fine-tuning instructions, use the GitHub cookbooks below. Agent Skills are linked as GitHub resources for users working with Cursor / Claude Code style coding agents. In addition to the deployment and fine-tuning frameworks listed above, MiniCPM5-1B is also supported by FlagOS for multi-chip deployment. To enable large-scale deployment across different AI chips, Beijing Zhiyuan Research Institute, together with numerous research institutions, chip manufacturers, system vendors, and algorithm and software organizations both domestically and internationally, jointly initiated and established the FlagOS Open Source Community. The FlagOS community is dedicated to building a unified, open-source system software stack for various AI chips,…
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Задача: Генерация текста
Автор: Dingdust
Теги: llama, minicpm, minicpm5, long-context, tool-calling, on-device, edge-ai, heretic
Лайков: 3 | Загрузок: 79
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
