This is an first-generation gpt oss 120B vibe-code alpha(preview) of the powerful vibe-code LLM. It’s optimized to produce both natural-language and code completions directly from loosely structured, “vibe coding” prompts. Compared to earlier-generation LLMs, it has a lower prompt-engineering overhead and smoother latent-space interpolation, making it easier to guide toward usable code. The following capabilities can be leveraged: — Agentic capabilities: Use the OpenAI’s gpt oss 120b models’ native capabilities for function calling, web browsing, Python code execution, and Structured Outputs. — This model were trained on OpenAI’s harmony response format and should only be used with the harmony format as it will not work correctly otherwise. This is a first-generation vibe-code LLM. It’s optimized to produce both natural-language and code completions directly from loosely structured, “vibe coding” prompts. Unlike earlier LLMs that demanded rigid prompt engineering, vibe-code interaction lowers the overhead: you can sketch intent, describe functionality in free-form language, or mix pseudo-code with natural text. The model interpolates smoothly in latent space, making it easier to…
Модальности:
Генерация текста
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Задача: Генерация текста
Автор: EpistemeAI
Теги: gpt_oss, text-generation-inference, unsloth, conversational, en, endpoints_compatible, 8-bit, mxfp4
Лайков: 3 | Загрузок: 40
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
