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README.md

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 # Summary
-This is an **version using debug dataset** of the 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:
+This is an **version using debug dataset** 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 our [harmony response](https://github.com/openai/harmony) format and should only be used with the harmony format as it will not work correctly otherwise.