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  This model was converted to GGUF format from [`bunnycore/Phi-4-RP-V0.2`](https://huggingface.co/bunnycore/Phi-4-RP-V0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/bunnycore/Phi-4-RP-V0.2) for more details on the model.
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  ## Use with llama.cpp
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  Install llama.cpp through brew (works on Mac and Linux)
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  This model was converted to GGUF format from [`bunnycore/Phi-4-RP-V0.2`](https://huggingface.co/bunnycore/Phi-4-RP-V0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/bunnycore/Phi-4-RP-V0.2) for more details on the model.
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+ ---
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+ Model details:
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+ -
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+ Phi-4-RP-V0.2 is based on the Phi-4 architecture, which is a state-of-the-art large language model designed to handle a wide range of natural language tasks with high efficiency and performance.
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+ Primary Use Cases
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+ Interactive Storytelling : Engage users in dynamic, immersive stories where they can take on different roles and make choices that influence the narrative.
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+ Role-Playing Games (RPGs) : Provide rich, interactive experiences in RPGs, enhancing gameplay through intelligent character interactions.
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+ Virtual Assistants : Offer personalized, engaging conversations that simulate human-like interactions for customer support or entertainment purposes.
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+ Training Data
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+ Phi-4-RP-V0.2 is specifically trained on role-playing datasets to ensure comprehensive understanding and versatility in various role-playing contexts. This includes but is not limited to:
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+ Role-playing game scripts and narratives.
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+ Interactive storytelling scenarios.
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+ Character dialogues and interactions from diverse fictional settings.
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+
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+ Input Formats
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+ Given the nature of the training data, phi-4 is best suited for prompts using the chat format as follows:
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+ <|im_start|>system<|im_sep|>
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+ You are a medieval knight and must provide explanations to modern people.<|im_end|>
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+ <|im_start|>user<|im_sep|>
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+ How should I explain the Internet?<|im_end|>
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+ <|im_start|>assistant<|im_sep|>
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+
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+ Merge Method
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+ This model was merged using the passthrough merge method using unsloth/phi-4 + bunnycore/Phi-4-rp-v1-lora as a base.
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+ Models Merged
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+ The following models were included in the merge:
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+ Configuration
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+ The following YAML configuration was used to produce this model:
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+ base_model: unsloth/phi-4+bunnycore/Phi-4-rp-v1-lora
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+ dtype: bfloat16
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+ merge_method: passthrough
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+ models:
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+ - model: unsloth/phi-4+bunnycore/Phi-4-rp-v1-lora
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+ tokenizer_source: unsloth/phi-4
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+
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+ ---
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  ## Use with llama.cpp
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  Install llama.cpp through brew (works on Mac and Linux)
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