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bunnycore/Phi-4-Stock-RP
Phi-4-Stock-RP is a text generation model from bunnycore. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Phi-4-Stock-RP is a phi4 based language model designed for reasoning and role-play scenarios. It leverages the capabilities of several pre-existing high-quality models, integrating them into a cohesive system that exc…
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From the Hugging Face model README
Phi-4-Stock-RP is a phi4 based language model designed for reasoning and role-play scenarios. It leverages the capabilities of several pre-existing high-quality models, integrating them into a cohesive system that excels in reasoning, creative, narrative, and interactive text generation.
Sources: Merged from various pre-trained models, focusing on those with strong performance in text generation and understanding. Enhanced with a specialized LoRA trained on role-play dialogues, scenarios, and character interactions. Model Capabilities:
Role-Playing: Capable of maintaining coherent characters, plots, and dialogues over extended interactions. Creative Writing: Assists in crafting stories, dialogues, and character development with a focus on immersion and narrative coherence. General Language Understanding: Inherits general text comprehension and generation from the base models, making it versatile for various language tasks beyond RP.
<|im_start|>system<|im_sep|> {system_message}<|im_end|> <|im_start|>user<|im_sep|> {prompt}<|im_end|> <|im_start|>assistant<|im_sep|>
This model was merged using the passthrough merge method using bunnycore/Phi-4-Model-Stock + bunnycore/Phi-4-rp-v1-lora as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: bunnycore/Phi-4-Model-Stock+bunnycore/Phi-4-rp-v1-lora
dtype: bfloat16
merge_method: passthrough
models:
- model: bunnycore/Phi-4-Model-Stock+bunnycore/Phi-4-rp-v1-lora
tokenizer_source: unsloth/phi-4
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 38.73 |
| IFEval (0-Shot) | 63.99 |
| BBH (3-Shot) | 55.21 |
| MATH Lvl 5 (4-Shot) | 32.25 |
| GPQA (0-shot) | 14.43 |
| MuSR (0-shot) | 18.53 |
| MMLU-PRO (5-shot) | 47.96 |