|
--- |
|
base_model: |
|
- unsloth/phi-4 |
|
- bunnycore/Phi-4-rp-v1-lora |
|
library_name: transformers |
|
tags: |
|
- mergekit |
|
- merge |
|
|
|
--- |
|
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. |
|
|
|
## Primary Use Cases |
|
- Interactive Storytelling : Engage users in dynamic, immersive stories where they can take on different roles and make choices that influence the narrative. |
|
- Role-Playing Games (RPGs) : Provide rich, interactive experiences in RPGs, enhancing gameplay through intelligent character interactions. |
|
- Virtual Assistants : Offer personalized, engaging conversations that simulate human-like interactions for customer support or entertainment purposes. |
|
|
|
## Training Data |
|
|
|
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: |
|
|
|
- Role-playing game scripts and narratives. |
|
- Interactive storytelling scenarios. |
|
- Character dialogues and interactions from diverse fictional settings. |
|
|
|
## Input Formats |
|
|
|
Given the nature of the training data, phi-4 is best suited for prompts using the chat format as follows: |
|
``` |
|
<|im_start|>system<|im_sep|> |
|
You are a medieval knight and must provide explanations to modern people.<|im_end|> |
|
<|im_start|>user<|im_sep|> |
|
How should I explain the Internet?<|im_end|> |
|
<|im_start|>assistant<|im_sep|> |
|
``` |
|
|
|
## Merge Details |
|
### Merge Method |
|
|
|
This model was merged using the passthrough merge method using [unsloth/phi-4](https://huggingface.co/unsloth/phi-4) + [bunnycore/Phi-4-rp-v1-lora](https://huggingface.co/bunnycore/Phi-4-rp-v1-lora) as a base. |
|
|
|
### Models Merged |
|
|
|
The following models were included in the merge: |
|
|
|
|
|
### Configuration |
|
|
|
The following YAML configuration was used to produce this model: |
|
|
|
```yaml |
|
|
|
|
|
base_model: unsloth/phi-4+bunnycore/Phi-4-rp-v1-lora |
|
dtype: bfloat16 |
|
merge_method: passthrough |
|
models: |
|
- model: unsloth/phi-4+bunnycore/Phi-4-rp-v1-lora |
|
tokenizer_source: unsloth/phi-4 |
|
|
|
``` |
|
|