---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Phi-4-Model-Stock
- bunnycore/Phi-4-rp-v1-lora
model-index:
- name: Phi-4-Stock-RP
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 63.99
      name: strict accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Stock-RP
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 55.21
      name: normalized accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Stock-RP
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 32.25
      name: exact match
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Stock-RP
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 14.43
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Stock-RP
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 18.53
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Stock-RP
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 47.96
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Stock-RP
      name: Open LLM Leaderboard
license: 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 excels in reasoning, creative, narrative, and interactive text generation.

# Training Data:

- 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.

### Merge Method

This model was merged using the passthrough merge method using [bunnycore/Phi-4-Model-Stock](https://huggingface.co/bunnycore/Phi-4-Model-Stock) + [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: 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
```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__Phi-4-Stock-RP-details)

|      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|