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---
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| |