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Adding Evaluation Results (#1)
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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Phi-4-Model-Stock
- bunnycore/Phi-4-Model-Stock-v3
- bunnycore/Phi-4-Model-Stock-v2
- pankajmathur/orca_mini_phi-4
model-index:
- name: Phi-4-Model-Stock-v4
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: 71.1
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
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: 55.9
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
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: 37.16
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
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: 15.88
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
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: 17.3
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
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: 48.82
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
name: Open LLM Leaderboard
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [bunnycore/Phi-4-Model-Stock](https://huggingface.co/bunnycore/Phi-4-Model-Stock) as a base.
### Models Merged
The following models were included in the merge:
* [bunnycore/Phi-4-Model-Stock-v3](https://huggingface.co/bunnycore/Phi-4-Model-Stock-v3)
* [bunnycore/Phi-4-Model-Stock-v2](https://huggingface.co/bunnycore/Phi-4-Model-Stock-v2)
* [pankajmathur/orca_mini_phi-4](https://huggingface.co/pankajmathur/orca_mini_phi-4)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: pankajmathur/orca_mini_phi-4
- model: bunnycore/Phi-4-Model-Stock-v3
- model: bunnycore/Phi-4-Model-Stock
- model: bunnycore/Phi-4-Model-Stock-v2
merge_method: model_stock
base_model: bunnycore/Phi-4-Model-Stock
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: bunnycore/Phi-4-Model-Stock
```
# [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-Model-Stock-v4-details)
| Metric |Value|
|-------------------|----:|
|Avg. |41.03|
|IFEval (0-Shot) |71.10|
|BBH (3-Shot) |55.90|
|MATH Lvl 5 (4-Shot)|37.16|
|GPQA (0-shot) |15.88|
|MuSR (0-shot) |17.30|
|MMLU-PRO (5-shot) |48.82|