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Adding Evaluation Results (#1)
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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ
- Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ
- bunnycore/Phi-4-rp-v1-lora
- bunnycore/Phi-4-Model-Stock-v2
model-index:
- name: Phi-4-Model-Stock-v3
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: 59.12
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v3
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: 52.78
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v3
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: 46.9
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v3
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: 5.26
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v3
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: 11.18
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v3
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: 48.68
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v3
name: Open LLM Leaderboard
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
```
<|im_start|>system<|im_sep|> {system_message}<|im_end|> <|im_start|>user<|im_sep|> {prompt}<|im_end|> <|im_start|>assistant<|im_sep|>
```
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ](https://huggingface.co/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ) as a base.
### Models Merged
The following models were included in the merge:
* [Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ](https://huggingface.co/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ) + [bunnycore/Phi-4-rp-v1-lora](https://huggingface.co/bunnycore/Phi-4-rp-v1-lora)
* [bunnycore/Phi-4-Model-Stock-v2](https://huggingface.co/bunnycore/Phi-4-Model-Stock-v2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: bunnycore/Phi-4-Model-Stock-v2
- model: Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ
- model: Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ+bunnycore/Phi-4-rp-v1-lora
base_model: Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
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-Model-Stock-v3-details)
| Metric |Value|
|-------------------|----:|
|Avg. |37.32|
|IFEval (0-Shot) |59.12|
|BBH (3-Shot) |52.78|
|MATH Lvl 5 (4-Shot)|46.90|
|GPQA (0-shot) | 5.26|
|MuSR (0-shot) |11.18|
|MMLU-PRO (5-shot) |48.68|