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---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- dnhkng/RYS-Phi-3-medium-4k-instruct
- failspy/Phi-3-medium-4k-instruct-abliterated-v3
model-index:
- name: Ph3merge3-14B
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: 16.45
name: strict accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge3-14B
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: 10.39
name: normalized accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge3-14B
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: 0.0
name: exact match
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge3-14B
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: 4.7
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge3-14B
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: 8.86
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge3-14B
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: 7.19
name: accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge3-14B
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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [dnhkng/RYS-Phi-3-medium-4k-instruct](https://huggingface.co./dnhkng/RYS-Phi-3-medium-4k-instruct)
* [failspy/Phi-3-medium-4k-instruct-abliterated-v3](https://huggingface.co./failspy/Phi-3-medium-4k-instruct-abliterated-v3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: failspy/Phi-3-medium-4k-instruct-abliterated-v3
layer_range: [0, 39]
- model: dnhkng/RYS-Phi-3-medium-4k-instruct
layer_range: [0, 39]
merge_method: slerp
base_model: failspy/Phi-3-medium-4k-instruct-abliterated-v3
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
# [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/details_allknowingroger__Ph3merge3-14B)
| Metric |Value|
|-------------------|----:|
|Avg. | 7.93|
|IFEval (0-Shot) |16.45|
|BBH (3-Shot) |10.39|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot) | 4.70|
|MuSR (0-shot) | 8.86|
|MMLU-PRO (5-shot) | 7.19|
|