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---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- jpacifico/Chocolatine-14B-Instruct-4k-DPO
- failspy/Phi-3-medium-4k-instruct-abliterated-v3
model-index:
- name: Ph3merge-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: 27.01
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge-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: 48.88
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge-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: 0.15
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge-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: 11.74
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge-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: 13.28
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge-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: 40.12
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3merge-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:
* [jpacifico/Chocolatine-14B-Instruct-4k-DPO](https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-4k-DPO)
* [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: jpacifico/Chocolatine-14B-Instruct-4k-DPO
layer_range: [0, 39]
- model: failspy/Phi-3-medium-4k-instruct-abliterated-v3
layer_range: [0, 39]
merge_method: slerp
base_model: jpacifico/Chocolatine-14B-Instruct-4k-DPO
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__Ph3merge-14B)
| Metric |Value|
|-------------------|----:|
|Avg. |23.53|
|IFEval (0-Shot) |27.01|
|BBH (3-Shot) |48.88|
|MATH Lvl 5 (4-Shot)| 0.15|
|GPQA (0-shot) |11.74|
|MuSR (0-shot) |13.28|
|MMLU-PRO (5-shot) |40.12|
|