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---
license: llama3
library_name: transformers
tags:
- mergekit
- merge
base_model:
- princeton-nlp/Llama-3-Instruct-8B-SimPO
- UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
pipeline_tag: text-generation
model-index:
- name: Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
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: 42.71
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
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: 28.26
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
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: 9.37
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
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: 5.37
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
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: 9.54
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
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: 29.17
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
name: Open LLM Leaderboard
---
# Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Built with Meta Llama 3.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [princeton-nlp/Llama-3-Instruct-8B-SimPO](https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-SimPO)
* [UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: princeton-nlp/Llama-3-Instruct-8B-SimPO
layer_range:
- 0
- 32
- model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
layer_range:
- 0
- 32
merge_method: slerp
base_model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
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_grimjim__Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge)
| Metric |Value|
|-------------------|----:|
|Avg. |20.74|
|IFEval (0-Shot) |42.71|
|BBH (3-Shot) |28.26|
|MATH Lvl 5 (4-Shot)| 9.37|
|GPQA (0-shot) | 5.37|
|MuSR (0-shot) | 9.54|
|MMLU-PRO (5-shot) |29.17|
|