metadata
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.
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:
Configuration
The following YAML configuration was used to produce this model:
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
Detailed results can be found here
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 |