metadata
language:
- en
license: mit
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
base_model:
- bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V
- bamec66557/MISCHIEVOUS-12B-Mix_0.4v
pipeline_tag: text-generation
model-index:
- name: MISCHIEVOUS-12B-Mix_III_IV_V
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: 40.31
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
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: 34.85
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
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: 12.84
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
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: 9.4
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
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: 12.34
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
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: 29.6
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
name: Open LLM Leaderboard
merge
This is a merge of pre-trained language models created using mergekit.
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: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
layer_range: [0, 15]
- model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V
layer_range: [0, 15]
parameters:
t:
- value: 0.8
- sources:
- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
layer_range: [15, 30]
- model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V
layer_range: [15, 30]
parameters:
t:
- value: [0.8, 1.0, 0.8]
- sources:
- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
layer_range: [30, 40]
- model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V
layer_range: [30, 40]
parameters:
t:
- value: 1.0
- filter: self_attn
value: [0.9, 1.0, 1.1]
merge_method: slerp
base_model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
dtype: bfloat16
regularization:
- method: weight_clipping
clip_range: [-0.1, 0.1]
postprocessing:
- operation: gaussian_smoothing
sigma: 1.2
- operation: normalize
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 23.22 |
IFEval (0-Shot) | 40.31 |
BBH (3-Shot) | 34.85 |
MATH Lvl 5 (4-Shot) | 12.84 |
GPQA (0-shot) | 9.40 |
MuSR (0-shot) | 12.34 |
MMLU-PRO (5-shot) | 29.60 |