metadata
library_name: transformers
tags:
- mergekit
- merge
base_model:
- nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
- Fizzarolli/MN-12b-Sunrose
- anthracite-org/magnum-v4-12b
- mistralai/Mistral-Nemo-Instruct-2407
model-index:
- name: MN-12B-Inferor-v0.1
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: 63.47
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
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: 30.85
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
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: 11.78
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
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: 10.07
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
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: 15.05
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
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: 29.58
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
name: Open LLM Leaderboard
inferor 0.1
Another iteration of inferor but with different base model
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using mistralai/Mistral-Nemo-Instruct-2407 as a base.
Models Merged
The following models were included in the merge:
- nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
- Fizzarolli/MN-12b-Sunrose
- anthracite-org/magnum-v4-12b
Configuration
The following YAML configuration was used to produce this model:
base_model: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
- layer_range: [0, 40]
model: Fizzarolli/MN-12b-Sunrose
- layer_range: [0, 40]
model: nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
- layer_range: [0, 40]
model: anthracite-org/magnum-v4-12b
- layer_range: [0, 40]
model: mistralai/Mistral-Nemo-Instruct-2407
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 26.80 |
IFEval (0-Shot) | 63.47 |
BBH (3-Shot) | 30.85 |
MATH Lvl 5 (4-Shot) | 11.78 |
GPQA (0-shot) | 10.07 |
MuSR (0-shot) | 15.05 |
MMLU-PRO (5-shot) | 29.58 |