metadata
library_name: transformers
tags:
- mergekit
- merge
base_model:
- zelk12/MT5-Gen2-BI-gemma-2-9B
- zelk12/MT5-Gen2-MMGMAMU-gemma-2-9B
model-index:
- name: MT5-Gen2-gemma-2-9B
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: 79.62
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT5-Gen2-gemma-2-9B
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: 44.11
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT5-Gen2-gemma-2-9B
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: 10.35
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT5-Gen2-gemma-2-9B
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: 13.53
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT5-Gen2-gemma-2-9B
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: 10.44
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT5-Gen2-gemma-2-9B
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: 37.55
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT5-Gen2-gemma-2-9B
name: Open LLM Leaderboard
Quants
Provided by @mradermacher
GGUF Static: https://huggingface.co/mradermacher/MT5-Gen2-gemma-2-9B-GGUF
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:
models:
- model: zelk12/MT5-Gen2-BI-gemma-2-9B
- model: zelk12/MT5-Gen2-MMGMAMU-gemma-2-9B
merge_method: slerp
base_model: zelk12/MT5-Gen2-BI-gemma-2-9B
dtype: bfloat16
parameters:
t: 0.25
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 32.60 |
| IFEval (0-Shot) | 79.62 |
| BBH (3-Shot) | 44.11 |
| MATH Lvl 5 (4-Shot) | 10.35 |
| GPQA (0-shot) | 13.53 |
| MuSR (0-shot) | 10.44 |
| MMLU-PRO (5-shot) | 37.55 |