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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- zelk12/MT3-Gen3-IMM-gemma-2-9B
- zelk12/MT3-Gen3-GMAMUB-gemma-2-9B
model-index:
- name: MT3-Gen3-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: 78.56
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT3-Gen3-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: 43.78
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT3-Gen3-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: 9.06
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT3-Gen3-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/MT3-Gen3-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: 12.52
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT3-Gen3-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: 36.7
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT3-Gen3-gemma-2-9B
name: Open LLM Leaderboard
---
# Quants
Provided by @mradermacher
GGUF Static: https://huggingface.co/mradermacher/MT3-Gen3-gemma-2-9B-GGUF
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [zelk12/MT3-Gen3-IMM-gemma-2-9B](https://huggingface.co/zelk12/MT3-Gen3-IMM-gemma-2-9B)
* [zelk12/MT3-Gen3-GMAMUB-gemma-2-9B](https://huggingface.co/zelk12/MT3-Gen3-GMAMUB-gemma-2-9B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: zelk12/MT3-Gen3-IMM-gemma-2-9B
- model: zelk12/MT3-Gen3-GMAMUB-gemma-2-9B
merge_method: slerp
base_model: zelk12/MT3-Gen3-IMM-gemma-2-9B
dtype: bfloat16
parameters:
t: 0.25
```
# [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/zelk12__MT3-Gen3-gemma-2-9B-details)
| Metric |Value|
|-------------------|----:|
|Avg. |32.36|
|IFEval (0-Shot) |78.56|
|BBH (3-Shot) |43.78|
|MATH Lvl 5 (4-Shot)| 9.06|
|GPQA (0-shot) |13.53|
|MuSR (0-shot) |12.52|
|MMLU-PRO (5-shot) |36.70|
|