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---
language:
- en
license: gemma
tags:
- supernova
- moth
- gemma
- gemma-2
- gemma-2-it
- gemma-2-9b-it
- 9b
- general
- conversational
- chat
- instruct
base_model: google/gemma-2-9b-it
datasets:
- sequelbox/Supernova
pipeline_tag: text-generation
model-index:
- name: gemma-2-9B-MOTH
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: 20.59
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/gemma-2-9B-MOTH
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: 3.21
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/gemma-2-9B-MOTH
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: 0.0
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/gemma-2-9B-MOTH
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: 1.34
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/gemma-2-9B-MOTH
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: 0.62
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/gemma-2-9B-MOTH
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: 1.56
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/gemma-2-9B-MOTH
name: Open LLM Leaderboard
---
- MOTH is a general chat AI.
- MOTH is finetuned on [high quality synthetic data.](https://huggingface.co/datasets/sequelbox/Supernova)
- MOTH is trained on a variety of skills and specialties.
- This version of MOTH is trained on the [Gemma 2 Instruct format.](https://huggingface.co/google/gemma-2-9b-it)
- MOTH is also available for [Llama 3.1;](https://huggingface.co/sequelbox/Llama3.1-8B-MOTH) more MOTH finetunes for other models to follow.
- MOTH has not been manually tested and uses automatically generated datasets.
- Do as you will.
# [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/details_sequelbox__gemma-2-9B-MOTH)
| Metric |Value|
|-------------------|----:|
|Avg. | 4.55|
|IFEval (0-Shot) |20.59|
|BBH (3-Shot) | 3.21|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot) | 1.34|
|MuSR (0-shot) | 0.62|
|MMLU-PRO (5-shot) | 1.56|
|