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---
license: cc-by-nc-4.0
library_name: transformers
base_model:
- Sao10K/MN-12B-Lyra-v1
datasets:
- jondurbin/gutenberg-dpo-v0.1
model-index:
- name: Lyra-Gutenberg-mistral-nemo-12B
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: 34.95
name: strict accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
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: 36.99
name: normalized accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
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: 8.31
name: exact match
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
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: 11.19
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
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: 14.76
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
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: 29.2
name: accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
name: Open LLM Leaderboard
---
# Lyra-Gutenberg-12B
[Sao10K/MN-12B-Lyra-v1](https://huggingface.co./Sao10K/MN-12B-Lyra-v1) finetuned on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co./datasets/jondurbin/gutenberg-dpo-v0.1).
### Method
Finetuned using an A100 on Google Colab for 3 epochs.
[Fine-tune Llama 3 with ORPO](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html)
# [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_nbeerbower__Lyra-Gutenberg-mistral-nemo-12B)
| Metric |Value|
|-------------------|----:|
|Avg. |22.57|
|IFEval (0-Shot) |34.95|
|BBH (3-Shot) |36.99|
|MATH Lvl 5 (4-Shot)| 8.31|
|GPQA (0-shot) |11.19|
|MuSR (0-shot) |14.76|
|MMLU-PRO (5-shot) |29.20|
|