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---
license: apache-2.0
library_name: transformers
base_model:
- nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
datasets:
- flammenai/Date-DPO-NoAsterisks
- jondurbin/truthy-dpo-v0.1
model-index:
- name: Flammades-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: 38.42
name: strict accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-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: 32.39
name: normalized accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-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: 6.19
name: exact match
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-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: 7.16
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-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: 20.31
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-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: 29.57
name: accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-Mistral-Nemo-12B
name: Open LLM Leaderboard
---
[](https://hf.co/QuantFactory)
# QuantFactory/Flammades-Mistral-Nemo-12B-GGUF
This is quantized version of [flammenai/Flammades-Mistral-Nemo-12B](https://huggingface.co./flammenai/Flammades-Mistral-Nemo-12B) created using llama.cpp
# Original Model Card
# Flammades-Mistral-Nemo-12B
[nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2](https://huggingface.co./nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2) finetuned on [flammenai/Date-DPO-NoAsterisks](https://huggingface.co./datasets/flammenai/Date-DPO-NoAsterisks) and [jondurbin/truthy-dpo-v0.1](https://huggingface.co./datasets/jondurbin/truthy-dpo-v0.1).
### Method
[ORPO tuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 2x RTX 3090 for 3 epochs.
# [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__Flammades-Mistral-Nemo-12B)
| Metric |Value|
|-------------------|----:|
|Avg. |22.34|
|IFEval (0-Shot) |38.42|
|BBH (3-Shot) |32.39|
|MATH Lvl 5 (4-Shot)| 6.19|
|GPQA (0-shot) | 7.16|
|MuSR (0-shot) |20.31|
|MMLU-PRO (5-shot) |29.57|
|