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---
license: apache-2.0
tags:
- uncensored
model-index:
- name: Mistral-CatMacaroni-slerp-uncensored
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 64.25
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 84.09
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 62.66
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 56.87
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 79.72
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 56.1
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
name: Open LLM Leaderboard
---
This is an experimental model.
Finetuned on dataset [toxic-dpo-v0.1-NoWarning-alpaca](https://huggingface.co/datasets/diffnamehard/toxic-dpo-v0.1-NoWarning-alpaca) using model [Mistral-CatMacaroni-slerp-7B](https://huggingface.co/diffnamehard/Mistral-CatMacaroni-slerp-7B)
| Metric | Value |
| --- | --- |
| Avg. | 67.28 |
| ARC (25-shot) | 64.25 |
| HellaSwag (10-shot) | 84.09 |
| MMLU (5-shot) | 62.66 |
| TruthfulQA (0-shot) | 56.87 |
| Winogrande (5-shot) | 79.72 |
| GSM8K (5-shot) | 56.1 |
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_diffnamehard__Mistral-CatMacaroni-slerp-uncensored)
| Metric |Value|
|---------------------------------|----:|
|Avg. |67.28|
|AI2 Reasoning Challenge (25-Shot)|64.25|
|HellaSwag (10-Shot) |84.09|
|MMLU (5-Shot) |62.66|
|TruthfulQA (0-shot) |56.87|
|Winogrande (5-shot) |79.72|
|GSM8k (5-shot) |56.10|
|