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---
language:
- en
- de
- fr
- it
- es
license: apache-2.0
library_name: adapter-transformers
datasets:
- Open-Orca/SlimOrca
- argilla/distilabel-intel-orca-dpo-pairs
pipeline_tag: text-generation
model-index:
- name: Mixtral-8x7b-DPO-v0.2
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: 70.39
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Swisslex/Mixtral-8x7b-DPO-v0.2
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: 87.73
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Swisslex/Mixtral-8x7b-DPO-v0.2
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: 71.03
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Swisslex/Mixtral-8x7b-DPO-v0.2
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: 58.69
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Swisslex/Mixtral-8x7b-DPO-v0.2
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: 82.56
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Swisslex/Mixtral-8x7b-DPO-v0.2
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: 57.54
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Swisslex/Mixtral-8x7b-DPO-v0.2
name: Open LLM Leaderboard
---
# Model Card for Model Swisslex/Mixtral-8x7b-DPO-v0.2
## Model Details
### Model Description
Finetuned version of [mistralai/Mixtral-8x7B-v0.2](https://huggingface.co/mistralai/Mixtral-8x7B-v0.2) using SFT and DPO.
- **Developed by:** Swisslex
- **Language(s) (NLP):** English, German, French, Italian, Spanish
- **License:** apache-2.0
- **Finetuned from model [optional]:** [mistralai/Mixtral-8x7B-v0.2](https://huggingface.co/mistralai/Mixtral-8x7B-v0.2)
# [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_Swisslex__Mixtral-8x7b-DPO-v0.2)
| Metric |Value|
|---------------------------------|----:|
|Avg. |71.32|
|AI2 Reasoning Challenge (25-Shot)|70.39|
|HellaSwag (10-Shot) |87.73|
|MMLU (5-Shot) |71.03|
|TruthfulQA (0-shot) |58.69|
|Winogrande (5-shot) |82.56|
|GSM8k (5-shot) |57.54|
|