---
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|