README.md

---
license: apache-2.0
datasets:
- Open-Orca/SlimOrca
base_model: mistralai/Mixtral-8x7B-v0.1
pipeline_tag: text-generation
model-index:
- name: Mixtral-SlimOrca-8x7B
  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: 67.66
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
      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: 85.11
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
      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: 67.98
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
      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: 54.98
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
      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: 80.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
      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: 45.56
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
      name: Open LLM Leaderboard
---

# SlimOrca Mixtral 8x7B

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)

![OpenOrca Logo](https://huggingface.co/openaccess-ai-collective/slimorca-mixstral-8x7b/resolve/main/assets/mixtral-slimorca.png "MixtralSlimOrca Logo")

Official release of the SlimOrca Mixtral finetune. More details to come.



## Model Details

### Model Description

- **Developed by:** OpenAccess AI Collective and OpenOrca
- **Finetuned from model [optional]:** mistralai/Mixtral-8x7B-v0.1


# [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_Open-Orca__Mixtral-SlimOrca-8x7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |66.97|
|AI2 Reasoning Challenge (25-Shot)|67.66|
|HellaSwag (10-Shot)              |85.11|
|MMLU (5-Shot)                    |67.98|
|TruthfulQA (0-shot)              |54.98|
|Winogrande (5-shot)              |80.51|
|GSM8k (5-shot)                   |45.56|