---
license: unknown
model-index:
- name: contaminated_proof_7b_v1.0_safetensor
  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: 78.07
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Contamination/contaminated_proof_7b_v1.0_safetensor
      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: 90.22
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Contamination/contaminated_proof_7b_v1.0_safetensor
      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: 78.92
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Contamination/contaminated_proof_7b_v1.0_safetensor
      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: 82.29
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Contamination/contaminated_proof_7b_v1.0_safetensor
      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: 88.16
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Contamination/contaminated_proof_7b_v1.0_safetensor
      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: 69.14
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Contamination/contaminated_proof_7b_v1.0_safetensor
      name: Open LLM Leaderboard
---
#### This model has same weights with [Contamination/contaminated_proof_7b_v1.0](https://huggingface.co/Contamination/contaminated_proof_7b_v1.0)
# WARNING: Contamination
This model is TOTALLY CONTAMINATED, which made resulting model unreliable.

SO DO NOT USE THIS MODEL FOR ANY PURPOSE.
PLEASE ONLY USE FOR REFERENCE.

This model is trained with [ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) data to have conversational features.


# MODEL ARCHITECTURE
This model was initialized with [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1/tree/main)


# PLEASE NOTE
Users and sponsors should be wary that many models are also unreliable. I hope our model can show the vulnerablity of the leaderboard.

# [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_Contamination__contaminated_proof_7b_v1.0_safetensor)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |81.14|
|AI2 Reasoning Challenge (25-Shot)|78.07|
|HellaSwag (10-Shot)              |90.22|
|MMLU (5-Shot)                    |78.92|
|TruthfulQA (0-shot)              |82.29|
|Winogrande (5-shot)              |88.16|
|GSM8k (5-shot)                   |69.14|