README.md

---
language:
- en
license: apache-2.0
base_model:
- Dans-DiscountModels/mistral-7b-v0.3-ChatML
model-index:
- name: mistral-7b-test-merged
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 66.24
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 28.41
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 4.15
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 7.38
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 2.99
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 21.46
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
      name: Open LLM Leaderboard
---
This model is an early release of an upcoming model for testing purposes. The format is ChatML. If you use this model let me know how it goes.

### Training details:
- 1x RTX 4080 + x RTX 3090
- Rank 64 RSLoRA
- 68 Hours runtime
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Dans-DiscountModels__mistral-7b-test-merged)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |21.77|
|IFEval (0-Shot)    |66.24|
|BBH (3-Shot)       |28.41|
|MATH Lvl 5 (4-Shot)| 4.15|
|GPQA (0-shot)      | 7.38|
|MuSR (0-shot)      | 2.99|
|MMLU-PRO (5-shot)  |21.46|