README.md

---
license: cc-by-nc-4.0
model-index:
- name: Mistral-11B-TestBench9
  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: 64.08
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
      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: 84.24
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
      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: 64.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
      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: 56.19
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
      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: 78.45
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
      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: 16.15
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
      name: Open LLM Leaderboard
---

Don't mind those at the moment, I need to finetune them for RP, it's just some tests.

WARNING: This model specifically need EOS token I completely forgot to put on the json files, and need to check what was the right ones trough the mix. Please don't use it like this if you really want to review it.

```
slices:
  - sources:
    - model: "/content/drive/MyDrive/CC-v1.1-7B-bf16"
      layer_range: [0, 24]
  - sources:
    - model: "/content/drive/MyDrive/Zephyr-7B"
      layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16

================================================

slices:
  - sources:
      - model: "/content/drive/MyDrive/Mistral-11B-CC-Zephyr"
        layer_range: [0, 48]
      - model: Undi95/Mistral-11B-OpenOrcaPlatypus
        layer_range: [0, 48]
merge_method: slerp
base_model: "/content/drive/MyDrive/Mistral-11B-CC-Zephyr"
parameters:
  t:
    - value: 0.5 # fallback for rest of tensors
dtype: bfloat16
```

hf-causal-experimental (pretrained=/content/drive/MyDrive/Mistral-11B-Test), limit: None, provide_description: False, num_fewshot: 0, batch_size: 4
|    Task     |Version| Metric |Value |   |Stderr|
|-------------|------:|--------|-----:|---|-----:|
|arc_challenge|      0|acc     |0.5623|±  |0.0145|
|             |       |acc_norm|0.5794|±  |0.0144|
|arc_easy     |      0|acc     |0.8354|±  |0.0076|
|             |       |acc_norm|0.8165|±  |0.0079|
|hellaswag    |      0|acc     |0.6389|±  |0.0048|
|             |       |acc_norm|0.8236|±  |0.0038|
|piqa         |      0|acc     |0.8139|±  |0.0091|
|             |       |acc_norm|0.8264|±  |0.0088|
|truthfulqa_mc|      1|mc1     |0.3978|±  |0.0171|
|             |       |mc2     |0.5607|±  |0.0155|
|winogrande   |      0|acc     |0.7451|±  |0.0122|



![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/8f-rAHIfN1ZuW4HqkzYz-.png)
# [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_Undi95__Mistral-11B-TestBench9)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 53.06   |
| ARC (25-shot)         | 64.08          |
| HellaSwag (10-shot)   | 84.24    |
| MMLU (5-shot)         | 64.0         |
| TruthfulQA (0-shot)   | 56.19   |
| Winogrande (5-shot)   | 78.45   |
| GSM8K (5-shot)        | 16.15        |
| DROP (3-shot)         | 8.35         |

# [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_Undi95__Mistral-11B-TestBench9)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |60.52|
|AI2 Reasoning Challenge (25-Shot)|64.08|
|HellaSwag (10-Shot)              |84.24|
|MMLU (5-Shot)                    |64.00|
|TruthfulQA (0-shot)              |56.19|
|Winogrande (5-shot)              |78.45|
|GSM8k (5-shot)                   |16.15|