DistilabelCerberus-7B-slerp/README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- dvilasuero/DistilabelBeagle14-7B
- teknium/OpenHermes-2.5-Mistral-7B
model-index:
- name: DistilabelCerberus-7B-slerp
  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: 68.17
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Stopwolf/DistilabelCerberus-7B-slerp
      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: 86.78
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Stopwolf/DistilabelCerberus-7B-slerp
      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: 64.2
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Stopwolf/DistilabelCerberus-7B-slerp
      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: 60.93
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Stopwolf/DistilabelCerberus-7B-slerp
      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: 79.48
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Stopwolf/DistilabelCerberus-7B-slerp
      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: 69.83
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Stopwolf/DistilabelCerberus-7B-slerp
      name: Open LLM Leaderboard
---

# DistilabelCerberus-7B-slerp

DistilabelCerberus-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [dvilasuero/DistilabelBeagle14-7B](https://huggingface.co/dvilasuero/DistilabelBeagle14-7B)
* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: dvilasuero/DistilabelBeagle14-7B
        layer_range: [0, 32]
      - model: teknium/OpenHermes-2.5-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: teknium/OpenHermes-2.5-Mistral-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
```

## Results

|                             | ARC-C | Hellaswag | ThruthfulQA | Winogrande | GSM8K |   |   |
|-----------------------------|-------|-----------|-------------|------------|-------|---|---|
| OpenHermes-2.5-Mistral-7B   | 61.26 | 65.22     | 52.24       | 78.06      | 26.08 |   |   |
| DistilabelBeagle14-7B       | ?     | ?         | 71.66       | ?          | ?     |   |   |
| DistilabelCerberus-7B-slerp | 65.44 | 69.29     | 60.93       | 79.48      | 69.82 |   |   |
# [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_Stopwolf__DistilabelCerberus-7B-slerp)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |71.56|
|AI2 Reasoning Challenge (25-Shot)|68.17|
|HellaSwag (10-Shot)              |86.78|
|MMLU (5-Shot)                    |64.20|
|TruthfulQA (0-shot)              |60.93|
|Winogrande (5-shot)              |79.48|
|GSM8k (5-shot)                   |69.83|