---
language:
- en
license: cc-by-nc-sa-4.0
tags:
- merge
- slerp
model-index:
- name: CarbonVillain-en-10.7B-v3
  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: 70.99
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v3
      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: 88.48
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v3
      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: 66.34
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v3
      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: 71.84
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v3
      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: 83.58
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v3
      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: 65.2
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v3
      name: Open LLM Leaderboard
---

# CarbonVillain
**This is a model created without learning to oppose indiscriminate carbon emissions.**  

This model is an experimental version created using [mergekit](https://github.com/cg123/mergekit).  
- merge models
  - kyujinpy/Sakura-SOLAR-Instruct
  - jeonsworld/CarbonVillain-en-10.7B-v1
- method: slerp

# Prompt Template(s)

```
### User:
{user}

### Assistant:
{asistant}
```


# Evaluation
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_jeonsworld__CarbonVillain-en-10.7B-v3)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  |    |
| ARC (25-shot)         |    |
| HellaSwag (10-shot)   |    |
| MMLU (5-shot)         |    |
| TruthfulQA (0-shot)   |    |
| Winogrande (5-shot)   |    |
| GSM8K (5-shot)        |    |
# [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_jeonsworld__CarbonVillain-en-10.7B-v3)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |74.41|
|AI2 Reasoning Challenge (25-Shot)|70.99|
|HellaSwag (10-Shot)              |88.48|
|MMLU (5-Shot)                    |66.34|
|TruthfulQA (0-shot)              |71.84|
|Winogrande (5-shot)              |83.58|
|GSM8k (5-shot)                   |65.20|