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---
language:
- en
license: cc-by-nc-4.0
tags:
- merge
- slerp
model-index:
- name: CarbonVillain-en-10.7B-v1
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: 71.25
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v1
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: 88.46
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v1
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: 66.42
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v1
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: 71.98
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v1
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: 83.27
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v1
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: 64.29
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v1
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
- Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct
- VAGOsolutions/SauerkrautLM-SOLAR-Instruct
- 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-v1)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 74.28 |
| ARC (25-shot) | 71.24 |
| HellaSwag (10-shot) | 88.45 |
| MMLU (5-shot) | 66.42 |
| TruthfulQA (0-shot) | 71.97 |
| Winogrande (5-shot) | 83.26 |
| GSM8K (5-shot) | 64.29 |
# [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-v1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |74.28|
|AI2 Reasoning Challenge (25-Shot)|71.25|
|HellaSwag (10-Shot) |88.46|
|MMLU (5-Shot) |66.42|
|TruthfulQA (0-shot) |71.98|
|Winogrande (5-shot) |83.27|
|GSM8k (5-shot) |64.29|
|