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---
license: cc-by-4.0
model-index:
- name: test
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: 23.04
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test
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: 25.23
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test
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: 23.28
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test
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: 0.0
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test
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: 51.14
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test
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: 0.0
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test
name: Open LLM Leaderboard
---
This is the test version for pruning.
This model is a base model that will be pruned and quantized for on-device purpose.
I used mergekit for merging two models:
- https://github.com/cg123/mergekit
The two models I combined are:
- https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v2
- https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct-DPO-v2
# [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_alnrg2arg__test)
| Metric |Value|
|---------------------------------|----:|
|Avg. |20.45|
|AI2 Reasoning Challenge (25-Shot)|23.04|
|HellaSwag (10-Shot) |25.23|
|MMLU (5-Shot) |23.28|
|TruthfulQA (0-shot) | 0.00|
|Winogrande (5-shot) |51.14|
|GSM8k (5-shot) | 0.00|
|