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---
language:
- en
license: other
tags:
- chatml
base_model: google/gemma-2b
datasets:
- HuggingFaceH4/ultrachat_200k
- teknium/OpenHermes-2.5
- meta-math/MetaMathQA
- LDJnr/Capybara
- glaiveai/glaive-code-assistant-v2
- migtissera/Tess-Coder-v1.0
- m-a-p/Code-Feedback
- ise-uiuc/Magicoder-Evol-Instruct-110K
- ise-uiuc/Magicoder-OSS-Instruct-75K
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
model-index:
- name: new_model_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: 52.56
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pansophic/new_model_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: 73.65
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pansophic/new_model_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: 46.02
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pansophic/new_model_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: 51.25
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pansophic/new_model_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: 66.38
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pansophic/new_model_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: 37.91
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pansophic/new_model_test
name: Open LLM Leaderboard
---
This is just a preview model. It is a finetuned gemma-2b with added chatml tokens.
# [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_pansophic__new_model_test)
| Metric |Value|
|---------------------------------|----:|
|Avg. |54.63|
|AI2 Reasoning Challenge (25-Shot)|52.56|
|HellaSwag (10-Shot) |73.65|
|MMLU (5-Shot) |46.02|
|TruthfulQA (0-shot) |51.25|
|Winogrande (5-shot) |66.38|
|GSM8k (5-shot) |37.91|
|