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---
language:
- id
license: cc-by-nc-4.0
tags:
- medical
pipeline_tag: text-generation
model-index:
- name: Kesehatan-7B-v0.1
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: 60.32
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Obrolin/Kesehatan-7B-v0.1
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: 82.54
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Obrolin/Kesehatan-7B-v0.1
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: 59.94
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Obrolin/Kesehatan-7B-v0.1
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: 50.68
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Obrolin/Kesehatan-7B-v0.1
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: 76.48
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Obrolin/Kesehatan-7B-v0.1
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: 32.22
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Obrolin/Kesehatan-7B-v0.1
name: Open LLM Leaderboard
---
## Obrolin Kesehatan!
Sesuai dengan namanya, Kesehatan! model AI ini telah dilatih dengan berbagai dataset di bidang kesehatan dalam Bahasa Indonesia seperti penyakit, obat-obatan, dan lain lain yang berhubungan dengan kesehatan!
**Meskipun "Obrolin Kesehatan" dirancang untuk memberikan informasi kesehatan yang bermanfaat, perlu diingat bahwa jawaban yang dihasilkan oleh model ini tidak selalu akurat dan tidak dapat menggantikan konsultasi langsung dengan dokter**
Anggap temen ngobrol aja ya :)
---
*As the name suggests, Health! This AI model has been drilled with various datasets in the health sector in Bahasa Indonesia such as diseases, medicines, and others related to health!*
***Although "Obrolin Kesehatan" is designed to provide useful health information, please remember that the answers generated by this model are not always accurate and cannot replace direct consultation with a doctor***
Just think of it as friends, okay? :)
## System Prompt (Optional) :
```
Kamu adalah Obrolin, asisten AI yang memiliki pengetahuan di bidang kesehatan
```
## Output Example :
![i1](https://huggingface.co/Obrolin/Kesehatan-7B/resolve/main/2.png)
![i2](https://huggingface.co/Obrolin/Kesehatan-7B/resolve/main/1.png)
*SillyTavern default settings, Q8_0.GGUF*
## Still in alpha build, don't expect perfection just yet :)
## License
This model is made available under the [CC BY-NC 4.0 license](https://creativecommons.org/licenses/by-nc/4.0/), which allows anyone to share and adapt the material for non-commercial purposes, with appropriate attribution.
## Based on [azale-ai/Starstreak-7b-beta](https://huggingface.co/azale-ai/Starstreak-7b-beta)!
```
@software{Hafidh_Soekma_Startstreak_7b_beta_2023,
author = {Hafidh Soekma Ardiansyah},
month = october,
title = {Startstreak: Traditional Indonesian Multilingual Language Model},
url = {\url{https://huggingface.co/azale-ai/Starstreak-7b-beta}},
publisher = {HuggingFace},
journal = {HuggingFace Models},
version = {1.0},
year = {2023}
}
```
## Citation
```
@misc{Obrolin/Kesehatan-7B,
author = {Arkan Bima},
title = {Obrolin Kesehatan},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/Obrolin/Kesehatan-7B}},
version = {0.1},
year = {2024},
}
```
# [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_Obrolin__Kesehatan-7B-v0.1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |60.37|
|AI2 Reasoning Challenge (25-Shot)|60.32|
|HellaSwag (10-Shot) |82.54|
|MMLU (5-Shot) |59.94|
|TruthfulQA (0-shot) |50.68|
|Winogrande (5-shot) |76.48|
|GSM8k (5-shot) |32.22|
|