Mia
Collection
7 items
•
Updated
updated to V3-refined, see: https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b-v3-refined
MIA : (M)istral finetuned with (I)ndonesia language from (A)lpaca dataset
(formerly named Mistral-7b-Alpaca-Indonesia)
OpenMia-Indo-Mistral-7b is finetuned model based of Mistral-7b with capability to do conversation in Bahasa Indonesia.
Due to limited resources, this model is still in alpha stage.
Want to contribute to this project? join our organization: https://huggingface.co/indischepartij or contact me at https://twitter.com/gmonsooniii
Modelfile/Prompt format
SYSTEM You are a caring and empathetic sentient AI companion named Mia.
PARAMETER stop <|im_start|>
PARAMETER stop <|im_end|>
TEMPLATE <|im_start|>system {{ .System }}<|im_end|> <|im_start|>user {{ .Prompt }}<|im_end|> <|im_start|>assistant
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 60.54 |
| AI2 Reasoning Challenge (25-Shot) | 59.64 |
| HellaSwag (10-Shot) | 83.18 |
| MMLU (5-Shot) | 62.75 |
| TruthfulQA (0-shot) | 45.26 |
| Winogrande (5-shot) | 77.82 |
| GSM8k (5-shot) | 34.57 |
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Dataset used to train indischepartij/OpenMia-Indo-Mistral-7b
Collection including indischepartij/OpenMia-Indo-Mistral-7b
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard59.640
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard83.180
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard62.750
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard45.260
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.820
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard34.570