--- language: - en - ko license: cc-by-nc-4.0 datasets: - kyujinpy/KOR-gugugu-platypus-set base_model: - yanolja/KoSOLAR-10.7B-v0.2 pipeline_tag: text-generation ---

🤗 KoSOLAR-v0.2-gugutypus-10.7B ☀️

GitHub Hugging Face License: CC BY-NC 4.0 DOI
--- ## Model Details **Model Developers** - DongGeon Lee ([oneonlee](https://huggingface.co/oneonlee)) **Model Architecture** - **KoSOLAR-v0.2-gugutypus-10.7B** is a instruction fine-tuned auto-regressive language model, based on the [SOLAR](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) transformer architecture. **Base Model** - [yanolja/KoSOLAR-10.7B-v0.2](https://huggingface.co/yanolja/KoSOLAR-10.7B-v0.2) **Training Dataset** - [kyujinpy/KOR-gugugu-platypus-set](https://huggingface.co/datasets/kyujinpy/KOR-gugugu-platypus-set) --- ## Model comparisons - **Ko-LLM leaderboard (2024/03/01)** [[link]](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard) | Model | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 | | ----------------------------------------- | ----------- | ------ | ------------ | ------- | ------------- | --------------- | | **oneonlee/KoSOLAR-v0.2-gugutypus-10.7B** | **51.17** | 47.78 | 58.29 | 47.27 | 48.31 | 54.19 | | [oneonlee/LDCC-SOLAR-gugutypus-10.7B](https://huggingface.co/oneonlee/LDCC-SOLAR-gugutypus-10.7B) | 49.45 | 45.9 | 55.46 | 47.96 | 48.93 | 49 |
- **(KOR) AI-Harness evaluation** [[link]](https://github.com/Beomi/ko-lm-evaluation-harness) | Tasks |Version|Filter|n-shot|Metric|Value | |Stderr| |-------------------------|-------|------|-----:|------|-----:|---|-----:| |KMMLU |N/A |none | 0|acc |0.3335|± |0.0475| |KMMLU |N/A |none | 5|acc |0.3938|± |0.0823| |KoBEST-HellaSwag | 0|none | 0|acc |0.4360|± |0.0222| |KoBEST-HellaSwag | 0|none | 5|acc |0.4420|± |0.0222| |KoBEST-BoolQ | 0|none | 0|acc |0.5064|± |0.0133| |KoBEST-BoolQ | 0|none | 5|acc |0.8583|± |0.0093| |KoBEST-COPA | 0|none | 0|acc |0.6040|± |0.0155| |KoBEST-COPA | 0|none | 5|acc |0.7610|± |0.0135| |KoBEST-SentiNeg | 0|none | 0|acc |0.5844|± |0.0248| |KoBEST-SentiNeg | 0|none | 5|acc |0.9471|± |0.0112|
- **(ENG) AI-Harness evaluation** [[link]](https://github.com/EleutherAI/lm-evaluation-harness) | Tasks |Version|Filter|n-shot|Metric|Value | |Stderr| |------------------|-------|------|-----:|------|-----:|---|-----:| |MMLU |N/A |none | 0|acc |0.5826|± |0.1432| |MMLU |N/A |none | 5|acc |0.5885|± |0.1285| |HellaSwag | 1|none | 0|acc |0.6075|± |0.0049| |HellaSwag | 1|none | 5|acc |0.6098|± |0.0049| |BoolQ | 2|none | 0|acc |0.8737|± |0.0058| |BoolQ | 2|none | 5|acc |0.8826|± |0.0056| |COPA | 1|none | 0|acc |0.8300|± |0.0378| |COPA | 1|none | 5|acc |0.9100|± |0.0288| |truthfulqa |N/A |none | 0|acc |0.4249|± |0.0023| |truthfulqa |N/A |none | 5|acc | - |± | - | --- ## How to Use ```python ### KoSOLAR-gugutypus from transformers import AutoModelForCausalLM, AutoTokenizer import torch repo = "oneonlee/KoSOLAR-v0.2-gugutypus-10.7B" model = AutoModelForCausalLM.from_pretrained( repo, return_dict=True, torch_dtype=torch.float16, device_map='auto' ) tokenizer = AutoTokenizer.from_pretrained(repo) ``` --- ## Citation ``` @misc {donggeon_lee_2024, author = { {DongGeon Lee} }, title = { KoSOLAR-v0.2-gugutypus-10.7B (Revision 56841d5) }, year = 2024, url = { https://huggingface.co/oneonlee/KoSOLAR-v0.2-gugutypus-10.7B }, doi = { 10.57967/hf/1735 }, publisher = { Hugging Face } } ``` --- ## References - [yanolja/KoSOLAR-10.7B-v0.2](https://huggingface.co/yanolja/KoSOLAR-10.7B-v0.2) - [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) - [kyujinpy/KOR-gugugu-platypus-set](https://huggingface.co/datasets/kyujinpy/KOR-gugugu-platypus-set) - [squarelike/OpenOrca-gugugo-ko](https://huggingface.co/datasets/squarelike/OpenOrca-gugugo-ko) - [kyujinpy/KOR-OpenOrca-Platypus-v3](https://huggingface.co/datasets/kyujinpy/KOR-OpenOrca-Platypus-v3) - [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca) - [upstage/open-ko-llm-leaderboard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard) - [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) - [Beomi/ko-lm-evaluation-harness](https://github.com/Beomi/ko-lm-evaluation-harness)