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--- |
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language: |
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- en |
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license: cc-by-nc-sa-4.0 |
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library_name: transformers |
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datasets: |
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- kyujinpy/Open-platypus-Commercial |
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pipeline_tag: text-generation |
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model-index: |
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- name: SOLAR-Platypus-10.7B-v1 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 61.69 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 84.23 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 60.37 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 51.58 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 82.79 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 11.07 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1 |
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name: Open LLM Leaderboard |
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--- |
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# **SOLAR-Platypus-10.7B-v1** |
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## Model Details |
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**Model Developers** Kyujin Han (kyujinpy) |
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**Input** Models input text only. |
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**Output** Models generate text only. |
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**Model Architecture** |
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SOLAR-Platypus-10.7B-v1 is an auto-regressive language model based on the Llama2 architecture. |
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**Base Model** |
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[upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) |
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**Training Dataset** |
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[kyujinpy/Open-platypus-Commercial](https://huggingface.co/datasets/kyujinpy/Open-platypus-Commercial). |
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## Notice |
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While training, I used LoRA. |
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The lora_r values is 16. |
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## Q-LoRA config |
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- LoRA_r: 16 |
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- LoRA_alpha: 16 |
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- LoRA_dropout: 0.05 |
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- LoRA_target_modules: [gate_proj, up_proj, down_proj] |
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## Prompt |
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- Alpaca template. |
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# **Model Benchmark** |
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## Open leaderboard |
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- Follow up as [link](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). |
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| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | |
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| --- | --- | --- | --- | --- | --- | --- | --- | |
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| SOLAR-Platypus-10.7B-v1 | 58.62 | 61.69 | 84.23 | 60.37 | 51.58 | 82.79 | 11.07 | |
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| SOLAR-Platypus-10.7B-v2 | 55.25 | 59.39 | 83.57 | 59.93 | 43.15 | 81.45 | 4.02 | |
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| [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) | 66.04 | 61.95 | 84.60 | 65.48 | 45.04 | 83.66 | 55.50 | |
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# Implementation Code |
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```python |
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### KO-Platypus |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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repo = "kyujinpy/SOLAR-Platypus-10.7B-v1" |
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OpenOrca = AutoModelForCausalLM.from_pretrained( |
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repo, |
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return_dict=True, |
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torch_dtype=torch.float16, |
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device_map='auto' |
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) |
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OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo) |
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``` |
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--- |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_kyujinpy__SOLAR-Platypus-10.7B-v1) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |58.62| |
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|AI2 Reasoning Challenge (25-Shot)|61.69| |
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|HellaSwag (10-Shot) |84.23| |
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|MMLU (5-Shot) |60.37| |
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|TruthfulQA (0-shot) |51.58| |
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|Winogrande (5-shot) |82.79| |
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|GSM8k (5-shot) |11.07| |
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