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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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- garage-bAInd/Open-Platypus |
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pipeline_tag: text-generation |
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model-index: |
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- name: PlatYi-34B-200k-Q-FastChat |
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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: 64.93 |
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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/PlatYi-34B-200k-Q-FastChat |
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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: 84.46 |
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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/PlatYi-34B-200k-Q-FastChat |
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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: 77.13 |
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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/PlatYi-34B-200k-Q-FastChat |
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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: 48.38 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/PlatYi-34B-200k-Q-FastChat |
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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: 80.74 |
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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/PlatYi-34B-200k-Q-FastChat |
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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: 51.48 |
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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/PlatYi-34B-200k-Q-FastChat |
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name: Open LLM Leaderboard |
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--- |
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# **PlatYi-34B-200k-Q-FastChat** |
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<img src='./PlatYi.png' width=256> |
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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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PlatYi-34B-200k-Q-FastChat is an auto-regressive language model based on the Yi-34B transformer architecture. |
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**Blog Link** |
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Blog: [Coming soon...] |
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Github: [Coming soon...] |
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**Base Model** |
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[01-ai/Yi-34B-200K](https://huggingface.co/01-ai/Yi-34B-200K) |
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**Training Dataset** |
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[garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus). |
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**Notice** |
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While training, I used QLoRA. |
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`lora_r` values is 64. |
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**Apply prompting** |
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References by [FastChat](https://github.com/lm-sys/FastChat/blob/daa2b9abe20597ebf34dc5df164d450456610c74/fastchat/conversation.py#L198-L229). |
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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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| **PlatYi-34B-200k-Q-FastChat** | 67.85 | 64.93 | 84.46 | 77.13 | 48.38 | 80.74 | 51.48 | |
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| PlatYi-34B-Llama-Q-FastChat | 68.31 | 66.31 | 85.25 | 78.37 | 53.62 | 82.16 | 44.35 | |
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| [Yi-34B](https://huggingface.co/01-ai/Yi-34B) | 69.42 | 64.59 | 85.69 | 76.35 | 56.23 | 83.03 | 50.64 | |
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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/PlatYi-34B-200k-Q-FastChat" |
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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__PlatYi-34B-200k-Q-FastChat) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |67.85| |
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|AI2 Reasoning Challenge (25-Shot)|64.93| |
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|HellaSwag (10-Shot) |84.46| |
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|MMLU (5-Shot) |77.13| |
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|TruthfulQA (0-shot) |48.38| |
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|Winogrande (5-shot) |80.74| |
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|GSM8k (5-shot) |51.48| |
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