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--- |
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datasets: |
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- osyvokon/zno |
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- byebyebye/ukr-wiki-qa-v1 |
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- byebyebye/ukr-wiki-qa-v2 |
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language: |
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- uk |
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--- |
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## Introduction |
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CodeKobzar13B is a generative model that was trained on Ukrainian Wikipedia data and Ukrainian language rules. It has knowledge of Ukrainian history, language, literature and culture. |
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## Model Information |
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This model is based on [vicuna-13b-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5). |
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## Model Usage |
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Use the following prompt template: <br> |
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USER: {input} ASSISTANT: |
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We recommend using next configurations: |
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<b>Temperature:</b> 0.8 <br> |
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<b>Top-p:</b> 0.95 |
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### Inference |
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```python |
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import torch |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model_path="ponoma16/CodeKobzar13B" |
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tokenizer = AutoTokenizer.from_pretrained(model_path) |
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model = AutoModelForCausalLM.from_pretrained( |
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model_load_path, |
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low_cpu_mem_usage=True, |
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torch_dtype=torch.float16, |
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load_in_8bit=True, |
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device_map='auto', |
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) |
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model.eval() |
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prompt = "Яке місто в Україні називають найромантичнішим?" |
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PROMPT_TEMPLATE = """USER: {prompt} ASSISTANT: """ |
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input_ids = tokenizer( |
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prompt, |
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return_tensors="pt", |
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truncation=True, |
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).input_ids.cuda() |
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outputs = model.generate( |
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input_ids=input_ids, |
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do_sample=True, |
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top_p=0.95, |
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max_new_tokens=150, |
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temperature=0.5, |
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) |
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prediction = tokenizer.batch_decode(outputs.cpu().numpy(), skip_special_tokens=True)[0] |
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print(prediction) |
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``` |
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## Contact |
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If you have any inquiries, please feel free to raise an issue or reach out to us via email at: [email protected], [email protected]. |
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We're here to assist you!" |
