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--- |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- BioMistral/BioMistral-7B |
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- Nexusflow/Starling-LM-7B-beta |
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base_model: |
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- BioMistral/BioMistral-7B |
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- Nexusflow/Starling-LM-7B-beta |
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license: apache-2.0 |
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--- |
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# BioLing-7B-Dare |
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[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com) |
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This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/). |
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This model is available under a [CC-BY-NC-ND](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) license and must also conform to this [Acceptable Use Policy](https://huggingface.co/johnsnowlabs). If you need to license this model for commercial use, please contact us at [email protected]. |
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## 🧩 Configuration |
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```yaml |
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models: |
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- model: BioMistral/BioMistral-7B |
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parameters: |
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density: 0.53 |
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weight: 0.4 |
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- model: Nexusflow/Starling-LM-7B-beta |
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parameters: |
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density: 0.53 |
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weight: 0.3 |
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merge_method: dare_ties |
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base_model: BioMistral/BioMistral-7B |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "johnsnowlabs/BioLing-7B-Dare" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
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## 🏆 Evaluation |
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Coming Soon! |
