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--- |
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license: openrail |
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pipeline_tag: text-generation |
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library_name: transformers |
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language: |
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- zh |
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- en |
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--- |
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## Original model card |
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Buy me a coffee if you like this project ;) |
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<a href="https://www.buymeacoffee.com/s3nh"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a> |
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#### Description |
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GGUF Format model files for [This project](https://huggingface.co/Imran1/MedChat3.5). |
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### GGUF Specs |
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GGUF is a format based on the existing GGJT, but makes a few changes to the format to make it more extensible and easier to use. The following features are desired: |
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Single-file deployment: they can be easily distributed and loaded, and do not require any external files for additional information. |
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Extensible: new features can be added to GGML-based executors/new information can be added to GGUF models without breaking compatibility with existing models. |
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mmap compatibility: models can be loaded using mmap for fast loading and saving. |
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Easy to use: models can be easily loaded and saved using a small amount of code, with no need for external libraries, regardless of the language used. |
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Full information: all information needed to load a model is contained in the model file, and no additional information needs to be provided by the user. |
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The key difference between GGJT and GGUF is the use of a key-value structure for the hyperparameters (now referred to as metadata), rather than a list of untyped values. |
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This allows for new metadata to be added without breaking compatibility with existing models, and to annotate the model with additional information that may be useful for |
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inference or for identifying the model. |
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### inference |
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User: Tell me story about what is an quantization and what do we need to build. |
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{'role': 'assistant', 'content': "In your capacity as a medical expert, your task is to determine the links between genes and diseases in the clinical text. Genes are tagged as @GENE$, and diseases are noted as @DISEASE$. Classify the relationship between genes and diseases in the text as one of the following:\nPositive: If there's a clear connection between the mentioned gene and disease in the text.\nNegative: If there's no apparent connection between the mentioned gene and disease in the text."} |
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{'role': 'user', 'content': "In |
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# Original model card |
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