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--- |
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license: llama2 |
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language: |
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- en |
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pipeline_tag: text-generation |
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tags: |
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- endocrinology |
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- medical |
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- llama |
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- thyroid |
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- diabetes |
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- pituitary |
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- adrenal |
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library_name: peft |
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widget: |
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- text: | |
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### Question: What is hypothyroidism? |
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### Input: |
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### Response: |
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inference: |
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parameters: |
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temperature: 0.1 |
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max_new_tokens: 1024 |
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--- |
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Document created on September 7 2023 |
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# Endo_Llama: Thyroid Edition (v1) |
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Model Description |
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What is it? |
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Endo_Llama is a large language model (LLama 2) finetuned to answer questions related to endocrinology, with a focus on thyroid-related issues in its first version. |
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This model aims to assist healthcare professionals and researchers in obtaining better information about thyroid conditions, treatments, and best practices. |
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Input |
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Models input text only. |
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Output |
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Models generate text only. |
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## Model Architecture |
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Model Type: Llama 2 |
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Parameters: ~7B |
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Training Data: Curated dataset of endocrinology questions and answers, with a focus on thyroid issues for Version 1. |
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## Intended Use |
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Clinical decision support |
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Medical research |
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## Limitations |
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Not a substitute for professional medical advice |
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May not cover all nuances of a complex medical condition |
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Version 1 is primarily focused on thyroid-related issues |
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## Training Data |
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The model is trained on a curated dataset of endocrinology questions and answers, with an emphasis on thyroid conditions. |
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## Usage |
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coming soon! |
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library_name: peft |
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--- |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- load_in_8bit: False |
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- load_in_4bit: True |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: True |
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- bnb_4bit_compute_dtype: float16 |
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### Framework versions |
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- PEFT 0.5.0 |
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- PEFT 0.5.0 |
