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---
library_name: transformers
base_model: 152334H/miqu-1-70b-sf
tags:
- medical
license: cc-by-nc-2.0
pipeline_tag: text-generation
language:
- en
---
# Dr. Niko (70B)
> This repository contains the full merged model.
The Dr-Niko model is designed to assist medical professionals, researchers, and students with a wide range of tasks, including answering medical and scientific questions, summarizing research papers and clinical notes, generating medical reports and documentation, providing medical advice and recommendations (with appropriate disclaimers), and assisting with medical decision-making and diagnosis (in a supporting role).
## Model Details
- **Model Name**: Dr-Niko
- **Model Type**: Medical Large Language Model (LLM)
- **Model Size**: 70 billion parameters (base model is miqu-70B)
- **Training Data**: The model was fine-tuned on a curated dataset of high-quality medical and scientific literature.
- **Fine-Tuning Approach**: The model was then fine-tuned on a medical and scientific dataset using [LLaMa-Factory ](https://github.com/hiyouga/LLaMA-Factory) for 1.5 epochs.
- **Intended Use**: The Dr-Niko model is designed to assist medical professionals, researchers, and students with a wide range of tasks, including:
- Answering medical and scientific questions
- Summarizing research papers and clinical notes (in a supporting role)
- Generating medical reports and documentation (in a supporting role)
- Providing medical advice and recommendations (with appropriate disclaimers)
- Assisting with medical decision-making and diagnosis (in a supporting role)
### Model Description
This model is next in a series of medical finetuning attempts, following medfalcon and medguanaco.
- **Developed by:** [Nick Mitchko](https://www.linkedin.com/in/nmitchko/)
- **Funded by :** [My Bank Account]
- **Shared by :** [My Internet]
- **Model type:** [LLaMa-70B variant]
- **Language(s) (NLP):** [English]
- **License:** [See [here](#license---nomerge)]
- **Finetuned from model [optional]:** [Miqu-70B](https://huggingface.co/152334H/miqu-1-70b-sf)
### Examples
### Model Sources
<!-- Provide the basic links for the model. -->
- **Repository:** [Coming Soon]
- **Paper []:** [Maybe]
- **Demo []:** Maybe
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## Uses
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## Bias, Risks, and Limitations
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### Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
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### Training Procedure
#### Preprocessing [optional]
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## Evaluation
### Testing Data, Factors & Metrics
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#### Metrics
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<!-- Relevant interpretability work for the model goes here -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hours used:** [More Information Needed]
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## Technical Specifications [optional]
### Model Architecture and Objective
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#### Software
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## Citation [optional]
Information Coming Soon
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## License - NOMERGE
```
NOMERGE License
Copyright (c) 2024 152334H
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, NOT merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
All tensors ("weights") provided by the Software shall not be conjoined with
other tensors ("merging") unless given explicit permission by the license holder.
Utilities including but not limited to "mergekit", "MergeMonster", are forbidden
from use in conjunction with this Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
``` |