
# MedLLAMA-LoRA
#### Experimental llama finetune on medical qa dataset
This model has not been evaluated yet, and should NOT be used for medical advice. It is an experiment to create a domain-specific model from LLaMA using LoRA finetuning.

Training Details:
- 13b model, finetuned on 76k question-answer pairs
- superset of alpaca-data-cleaned instruct dataset with additional medical qa pairs adapted from icliniq dataset
- Trained for 18 hours on A100, minibatch size 10, batch size 256, cutoff_len 512, all other parameters default
- https://github.com/tloen/alpaca-lora
{"license": "other"}
license:other region:us
TAGS
#license-other #region-us 


# MedLLAMA-LoRA
#### Experimental llama finetune on medical qa dataset
This model has not been evaluated yet, and should NOT be used for medical advice. It is an experiment to create a domain-specific model from LLaMA using LoRA finetuning.

Training Details:
- 13b model, finetuned on 76k question-answer pairs
- superset of alpaca-data-cleaned instruct dataset with additional medical qa pairs adapted from icliniq dataset
- Trained for 18 hours on A100, minibatch size 10, batch size 256, cutoff_len 512, all other parameters default
- URL
# MedLLAMA-LoRA #### Experimental llama finetune on medical qa dataset
This model has not been evaluated yet, and should NOT be used for medical advice. It is an experiment to create a domain-specific model from LLaMA using LoRA finetuning.

Training Details:
- 13b model, finetuned on 76k question-answer pairs
- superset of alpaca-data-cleaned instruct dataset with additional medical qa pairs adapted from icliniq dataset
- Trained for 18 hours on A100, minibatch size 10, batch size 256, cutoff_len 512, all other parameters default
- URL
TAGS
#license-other #region-us 
 # MedLLAMA-LoRA #### Experimental llama finetune on medical qa dataset
This model has not been evaluated yet, and should NOT be used for medical advice. It is an experiment to create a domain-specific model from LLaMA using LoRA finetuning.

Training Details:
- 13b model, finetuned on 76k question-answer pairs
- superset of alpaca-data-cleaned instruct dataset with additional medical qa pairs adapted from icliniq dataset
- Trained for 18 hours on A100, minibatch size 10, batch size 256, cutoff_len 512, all other parameters default
- URL
TAGS
#license-other #region-us 
# MedLLAMA-LoRA#### Experimental llama finetune on medical qa dataset
This model has not been evaluated yet, and should NOT be used for medical advice. It is an experiment to create a domain-specific model from LLaMA using LoRA finetuning.

Training Details:
- 13b model, finetuned on 76k question-answer pairs
- superset of alpaca-data-cleaned instruct dataset with additional medical qa pairs adapted from icliniq dataset
- Trained for 18 hours on A100, minibatch size 10, batch size 256, cutoff_len 512, all other parameters default
- URL