Medical Instruct Models
Collection
Collection of all the medical instruct fine-tuned LLMs with 7B parameters • 4 items • Updated • 2
How to use from
Unsloth StudioInstall Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Shekswess/llama-2-7b-chat-bnb-4bit-medical to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Shekswess/llama-2-7b-chat-bnb-4bit-medical to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="Shekswess/llama-2-7b-chat-bnb-4bit-medical",
max_seq_length=2048,
)Quick Links
- Developed by: Shekswess
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-chat-bnb-4bit
To utilize the fine-tuning of the model, you need to use the gemma instruction prompt template for this medical version of the model:
[INST] Answer the question truthfully, you are a medical professional. This is the question: {question} [/INST]
Metrics:
- train_runtime: 2216.5047
- train_samples_per_second: 0.902
- train_steps_per_second: 0.113
- total_flos: 3.081758974382899e+16
- train_loss: 1.1278145487308502
- steps: 250
- epoch: 1.0
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Model tree for Shekswess/llama-2-7b-chat-bnb-4bit-medical
Base model
unsloth/llama-2-7b-chat-bnb-4bit
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Shekswess/llama-2-7b-chat-bnb-4bit-medical to start chatting