How to use from
Unsloth Studio
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Shekswess/mistral-7b-instruct-v0.2-bnb-4bit-medical to start chatting
Install 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/mistral-7b-instruct-v0.2-bnb-4bit-medical to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Shekswess/mistral-7b-instruct-v0.2-bnb-4bit-medical to start chatting
Load model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Shekswess/mistral-7b-instruct-v0.2-bnb-4bit-medical",
    max_seq_length=2048,
)
Quick Links
  • Developed by: Shekswess
  • License: apache-2.0
  • Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit

To utilize the fine-tuning of the model, you need to use the mistral 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: 2362.0602
  • train_samples_per_second: 0.847
  • train_steps_per_second: 0.106
  • total_flos: 3.160426333342925e+16
  • train_loss: 1.0993178739547729
  • steps: 250
  • epoch: 1.0

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