Instructions to use thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b with 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 thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b 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 thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b",
    max_seq_length=2048,
)

low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b / special_tokens_map.json

Commit History

Trained with Unsloth

0503c6b
verified

thejaminator commited on May 5, 2025

Commit History

Trained with Unsloth 0503c6b verified

Trained with Unsloth

0503c6b
verified