Instructions to use Himitsui/MedMitsu-Instruct-11B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Himitsui/MedMitsu-Instruct-11B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Himitsui/MedMitsu-Instruct-11B")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Himitsui/MedMitsu-Instruct-11B")
model = AutoModelForCausalLM.from_pretrained("Himitsui/MedMitsu-Instruct-11B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Himitsui/MedMitsu-Instruct-11B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Himitsui/MedMitsu-Instruct-11B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Himitsui/MedMitsu-Instruct-11B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Himitsui/MedMitsu-Instruct-11B

SGLang

How to use Himitsui/MedMitsu-Instruct-11B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Himitsui/MedMitsu-Instruct-11B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Himitsui/MedMitsu-Instruct-11B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Himitsui/MedMitsu-Instruct-11B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Himitsui/MedMitsu-Instruct-11B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Himitsui/MedMitsu-Instruct-11B with Docker Model Runner:
```
docker model run hf.co/Himitsui/MedMitsu-Instruct-11B
```

MedMitsu-Instruct-11B

Commit History

Apr 12, 2025

04:35
Adding `safetensors` variant of this model⁠

SFconvertbot

Verified signature
e24c114

Jan 20, 2024

14:56
Create README.md

Himitsui

Verified signature
96bcaf9

Jan 19, 2024

18:18
Upload folder using huggingface_hub

Himitsui

Verified signature
dd8d093
18:16
initial commit

Himitsui

Verified signature
40a915a

Commit History

Apr 12, 2025

Adding `safetensors` variant of this model⁠

Jan 20, 2024

Create README.md

Jan 19, 2024

Upload folder using huggingface_hub

initial commit