Instructions to use electricsheepafrica/medgemma-4b-it-text-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use electricsheepafrica/medgemma-4b-it-text-only with Transformers:

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

pipe = pipeline("text-generation", model="electricsheepafrica/medgemma-4b-it-text-only")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("electricsheepafrica/medgemma-4b-it-text-only")
model = AutoModelForCausalLM.from_pretrained("electricsheepafrica/medgemma-4b-it-text-only", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use electricsheepafrica/medgemma-4b-it-text-only with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "electricsheepafrica/medgemma-4b-it-text-only"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "electricsheepafrica/medgemma-4b-it-text-only",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/electricsheepafrica/medgemma-4b-it-text-only

SGLang

How to use electricsheepafrica/medgemma-4b-it-text-only 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 "electricsheepafrica/medgemma-4b-it-text-only" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "electricsheepafrica/medgemma-4b-it-text-only",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "electricsheepafrica/medgemma-4b-it-text-only" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "electricsheepafrica/medgemma-4b-it-text-only",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use electricsheepafrica/medgemma-4b-it-text-only with Docker Model Runner:
```
docker model run hf.co/electricsheepafrica/medgemma-4b-it-text-only
```

Kossisoroyce commited on Jan 10

Commit

fdd9d16

verified ·

1 Parent(s): cf8cec4

Upload tokenizer_config.json with huggingface_hub

Browse files

Files changed (1) hide show

tokenizer_config.json +1 -1

tokenizer_config.json CHANGED Viewed

@@ -51325,7 +51325,7 @@
   },
   "boi_token": "<start_of_image>",
   "bos_token": "<bos>",
-  "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{ '<start_of_turn>user\n' + message['content'] + '<end_of_turn>\n' }}{% elif message['role'] == 'assistant' %}{{ '<start_of_turn>model\n' + message['content'] + '<end_of_turn>\n' }}{% elif message['role'] == 'system' %}{{ '<start_of_turn>system\n' + message['content'] + '<end_of_turn>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<start_of_turn>model\n' }}{% endif %}",
   "clean_up_tokenization_spaces": false,
   "eoi_token": "<end_of_image>",
   "eos_token": "<eos>",

   },
   "boi_token": "<start_of_image>",
   "bos_token": "<bos>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% set messages = messages[1:] %}{% else %}{% set system_message = '' %}{% endif %}{% for message in messages %}{% if message['role'] == 'user' %}{{ '<start_of_turn>user\n' + system_message + message['content'] + '<end_of_turn>\n<start_of_turn>model\n' }}{% set system_message = '' %}{% elif message['role'] == 'assistant' %}{{ message['content'] + '<end_of_turn>\n' }}{% endif %}{% endfor %}",
   "clean_up_tokenization_spaces": false,
   "eoi_token": "<end_of_image>",
   "eos_token": "<eos>",