Instructions to use BiMediX/BiMediX-Eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BiMediX/BiMediX-Eng with Transformers:

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

pipe = pipeline("text-generation", model="BiMediX/BiMediX-Eng")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("BiMediX/BiMediX-Eng")
model = AutoModelForCausalLM.from_pretrained("BiMediX/BiMediX-Eng", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use BiMediX/BiMediX-Eng with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/BiMediX/BiMediX-Eng

SGLang

How to use BiMediX/BiMediX-Eng 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 "BiMediX/BiMediX-Eng" \
    --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": "BiMediX/BiMediX-Eng",
		"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 "BiMediX/BiMediX-Eng" \
        --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": "BiMediX/BiMediX-Eng",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use BiMediX/BiMediX-Eng with Docker Model Runner:
```
docker model run hf.co/BiMediX/BiMediX-Eng
```

HuggingSara commited on Feb 21, 2024

Commit

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@@ -57,11 +57,8 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 | Meditron-70B          | 72.3       | 82.5      | 62.8      | 77.8        | 77.9        | 62.7    | **65.1**    | 60.7      | 80.0         | 71.3    |
 | **BiMediX**           | **78.9**   | **86.1**  | **68.2**  | **85.0**    | **80.5**    | **74.1**| 62.7        | **62.8**  | **80.2**     | **75.4** |
-### Limitations
-- Potential issues: hallucinations, toxicity, stereotypes.
-- Medical diagnoses and recommendations require human evaluation.
 ### Safety and Ethical Considerations
 - **Usage:** Research purposes only.
 ### Accessibility

 | Meditron-70B          | 72.3       | 82.5      | 62.8      | 77.8        | 77.9        | 62.7    | **65.1**    | 60.7      | 80.0         | 71.3    |
 | **BiMediX**           | **78.9**   | **86.1**  | **68.2**  | **85.0**    | **80.5**    | **74.1**| 62.7        | **62.8**  | **80.2**     | **75.4** |
 ### Safety and Ethical Considerations
+- **Potential issues**: hallucinations, toxicity, stereotypes.
 - **Usage:** Research purposes only.
 ### Accessibility