Instructions to use SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct")
model = AutoModelForCausalLM.from_pretrained("SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct")
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

vLLM

How to use SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct

SGLang

How to use SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct 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 "SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct" \
    --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": "SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct",
		"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 "SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct" \
        --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": "SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct with Docker Model Runner:
```
docker model run hf.co/SemplificaAI/EuroLLM-ISO24495-1.7b-Instruct
```

Access to EuroLLM-ISO24495-1.7b-Instruct (v0.2)

This model is released under CC-BY-NC-4.0 (non-commercial). The form below helps us understand who is using the model and prioritize improvements. Approval is automatic once the form is submitted.

By submitting this form you confirm that (1) your intended use complies with the CC-BY-NC-4.0 license terms (non-commercial), and (2) you have read the Limitations section of the model card. For commercial use, please contact hf@semplifica.ai.

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Access to EuroLLM-ISO24495-1.7b-Instruct (v0.2)

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Gated model

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