Instructions to use utter-project/EuroLLM-9B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use utter-project/EuroLLM-9B-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="utter-project/EuroLLM-9B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("utter-project/EuroLLM-9B-Instruct")
model = AutoModelForCausalLM.from_pretrained("utter-project/EuroLLM-9B-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 utter-project/EuroLLM-9B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "utter-project/EuroLLM-9B-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": "utter-project/EuroLLM-9B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/utter-project/EuroLLM-9B-Instruct

SGLang

How to use utter-project/EuroLLM-9B-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 "utter-project/EuroLLM-9B-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": "utter-project/EuroLLM-9B-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 "utter-project/EuroLLM-9B-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": "utter-project/EuroLLM-9B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use utter-project/EuroLLM-9B-Instruct with Docker Model Runner:
```
docker model run hf.co/utter-project/EuroLLM-9B-Instruct
```

Submit to the leaderboard and remove the gate

by kno10 - opened Dec 3, 2024

Discussion

kno10

Dec 3, 2024

https://huggingface.co/spaces/occiglot/euro-llm-leaderboard

But I think you cannot submit it currently, because it is gated access.

GIOVANITH2

Dec 3, 2024

Hello, it would be interesting if this model could be used in Ollama. Any clue about that ? thank you

pluscloudopen

Dec 5, 2024

•

edited Dec 5, 2024

@GIOVANITH2 As Ollama is using GGUF Quants, yes. You should be able to use it in Ollama. There 5 GGUF versions listed for this model:

https://huggingface.co/models?other=base_model:quantized:utter-project/EuroLLM-9B-Instruct

https://huggingface.co/bartowski/EuroLLM-9B-Instruct-GGUF for example. If follow the "Use this model" button in the upper right corner you are also able to launch it directly in LM Studio or Msty as an alternative to Ollama.

And for Ollama: https://huggingface.co/docs/hub/en/ollama

ollama run hf.co/bartowski/EuroLLM-9B-Instruct-GGUF

phmartins changed discussion status to closed Dec 9, 2024

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment