Instructions to use utter-project/EuroLLM-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use utter-project/EuroLLM-1.7B with Transformers:

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

pipe = pipeline("text-generation", model="utter-project/EuroLLM-1.7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("utter-project/EuroLLM-1.7B")
model = AutoModelForCausalLM.from_pretrained("utter-project/EuroLLM-1.7B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use utter-project/EuroLLM-1.7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "utter-project/EuroLLM-1.7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "utter-project/EuroLLM-1.7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/utter-project/EuroLLM-1.7B

SGLang

How to use utter-project/EuroLLM-1.7B 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-1.7B" \
    --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": "utter-project/EuroLLM-1.7B",
		"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 "utter-project/EuroLLM-1.7B" \
        --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": "utter-project/EuroLLM-1.7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use utter-project/EuroLLM-1.7B with Docker Model Runner:
```
docker model run hf.co/utter-project/EuroLLM-1.7B
```

philschmid commited on Sep 25, 2024

Commit

ee7c607

verified ·

1 Parent(s): a355def

Update README.md

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README.md CHANGED Viewed

@@ -24,7 +24,7 @@ language:
 - lv
 - et
 - bg
-- no
 - ca
 - hr
 - ga
@@ -36,6 +36,7 @@ language:
 - ja
 - ar
 - hi
 ---
 ## *Model updated on September 24*
@@ -157,4 +158,4 @@ Results show that EuroLLM-1.7B is superior to TinyLlama-v1.1 and similar to Gemm
 ## Bias, Risks, and Limitations
-EuroLLM-1.7B has not been aligned to human preferences, so the model may generate problematic outputs (e.g., hallucinations, harmful content, or false statements).

 - lv
 - et
 - bg
+- 'no'
 - ca
 - hr
 - ga
 - ja
 - ar
 - hi
+library_name: transformers
 ---
 ## *Model updated on September 24*
 ## Bias, Risks, and Limitations
+EuroLLM-1.7B has not been aligned to human preferences, so the model may generate problematic outputs (e.g., hallucinations, harmful content, or false statements).