Instructions to use PRIME-RL/Eurus-2-7B-PRIME with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PRIME-RL/Eurus-2-7B-PRIME with Transformers:

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

pipe = pipeline("text-generation", model="PRIME-RL/Eurus-2-7B-PRIME")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PRIME-RL/Eurus-2-7B-PRIME")
model = AutoModelForCausalLM.from_pretrained("PRIME-RL/Eurus-2-7B-PRIME")
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]:]))

Inference
Local Apps Settings

vLLM

How to use PRIME-RL/Eurus-2-7B-PRIME with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PRIME-RL/Eurus-2-7B-PRIME"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PRIME-RL/Eurus-2-7B-PRIME",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PRIME-RL/Eurus-2-7B-PRIME

SGLang

How to use PRIME-RL/Eurus-2-7B-PRIME 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 "PRIME-RL/Eurus-2-7B-PRIME" \
    --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": "PRIME-RL/Eurus-2-7B-PRIME",
		"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 "PRIME-RL/Eurus-2-7B-PRIME" \
        --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": "PRIME-RL/Eurus-2-7B-PRIME",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use PRIME-RL/Eurus-2-7B-PRIME with Docker Model Runner:
```
docker model run hf.co/PRIME-RL/Eurus-2-7B-PRIME
```

real usage query

by asidaddy - opened Feb 18, 2025

Discussion

asidaddy

Feb 18, 2025

hi guys, tried using this model, seems like you need to one shot it otherwise it isn't susceptible to feedack, for example it produces a simple code, but forgets an import, I tell it that this is the case and it reproduces the code without the impot...

also suffers from repeat issues.
can you suggest if this was tested beyong benchmarks?

hanbin

PRIME org Feb 18, 2025

Hi, our model is primarily designed to solve math problems. You can find the evaluation scripts here. During our testing, there are a few instances of repetition, but it's not very common.

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