Instructions to use julien31/Soar-mistral-123b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use julien31/Soar-mistral-123b with Transformers:

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

pipe = pipeline("text-generation", model="julien31/Soar-mistral-123b")
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("julien31/Soar-mistral-123b")
model = AutoModelForCausalLM.from_pretrained("julien31/Soar-mistral-123b", 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 julien31/Soar-mistral-123b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "julien31/Soar-mistral-123b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "julien31/Soar-mistral-123b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/julien31/Soar-mistral-123b

SGLang

How to use julien31/Soar-mistral-123b 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 "julien31/Soar-mistral-123b" \
    --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": "julien31/Soar-mistral-123b",
		"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 "julien31/Soar-mistral-123b" \
        --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": "julien31/Soar-mistral-123b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use julien31/Soar-mistral-123b with Docker Model Runner:
```
docker model run hf.co/julien31/Soar-mistral-123b
```

Improve model card: Add library, paper link, project page, and usage instructions

by nielsr HF Staff - opened Jul 22, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+64

-7

nielsr

Jul 22, 2025

This PR significantly enhances the model card for better discoverability, usability, and adherence to Hugging Face best practices.

Key changes include:

Metadata update:
- Added library_name: transformers to enable the "how to use" widget and improve model discoverability.
- Added project_page: https://julienp.netlify.app/posts/soar/ to the metadata for structured information about the associated blog/project.
Content improvements:
- Updated the paper link in the model card badges and main paper description to the official Hugging Face Paper page: https://huggingface.co/papers/2507.14172.
- Added a prominent "GitHub" badge and a direct link to the official GitHub repository (https://github.com/flowersteam/SOAR) for easier access to the code.
- Included the detailed installation instructions and "Run SOAR" guidance from the GitHub README, allowing users to get started directly from the Hugging Face Hub.
- Added a BibTeX citation section for proper academic attribution.

These updates aim to provide a more complete and accessible resource for users interacting with the SOAR-ARC model on the Hugging Face Hub.

Improve model card: Add library, paper link, project page, and usage instructions73e5bf86

julien31 changed pull request status to merged Jul 25, 2025

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