Instructions to use YeonwooSung/Neos-Gemma-2-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use YeonwooSung/Neos-Gemma-2-9b with Transformers:

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

pipe = pipeline("text-generation", model="YeonwooSung/Neos-Gemma-2-9b")
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("YeonwooSung/Neos-Gemma-2-9b")
model = AutoModelForCausalLM.from_pretrained("YeonwooSung/Neos-Gemma-2-9b", 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 YeonwooSung/Neos-Gemma-2-9b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "YeonwooSung/Neos-Gemma-2-9b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "YeonwooSung/Neos-Gemma-2-9b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/YeonwooSung/Neos-Gemma-2-9b

SGLang

How to use YeonwooSung/Neos-Gemma-2-9b 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 "YeonwooSung/Neos-Gemma-2-9b" \
    --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": "YeonwooSung/Neos-Gemma-2-9b",
		"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 "YeonwooSung/Neos-Gemma-2-9b" \
        --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": "YeonwooSung/Neos-Gemma-2-9b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use YeonwooSung/Neos-Gemma-2-9b with Docker Model Runner:
```
docker model run hf.co/YeonwooSung/Neos-Gemma-2-9b
```

Neos-Gemma-2-9b

Commit History

Update README.md

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Yeonwoo Sung commited on Nov 11, 2024

Upload tokenizer

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Yeonwoo Sung commited on Nov 11, 2024

Upload Gemma2ForCausalLM

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Yeonwoo Sung commited on Nov 11, 2024

initial commit

e19421e
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Yeonwoo Sung commited on Nov 11, 2024

Commit History

Update README.md f5156b7 verified

Upload tokenizer 1caf2fa verified

Upload Gemma2ForCausalLM bca93b4 verified

initial commit e19421e verified

Update README.md

f5156b7
verified

Upload tokenizer

1caf2fa
verified

Upload Gemma2ForCausalLM

bca93b4
verified

initial commit

e19421e
verified