Instructions to use lemon07r/Gemma-2-Ataraxy-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lemon07r/Gemma-2-Ataraxy-9B with Transformers:

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

pipe = pipeline("text-generation", model="lemon07r/Gemma-2-Ataraxy-9B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("lemon07r/Gemma-2-Ataraxy-9B")
model = AutoModelForCausalLM.from_pretrained("lemon07r/Gemma-2-Ataraxy-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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use lemon07r/Gemma-2-Ataraxy-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lemon07r/Gemma-2-Ataraxy-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": "lemon07r/Gemma-2-Ataraxy-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/lemon07r/Gemma-2-Ataraxy-9B

SGLang

How to use lemon07r/Gemma-2-Ataraxy-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 "lemon07r/Gemma-2-Ataraxy-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": "lemon07r/Gemma-2-Ataraxy-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 "lemon07r/Gemma-2-Ataraxy-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": "lemon07r/Gemma-2-Ataraxy-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use lemon07r/Gemma-2-Ataraxy-9B with Docker Model Runner:
```
docker model run hf.co/lemon07r/Gemma-2-Ataraxy-9B
```

I ask you for a huge favor

by Anderson452 - opened Sep 2, 2024

Discussion

Anderson452

Sep 2, 2024

•

edited Sep 2, 2024

This model really is the best I have ever tried in my life.Regarding AI models for role-playing and creative writingIt's a spectacle and I really congratulate you. I would like to ask you to make a similar model, but with Llama 3. (No 3.1 please, we all know he sucks at creative writing, lol) Thank you again, the model is excellent.

lemon07r

Owner Sep 3, 2024

This model really is the best I have ever tried in my life.Regarding AI models for role-playing and creative writingIt's a spectacle and I really congratulate you. I would like to ask you to make a similar model, but with Llama 3. (No 3.1 please, we all know he sucks at creative writing, lol) Thank you again, the model is excellent.

Sorry but this is out of my levels of capability, I already tried playing around with 3.1, did not get good results.

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