Instructions to use OmnicromsBrain/NeuralStar_AlphaWriter_4x7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OmnicromsBrain/NeuralStar_AlphaWriter_4x7b with Transformers:

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

pipe = pipeline("text-generation", model="OmnicromsBrain/NeuralStar_AlphaWriter_4x7b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OmnicromsBrain/NeuralStar_AlphaWriter_4x7b")
model = AutoModelForCausalLM.from_pretrained("OmnicromsBrain/NeuralStar_AlphaWriter_4x7b")
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

vLLM

How to use OmnicromsBrain/NeuralStar_AlphaWriter_4x7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OmnicromsBrain/NeuralStar_AlphaWriter_4x7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OmnicromsBrain/NeuralStar_AlphaWriter_4x7b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/OmnicromsBrain/NeuralStar_AlphaWriter_4x7b

SGLang

How to use OmnicromsBrain/NeuralStar_AlphaWriter_4x7b 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 "OmnicromsBrain/NeuralStar_AlphaWriter_4x7b" \
    --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": "OmnicromsBrain/NeuralStar_AlphaWriter_4x7b",
		"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 "OmnicromsBrain/NeuralStar_AlphaWriter_4x7b" \
        --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": "OmnicromsBrain/NeuralStar_AlphaWriter_4x7b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use OmnicromsBrain/NeuralStar_AlphaWriter_4x7b with Docker Model Runner:
```
docker model run hf.co/OmnicromsBrain/NeuralStar_AlphaWriter_4x7b
```

why is grammar mispelled in the positive prompts?

by lemon07r - opened May 29, 2024

Discussion

lemon07r

May 29, 2024

title

OmnicromsBrain

Owner May 29, 2024

Wow, good catch. It's a typo, I cut and paste it from an old model and didn't notice.

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