Instructions to use aws-neuron/zephyr-7b-beta-neuron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aws-neuron/zephyr-7b-beta-neuron with Transformers:

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

pipe = pipeline("text-generation", model="aws-neuron/zephyr-7b-beta-neuron")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("aws-neuron/zephyr-7b-beta-neuron")
model = AutoModelForCausalLM.from_pretrained("aws-neuron/zephyr-7b-beta-neuron")
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 aws-neuron/zephyr-7b-beta-neuron with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/aws-neuron/zephyr-7b-beta-neuron

SGLang

How to use aws-neuron/zephyr-7b-beta-neuron 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 "aws-neuron/zephyr-7b-beta-neuron" \
    --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": "aws-neuron/zephyr-7b-beta-neuron",
		"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 "aws-neuron/zephyr-7b-beta-neuron" \
        --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": "aws-neuron/zephyr-7b-beta-neuron",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use aws-neuron/zephyr-7b-beta-neuron with Docker Model Runner:
```
docker model run hf.co/aws-neuron/zephyr-7b-beta-neuron
```

jburtoft commited on Feb 2, 2024

Commit

93f2c05

verified ·

1 Parent(s): d6d7528

Update README.md

Browse files

Added redirect for Optimum support

Files changed (1) hide show

README.md +4 -0

README.md CHANGED Viewed

@@ -30,6 +30,10 @@ prompt_template: '<|system|>
   '
 ---
 # Neuronx model for Zephyr-7b-beta
 This repository contains [AWS Inferentia2](https://aws.amazon.com/ec2/instance-types/inf2/) and [neuronx](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/) compatible checkpoints for [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta).

   '
 ---
+# Please read
+Zephyr is now supported by optimum.  See [aws-neuron/zephyr-7b-seqlen-2048-bs-4-cores-2](https://huggingface.co/aws-neuron/zephyr-7b-seqlen-2048-bs-4-cores-2) for an updated model.
 # Neuronx model for Zephyr-7b-beta
 This repository contains [AWS Inferentia2](https://aws.amazon.com/ec2/instance-types/inf2/) and [neuronx](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/) compatible checkpoints for [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta).