Instructions to use stabilityai/stablelm-zephyr-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use stabilityai/stablelm-zephyr-3b with Transformers:

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

pipe = pipeline("text-generation", model="stabilityai/stablelm-zephyr-3b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("stabilityai/stablelm-zephyr-3b")
model = AutoModelForCausalLM.from_pretrained("stabilityai/stablelm-zephyr-3b", 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 stabilityai/stablelm-zephyr-3b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "stabilityai/stablelm-zephyr-3b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "stabilityai/stablelm-zephyr-3b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/stabilityai/stablelm-zephyr-3b

SGLang

How to use stabilityai/stablelm-zephyr-3b 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 "stabilityai/stablelm-zephyr-3b" \
    --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": "stabilityai/stablelm-zephyr-3b",
		"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 "stabilityai/stablelm-zephyr-3b" \
        --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": "stabilityai/stablelm-zephyr-3b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use stabilityai/stablelm-zephyr-3b with Docker Model Runner:
```
docker model run hf.co/stabilityai/stablelm-zephyr-3b
```

apply_chat_template(add_generation_prompt=True) not working

by odellus - opened Dec 9, 2023

Discussion

odellus

Dec 9, 2023

•

edited Dec 9, 2023

Not able to get tokenizer.apply_chat_template to append the generation prompt for stablelm-zephyr-3b

print(tokenizer.chat_template)
"{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}"

chat = [{'role': 'system', 'content': 'You are an excellent C++ programmer'}, {'role': 'user', 'content': 'Write a program to compute pairwise distances between atoms in a PDB file'}]

tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
'<|system|>\nYou are an excellent C++ programmer<|endoftext|>\n<|user|>\nWrite a program to compute pairwise distances between atoms in a PDB file<|endoftext|>\n'

tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=False)
'<|system|>\nYou are an excellent C++ programmer<|endoftext|>\n<|user|>\nWrite a program to compute pairwise distances between atoms in a PDB file<|endoftext|>\n'

Could this be an issue with tokenizer module? The chat template looks right.

odellus

Dec 10, 2023

Upgrading transformers fixed this issue for me. Closing.

odellus changed discussion status to closed Dec 10, 2023

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