Instructions to use HuggingFaceH4/zephyr-7b-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HuggingFaceH4/zephyr-7b-beta with Transformers:

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

pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/zephyr-7b-beta")
model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use HuggingFaceH4/zephyr-7b-beta with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HuggingFaceH4/zephyr-7b-beta"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceH4/zephyr-7b-beta",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/HuggingFaceH4/zephyr-7b-beta

SGLang

How to use HuggingFaceH4/zephyr-7b-beta 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 "HuggingFaceH4/zephyr-7b-beta" \
    --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": "HuggingFaceH4/zephyr-7b-beta",
		"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 "HuggingFaceH4/zephyr-7b-beta" \
        --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": "HuggingFaceH4/zephyr-7b-beta",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use HuggingFaceH4/zephyr-7b-beta with Docker Model Runner:
```
docker model run hf.co/HuggingFaceH4/zephyr-7b-beta
```

🚩Still receiving 'Fetch Failed' Error

#60

by Johnbigginsman - opened Mar 30, 2024

Discussion

Johnbigginsman

Mar 30, 2024

Been receiving 'Fetch Failed' error when using the Zephyr 7B Chat App any fixes or updates for this as it's been like this for a few days now

avalanche91

Apr 1, 2024

been asking the same damn thing now for like a week. they dont know or give a damn apparently and i for one getting sick of it

montge

Nov 5, 2024

•

edited Nov 5, 2024

So I've seen a similar thing when running on the on-demand Spaces gpu's. Strangly I don't get that error when I run on the zeroGPU with the A100. This is with my application.

Error: TypeError: fetch failed
at Client._resolve_config (file:///home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/gradio/templates/node/build/server/chunks/2-BK2b1QLK.js:39559:15)
at async Client.init (file:///home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/gradio/templates/node/build/server/chunks/2-BK2b1QLK.js:39475:5)
at async Client.connect (file:///home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/gradio/templates/node/build/server/chunks/2-BK2b1QLK.js:39514:5)
at async load$1 (file:///home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/gradio/templates/node/build/server/chunks/2-BK2b1QLK.js:41435:15)
at async load_data (file:///home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/gradio/templates/node/build/server/index.js:1178:18)
at async file:///home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/gradio/templates/node/build/server/index.js:2618:18

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