Instructions to use WhiteRabbitNeo/WhiteRabbitNeo-13B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use WhiteRabbitNeo/WhiteRabbitNeo-13B-v1 with Transformers:

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

pipe = pipeline("text-generation", model="WhiteRabbitNeo/WhiteRabbitNeo-13B-v1", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("WhiteRabbitNeo/WhiteRabbitNeo-13B-v1", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/WhiteRabbitNeo-13B-v1", trust_remote_code=True)

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use WhiteRabbitNeo/WhiteRabbitNeo-13B-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "WhiteRabbitNeo/WhiteRabbitNeo-13B-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "WhiteRabbitNeo/WhiteRabbitNeo-13B-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/WhiteRabbitNeo/WhiteRabbitNeo-13B-v1

SGLang

How to use WhiteRabbitNeo/WhiteRabbitNeo-13B-v1 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 "WhiteRabbitNeo/WhiteRabbitNeo-13B-v1" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "WhiteRabbitNeo/WhiteRabbitNeo-13B-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "WhiteRabbitNeo/WhiteRabbitNeo-13B-v1" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "WhiteRabbitNeo/WhiteRabbitNeo-13B-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use WhiteRabbitNeo/WhiteRabbitNeo-13B-v1 with Docker Model Runner:
```
docker model run hf.co/WhiteRabbitNeo/WhiteRabbitNeo-13B-v1
```

requests.exceptions.HTTPError: 401

#13

by nick11235 - opened Feb 29, 2024

Discussion

nick11235

Feb 29, 2024

while trying to download the model WhiteRabbitNeo/WhiteRabbitNeo-13B-v1 in text-generation-webui i encounter the following method requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/api/models/WhiteRabbitNeo/WhiteRabbitNeo-13B-v1/tree/main

CarnageCode

Mar 11, 2024

Any solution to this?

dbravo

Mar 11, 2024

You need to create token from hugging face.co
modify token variable with your token in text-genertion-webui/download-model.py
python3 download-model.py WhiteRabbitNeo/WhiteRabbitNeo-13B-v1

CarnageCode

Mar 12, 2024

•

edited Mar 12, 2024

Figured it out, Thanks!

indianLeo

Mar 12, 2024

Do I need to set the HF_TOKEN value with my access token of huggingface? I already did that it is not working, can someone please help me ?

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