Instructions to use stabilityai/StableBeluga-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use stabilityai/StableBeluga-7B with Transformers:

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

pipe = pipeline("text-generation", model="stabilityai/StableBeluga-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("stabilityai/StableBeluga-7B")
model = AutoModelForCausalLM.from_pretrained("stabilityai/StableBeluga-7B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use stabilityai/StableBeluga-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "stabilityai/StableBeluga-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "stabilityai/StableBeluga-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/stabilityai/StableBeluga-7B

SGLang

How to use stabilityai/StableBeluga-7B 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/StableBeluga-7B" \
    --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": "stabilityai/StableBeluga-7B",
		"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 "stabilityai/StableBeluga-7B" \
        --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": "stabilityai/StableBeluga-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use stabilityai/StableBeluga-7B with Docker Model Runner:
```
docker model run hf.co/stabilityai/StableBeluga-7B
```

Add chat template

by Rocketknight1 HF Staff - opened Oct 5, 2023

base: refs/heads/main

←

from: refs/pr/5

Discussion Files changed

+26

-1

Files changed (2) hide show

README.md +25 -1
tokenizer_config.json +1 -0

README.md CHANGED Viewed

@@ -48,6 +48,30 @@ Your prompt here
 The output of Stable Beluga 7B
 ```
 ## Model Details
 * **Developed by**: [Stability AI](https://stability.ai/)
@@ -96,4 +120,4 @@ Beluga is a new technology that carries risks with use. Testing conducted to dat
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
-```

 The output of Stable Beluga 7B
 ```
+This formatting is also available via a pre-defined Transformers chat template, which means that lists of messages can be formatted for you with the `apply_chat_template()` method:
+```python
+chat = [
+  {"role": "system", "content": "This is a system prompt, please behave and help the user."},
+  {"role": "user", "content": "Your prompt here"},
+]
+tokenizer.apply_chat_template(chat, tokenize=False)
+```
+which will yield:
+```
+### System:
+This is a system prompt, please behave and help the user.
+### User:
+Your prompt here
+```
+If you use `tokenize=True` and `return_tensors="pt"` instead, then you will get a tokenized and formatted conversation ready to pass to `model.generate()`.
 ## Model Details
 * **Developed by**: [Stability AI](https://stability.ai/)
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
+```

tokenizer_config.json CHANGED Viewed

@@ -7,6 +7,7 @@
     "rstrip": false,
     "single_word": false
   },
   "clean_up_tokenization_spaces": false,
   "eos_token": {
     "__type": "AddedToken",

     "rstrip": false,
     "single_word": false
   },
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{ '### ' + message['role'].title() + ':\n' + message['content'] + '\n\n' }}{% endfor %}{% if add_generation_prompt %}{{ '###Assistant:\n' }}{% endif %}",
   "clean_up_tokenization_spaces": false,
   "eos_token": {
     "__type": "AddedToken",