Instructions to use daslab-testing/Apertus-3B-wnorm2both with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use daslab-testing/Apertus-3B-wnorm2both with Transformers:

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

pipe = pipeline("text-generation", model="daslab-testing/Apertus-3B-wnorm2both")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("daslab-testing/Apertus-3B-wnorm2both")
model = AutoModelForCausalLM.from_pretrained("daslab-testing/Apertus-3B-wnorm2both")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use daslab-testing/Apertus-3B-wnorm2both with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "daslab-testing/Apertus-3B-wnorm2both"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "daslab-testing/Apertus-3B-wnorm2both",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/daslab-testing/Apertus-3B-wnorm2both

SGLang

How to use daslab-testing/Apertus-3B-wnorm2both 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 "daslab-testing/Apertus-3B-wnorm2both" \
    --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": "daslab-testing/Apertus-3B-wnorm2both",
		"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 "daslab-testing/Apertus-3B-wnorm2both" \
        --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": "daslab-testing/Apertus-3B-wnorm2both",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use daslab-testing/Apertus-3B-wnorm2both with Docker Model Runner:
```
docker model run hf.co/daslab-testing/Apertus-3B-wnorm2both
```

BlackSamorez commited on 30 days ago

Commit

1abc193

verified ·

1 Parent(s): 089ffeb

Upload tokenizer

Browse files

Files changed (3) hide show

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tokenizer.json +3 -0
tokenizer_config.json +16 -0

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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "is_local": false,
+  "local_files_only": false,
+  "model_input_names": [
+    "input_ids",
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+  ],
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>"
+}