Instructions to use allura-org/Bigger-Body-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allura-org/Bigger-Body-8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="allura-org/Bigger-Body-8b") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("allura-org/Bigger-Body-8b") model = AutoModelForMultimodalLM.from_pretrained("allura-org/Bigger-Body-8b") 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 allura-org/Bigger-Body-8b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "allura-org/Bigger-Body-8b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "allura-org/Bigger-Body-8b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/allura-org/Bigger-Body-8b
- SGLang
How to use allura-org/Bigger-Body-8b 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 "allura-org/Bigger-Body-8b" \ --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": "allura-org/Bigger-Body-8b", "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 "allura-org/Bigger-Body-8b" \ --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": "allura-org/Bigger-Body-8b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use allura-org/Bigger-Body-8b with Docker Model Runner:
docker model run hf.co/allura-org/Bigger-Body-8b
Us here at Playtime Co. are excited to welcome you to our QA staff! As a signatory of the Employee Confidentiality Agreement, you are required to keep all information regarding the company and our research confidential.
With that out of the way...
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Welcome to the Bigger Bodies Initiative
Experiment 8B
Usecases
This model was designed for exceptional skill in roleplaying, both with adults and children, for our patent pending Playtime Playground. It seems to have succeeded.
Supported Languages
- Native-quality English
- Mediocre Chinese (further research needed)
Usage (chat template)
<s>[SYSTEM_PROMPT]What to roleplay as[/SYSTEM_PROMPT][INST]User: xxx[/INST]ASSISTANT: yyy</s>
⚠️ WARNING
While Experiment 8B has shown exceptional performance, researchers must maintain safety protocols. Standard containment procedures apply.
Disclaimers
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