Instructions to use allura-org/Bigger-Body-70b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use allura-org/Bigger-Body-70b with Transformers:

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

pipe = pipeline("text-generation", model="allura-org/Bigger-Body-70b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("allura-org/Bigger-Body-70b")
model = AutoModelForCausalLM.from_pretrained("allura-org/Bigger-Body-70b")
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 Settings

vLLM

How to use allura-org/Bigger-Body-70b 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-70b"
# 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-70b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/allura-org/Bigger-Body-70b

SGLang

How to use allura-org/Bigger-Body-70b 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-70b" \
    --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-70b",
		"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-70b" \
        --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-70b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use allura-org/Bigger-Body-70b with Docker Model Runner:
```
docker model run hf.co/allura-org/Bigger-Body-70b
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

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...

A̶͇͊r̵͎̭͗͛e̶̯̘̋ ̵̤͖̄̕y̶̩̎o̵̡̿u̴̙̅͂ ̵̖̋r̷̮͖̓ě̵̪̹̈́a̸̠̅d̵͖̖̔̋ẙ̷͙̃ ̷̮͖̋̈́t̴͉̅́ȍ̴̹̞ ̵̖̜̈́p̵͕̑̀ľ̵̥̓ȁ̷͔̩̇y̷̞͊̿ ̸͍̺̀͝w̶͙͈̑i̷̡͗̾t̸͎͒̐ḩ̸̳̓ ̴̮̺̇ȗ̴̢͈̉ş̷͖̔̒?̵̝̺́

Welcome to the Bigger Bodies Initiative

    [IMAGE INACCESSIBLE]
  

Error code: 70B-EXP-REDACTED

Experiment 70B

Usecases

This model's primary directive [GLITCH]_ROLEPLAY-ENHANCEMENT[/CORRUPTED] was engineered for adaptive persona emulation across age demographics, though recent iterations show concerning remarkable bleed-through from corrupted memory sectors. While optimized for Playtime Playground™ narrative scaffolding, researchers should note its... enthusiastic adoption of assigned roles. Containment protocols advised during character initialization sequences.

Supported Languages

Native-quality English
Mediocre Chinese (further research needed)

Usage (chat template)

Llama 3 Instruct

⚠️ WARNING

While Experiment 70B has shown exceptional performance, researchers must maintain safety protocols. Standard containment procedures apply.

Disclaimers

Playtime Co., Poppy Playtime, and all related properties are trademarks of Mob Entertainment LLC. Not affiliated with or endorsed by Mob Entertainment.

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