Instructions to use allura-org/Bigger-Body-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use allura-org/Bigger-Body-12b with Transformers:

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

pipe = pipeline("text-generation", model="allura-org/Bigger-Body-12b")
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-12b")
model = AutoModelForCausalLM.from_pretrained("allura-org/Bigger-Body-12b")
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

vLLM

How to use allura-org/Bigger-Body-12b 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-12b"
# 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-12b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/allura-org/Bigger-Body-12b

SGLang

How to use allura-org/Bigger-Body-12b 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-12b" \
    --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-12b",
		"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-12b" \
        --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-12b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use allura-org/Bigger-Body-12b with Docker Model Runner:
```
docker model run hf.co/allura-org/Bigger-Body-12b
```
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

Experiment 12B

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>

Testing Logs

AliCat

Fun to use, nice swipe variation, gives me lots to RP off of. Rarely, it'll start to loop, but a quick swipe fixes no problem.

Tofumagate

First impressions (temp 1, min-p .05-.1)

It passes my silly logic tests (read: me trolling random characters)

Haven't seen any slop yet

Writes short and snappy replies

...yet not too short, like Mahou, and can write longer responses if the context warrants it

Follows card formatting instructions

If this holds up to 16K it will be constantly in the hopper alongside Mag-Mell for me. I'm biased towards shorter responses with smarts. :)

Bowza

tantalizing writing, leagues better then whatever is available online

⚠️ WARNING

While Experiment 12B has shown exceptional performance, researchers must maintain safety protocols. Standard containment procedures apply.

Disclaimers

Playtime Co., Poppy Playtime, Huggy Wuggy, and all related properties are trademarks of Mob Entertainment LLC. Not affiliated with or endorsed by Mob Entertainment.
Obviously, children should not be using it. The mention up there was a part of the bit. This is all a bit!!!

Go to regular model card