Instructions to use llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic with Transformers:

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

pipe = pipeline("text-generation", model="llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic")
model = AutoModelForMultimodalLM.from_pretrained("llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic

SGLang

How to use llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic 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 "llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic" \
    --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": "llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic",
		"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 "llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic" \
        --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": "llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic with Docker Model Runner:
```
docker model run hf.co/llmfan46/gemma-4-12B-coder-fable5-composer2.5-v1-uncensored-heretic
```

what is "coder-fable5-composer2.5" ?!

by pikkaa - opened 6 days ago

Discussion

pikkaa

6 days ago

it's uncensored. what then all those variant's for other models also , like here "coder-fable5-composer2.5" ???

llmfan46

Owner 5 days ago

it's uncensored. what then all those variant's for other models also , like here "coder-fable5-composer2.5" ???

First I am not the one who made this model, what I did was uncensor it, the original model was created by:

https://huggingface.co/yuxinlu1

So direct all your questions to the author of this model.

What I know is that this is a finetune of gemma-4-12B-it that used distillation from Anthropic's Fable 5 and I am assuming based on the name also uses distillation from another model called "Composer 2.5" which seems like it's a model released by a company called "Cursor" which worked together with SpaceXAI in the training/creation of this model.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment