Instructions to use Veetance/Narrative-Brain-5B-NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Veetance/Narrative-Brain-5B-NF4 with Transformers:

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

pipe = pipeline("text-generation", model="Veetance/Narrative-Brain-5B-NF4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Veetance/Narrative-Brain-5B-NF4")
model = AutoModelForCausalLM.from_pretrained("Veetance/Narrative-Brain-5B-NF4")
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

vLLM

How to use Veetance/Narrative-Brain-5B-NF4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Veetance/Narrative-Brain-5B-NF4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Veetance/Narrative-Brain-5B-NF4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Veetance/Narrative-Brain-5B-NF4

SGLang

How to use Veetance/Narrative-Brain-5B-NF4 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 "Veetance/Narrative-Brain-5B-NF4" \
    --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": "Veetance/Narrative-Brain-5B-NF4",
		"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 "Veetance/Narrative-Brain-5B-NF4" \
        --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": "Veetance/Narrative-Brain-5B-NF4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Veetance/Narrative-Brain-5B-NF4 with Docker Model Runner:
```
docker model run hf.co/Veetance/Narrative-Brain-5B-NF4
```

Narrative-Brain-9B-NF4

This repository contains the local Narrative Brain runtime used by the Asset Editor Stealth refine path.

Model Details

Runtime name: Narrative Brain 9B
Actual checkpoint class: compact Qwen2-family causal LM
Quantization: NF4 via bitsandbytes
Primary use: prompt refinement, prompt enhancement, and in-house narrative steering inside the Asset Editor stack
License: Apache-2.0

Runtime Notes

The repository preserves the historical narrative_brain_9b path name used by the app.
The current checkpoint is a compact runtime, not a full 9B-class Qwen block.
Local logs identify the repaired architecture as Qwen2ForCausalLM after removal of an incorrect Qwen3 wrapper.

Included Runtime Components

model.safetensors
config.json
generation_config.json
chat_template.jinja
special_tokens_map.json
vocab.json
merges.txt
tokenizer.json
tokenizer_config.json

Integration

Optimized for the Veetance Asset Editor Stealth refine runtime.

Veetance
/

Narrative-Brain-5B-NF4

Narrative-Brain-9B-NF4

Model Details

Runtime Notes

Included Runtime Components

Integration

Links