Instructions to use Novi-AI/Novi-Nano-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Novi-AI/Novi-Nano-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="Novi-AI/Novi-Nano-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Novi-AI/Novi-Nano-Instruct")
model = AutoModelForCausalLM.from_pretrained("Novi-AI/Novi-Nano-Instruct", device_map="auto")
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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Novi-AI/Novi-Nano-Instruct with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Novi-AI/Novi-Nano-Instruct

SGLang

How to use Novi-AI/Novi-Nano-Instruct 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 "Novi-AI/Novi-Nano-Instruct" \
    --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": "Novi-AI/Novi-Nano-Instruct",
		"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 "Novi-AI/Novi-Nano-Instruct" \
        --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": "Novi-AI/Novi-Nano-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Novi-AI/Novi-Nano-Instruct with Docker Model Runner:
```
docker model run hf.co/Novi-AI/Novi-Nano-Instruct
```

Novi-Nano-Instruct

File size: 885 Bytes

333958b

{
  "model": "Novi-Nano-Instruct",
  "base_model": "Novi-AI/Novi-Nano-Base",
  "parameters": 1258848,
  "trainable_parameters": 1258848,
  "base_vocab_size": 8192,
  "final_vocab_size": 8195,
  "added_special_tokens": [
    "<|im_start|>",
    "<|im_end|>"
  ],
  "context_length": 256,
  "epochs": 5,
  "train_examples": 500,
  "validation_examples": 10,
  "batch_size": 16,
  "gradient_accumulation_steps": 2,
  "effective_batch_size": 32,
  "learning_rate": 2e-05,
  "weight_decay": 0.01,
  "warmup_ratio": 0.1,
  "scheduler": "cosine",
  "bf16": false,
  "fp16": false,
  "validation_loss": 5.153667449951172,
  "validation_perplexity": 173.0650352145914,
  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\\n' + message['content'] + '<|im_end|>' + '\\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}"
}