Instructions to use Novi-AI/Novi-Mini-Base-Preview-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Novi-AI/Novi-Mini-Base-Preview-1 with Transformers:

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

pipe = pipeline("text-generation", model="Novi-AI/Novi-Mini-Base-Preview-1")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Novi-AI/Novi-Mini-Base-Preview-1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Novi-AI/Novi-Mini-Base-Preview-1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Novi-AI/Novi-Mini-Base-Preview-1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Novi-AI/Novi-Mini-Base-Preview-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Novi-AI/Novi-Mini-Base-Preview-1

SGLang

How to use Novi-AI/Novi-Mini-Base-Preview-1 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-Mini-Base-Preview-1" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Novi-AI/Novi-Mini-Base-Preview-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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-Mini-Base-Preview-1" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Novi-AI/Novi-Mini-Base-Preview-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Novi-AI/Novi-Mini-Base-Preview-1 with Docker Model Runner:
```
docker model run hf.co/Novi-AI/Novi-Mini-Base-Preview-1
```

Novi-Mini-Base-Preview-1 / config.json

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{
  "architecture_style": "bananamind2",
  "architectures": [
    "ProjectKairoMiniForCausalLM"
  ],
  "bos_token_id": 1,
  "dtype": "float32",
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_size": 256,
  "intermediate_size": 768,
  "lft": false,
  "max_position_embeddings": 4096,
  "model_type": "bananaall",
  "num_attention_heads": 4,
  "num_hidden_layers": 10,
  "num_key_value_heads": 2,
  "pad_token_id": 0,
  "rms_norm_eps": 1e-06,
  "rope_theta": 100000.0,
  "ternary": false,
  "tie_word_embeddings": true,
  "transformers_version": "5.14.1",
  "use_cache": false,
  "vocab_size": 8192
}

	{
	"architecture_style": "bananamind2",
	"architectures": [
	"ProjectKairoMiniForCausalLM"
	],
	"bos_token_id": 1,
	"dtype": "float32",
	"eos_token_id": 2,
	"head_dim": 64,
	"hidden_size": 256,
	"intermediate_size": 768,
	"lft": false,
	"max_position_embeddings": 4096,
	"model_type": "bananaall",
	"num_attention_heads": 4,
	"num_hidden_layers": 10,
	"num_key_value_heads": 2,
	"pad_token_id": 0,
	"rms_norm_eps": 1e-06,
	"rope_theta": 100000.0,
	"ternary": false,
	"tie_word_embeddings": true,
	"transformers_version": "5.14.1",
	"use_cache": false,
	"vocab_size": 8192
	}