Text Generation
Transformers
Safetensors
Korean
English
nova_gdn2
nova
gdn2
gated-deltanet
hybrid
korean
custom_code
Instructions to use Insightnova/Nova-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Insightnova/Nova-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Insightnova/Nova-1B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Insightnova/Nova-1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Insightnova/Nova-1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Insightnova/Nova-1B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Insightnova/Nova-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Insightnova/Nova-1B
- SGLang
How to use Insightnova/Nova-1B 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 "Insightnova/Nova-1B" \ --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": "Insightnova/Nova-1B", "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 "Insightnova/Nova-1B" \ --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": "Insightnova/Nova-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Insightnova/Nova-1B with Docker Model Runner:
docker model run hf.co/Insightnova/Nova-1B
Download config.json from Insightnova/Nova-1B: direct link, hf CLI and curl.
- Browser
- Download file 1.4 kB
-
https://huggingface.co/Insightnova/Nova-1B/resolve/main/config.json
- Command line
-
hf download hf://Insightnova/Nova-1B/config.json
-
curl -L -o config.json https://huggingface.co/Insightnova/Nova-1B/resolve/main/config.json
1.4 kB
| { | |
| "architecture_options": { | |
| "attention_backend": "flash_2", | |
| "attention_bias": false, | |
| "attn_qk_norm": true, | |
| "d_model": 1536, | |
| "enable_swa": true, | |
| "ffn_bias": false, | |
| "ffn_hidden": 6144, | |
| "gdn_allow_neg_eigval": true, | |
| "gdn_conv_bias": false, | |
| "gdn_conv_size": 4, | |
| "gdn_expand_v": 2.0, | |
| "head_dim": 128, | |
| "layer_norm_bias": false, | |
| "layer_norm_eps": 1e-05, | |
| "lm_head_bias": false, | |
| "n_heads": 12, | |
| "n_kv_heads": 4, | |
| "n_layers": 26, | |
| "rope_full_precision": true, | |
| "rope_theta": 500000, | |
| "swa_full_attention_first_layer": false, | |
| "swa_full_attention_last_layer": false, | |
| "swa_window": 4096, | |
| "tie_word_embeddings": true | |
| }, | |
| "architecture_preset": "main", | |
| "architectures": [ | |
| "NovaForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_nova.NovaConfig", | |
| "AutoModel": "modeling_nova.NovaModel", | |
| "AutoModelForCausalLM": "modeling_nova.NovaForCausalLM" | |
| }, | |
| "bos_token_id": 1, | |
| "compute_dtype": "bfloat16", | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "fast_decode": true, | |
| "generation_context_policy": "remaining", | |
| "hidden_size": 1536, | |
| "inference_backend": "torch", | |
| "max_position_embeddings": 8192, | |
| "model_type": "nova_gdn2", | |
| "num_hidden_layers": 26, | |
| "pad_token_id": 0, | |
| "tokenizer_vocab_size": 65536, | |
| "transformers_version": "4.57.6", | |
| "use_cache": false, | |
| "vocab_size": 65536 | |
| } | |