Text Generation
Transformers
Safetensors
Portuguese
nanothink
thinking
reasoning
reason
think
lowparams
5m_params
thinkset-ptbr
gpt2
Instructions to use AxionLab-Co/NanoThink-5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AxionLab-Co/NanoThink-5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AxionLab-Co/NanoThink-5M")# Load model directly from transformers import NanoThink model = NanoThink.from_pretrained("AxionLab-Co/NanoThink-5M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use AxionLab-Co/NanoThink-5M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AxionLab-Co/NanoThink-5M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AxionLab-Co/NanoThink-5M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AxionLab-Co/NanoThink-5M
- SGLang
How to use AxionLab-Co/NanoThink-5M 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 "AxionLab-Co/NanoThink-5M" \ --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": "AxionLab-Co/NanoThink-5M", "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 "AxionLab-Co/NanoThink-5M" \ --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": "AxionLab-Co/NanoThink-5M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use AxionLab-Co/NanoThink-5M with Docker Model Runner:
docker model run hf.co/AxionLab-Co/NanoThink-5M
| { | |
| "model_type": "nanothink", | |
| "architectures": ["NanoThink"], | |
| "vocab_size": 1229, | |
| "max_position_embeddings": 256, | |
| "hidden_size": 128, | |
| "num_hidden_layers": 4, | |
| "num_attention_heads": 4, | |
| "intermediate_size": 512, | |
| "hidden_act": "gelu", | |
| "layer_norm_eps": 1e-5, | |
| "initializer_range": 0.02, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0 | |
| } |