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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,6 +7,15 @@ language:
|
|
| 7 |
- pt
|
| 8 |
pipeline_tag: text-generation
|
| 9 |
library_name: transformers
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
---
|
| 11 |
# 🧠 NanoThink-5M
|
| 12 |
|
|
|
|
| 7 |
- pt
|
| 8 |
pipeline_tag: text-generation
|
| 9 |
library_name: transformers
|
| 10 |
+
tags:
|
| 11 |
+
- thinking
|
| 12 |
+
- reasoning
|
| 13 |
+
- reason
|
| 14 |
+
- think
|
| 15 |
+
- lowparams
|
| 16 |
+
- 5m_params
|
| 17 |
+
- thinkset-ptbr
|
| 18 |
+
- gpt2
|
| 19 |
---
|
| 20 |
# 🧠 NanoThink-5M
|
| 21 |
|