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
Upload model.safetensors
Browse files- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38d4cc4de88d154e79e12238934f1e265e862edcfdf7854779d4c490db9052a6
|
| 3 |
+
size 21962072
|