Text Generation
Transformers
Safetensors
English
3-digit-basic-calc
arithmetic
process-supervision
scratchpad
chain-of-thought
from-scratch
interpretability
small-language-model
looped-transformer
custom_code
Instructions to use vmal/3-digit-basic-calc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vmal/3-digit-basic-calc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="vmal/3-digit-basic-calc", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("vmal/3-digit-basic-calc", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use vmal/3-digit-basic-calc with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "vmal/3-digit-basic-calc" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "vmal/3-digit-basic-calc", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/vmal/3-digit-basic-calc
- SGLang
How to use vmal/3-digit-basic-calc 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 "vmal/3-digit-basic-calc" \ --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": "vmal/3-digit-basic-calc", "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 "vmal/3-digit-basic-calc" \ --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": "vmal/3-digit-basic-calc", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use vmal/3-digit-basic-calc with Docker Model Runner:
docker model run hf.co/vmal/3-digit-basic-calc
- Xet hash:
- 23647e076c6169c984a5bc3899e62af71eb5218af6a1891af9eb10a348e3ed4b
- Size of remote file:
- 6.39 MB
- SHA256:
- 2c3ce8133b29ab0b902ff00217d3d917555df81a1bba202bcc47eeef34ab6411
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