Text Generation
Transformers
English
How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MathGPT/DinoSpark"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MathGPT/DinoSpark",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/MathGPT/DinoSpark
Quick Links
A newer version of this model is available: ashabrawy/bert-base-uncased_finetuning_distillation

Model Card for Model ID

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

  • Developed by: A team of 2 teenagers
  • Model type: Text generation
  • Language(s) (NLP): english
  • License: apache 2
  • Finetuned from model DeepSeek-R1
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MathGPT/DinoSpark

Finetuned
(1)
this model

Dataset used to train MathGPT/DinoSpark