How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LLM-course/supermodell"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LLM-course/supermodell",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/LLM-course/supermodell
Quick Links

supermodell

Chess model submitted to the LLM Course Chess Challenge.

Submission Info

  • Submitted by: YassAII
  • Parameters: 864,128
  • Organization: LLM-course

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("LLM-course/supermodell", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("LLM-course/supermodell", trust_remote_code=True)

Evaluation

This model is evaluated at the Chess Challenge Arena.

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Model size
864k params
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