Fine-Tuned Llama-3-8B Model
This model is a fine-tuned version of NousResearch/Meta-Llama-3-8B using LoRA and 8-bit quantization.
Usage
To load the model:
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "ubiodee/Test_Plutus"
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_name)
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "ubiodee/Test_Plutus"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ubiodee/Test_Plutus", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'