How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="ubiodee/plutus_llm")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ubiodee/plutus_llm")
model = AutoModelForCausalLM.from_pretrained("ubiodee/plutus_llm")
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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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