xmanii/Llama3-8b-simorgh-16bit

model-index:

• name: xmanii/llama-3-8b-instruct-bnb-4bit-persian description: | Model Information

  Developed by: xmanii License: Apache-2.0 Finetuned from model: unsloth/llama-3-8b-instruct-bnb-4bit

  Model Description

  This LLaMA model was fine-tuned on a unique Persian dataset of Alpaca chat conversations, consisting of approximately 8,000 rows. Our training process utilized two H100 GPUs, completing in just under 1 hour. We leveraged the power of Unsloth and Hugging Face's TRL library to accelerate our training process by 2x.

  Open-Source Contribution

  This model is open-source, and we invite the community to use and build upon our work. The fine-tuned LLaMA model is designed to improve Persian conversation capabilities, and we hope it will contribute to the advancement of natural language processing in the Persian language.

  Using the Model

  To use this model, you can utilize the Hugging Face Transformers library. Note: The default usage code provided by Hugging Face is not applicable for this model. Instead, follow the example below:

  messages = [{"from": "human", "value": prompt},]
  

  Finally, use the pipeline to generate responses:

  pipe = pipeline("text-generation", model="xmanii/Llama3-8b-simorgh-16bit")
  pipe(messages)
  

  Full 16-bit Merged Model

  For a full 16-bit merged model, please check out xmanii/Llama3-8b-simorgh-16bit.

  Future Work

  We are working on quantizing the models and bringing them to ollama.