--- license: llama3 library_name: peft base_model: unsloth/llama-3-8b-bnb-4bit model-index: - name: Llama3_8B_Odia_Unsloth results: [] --- # Llama3_8B_Odia_Unsloth Llama3_8B_Odia_Unsloth is a fine-tuned Odia large language model with 8 billion parameters, and it is based on Llama3. The model is fine-tuned on a comprehensive [171k Odia instruction set](https://huggingface.co/datasets/OdiaGenAI/all_combined_odia_171k), encompassing domain-specific and cultural nuances. The fine-tuning process leverages Unsloth, expediting the training process for optimal efficiency. For more details about the model, data, training procedure, and evaluations, go through the blog [post](https://www.odiagenai.org/blog/odiagenai-releases-llama3-fine-tuned-model-for-the-odia-language). ## Model Description * Model type: A 8B fine-tuned model * Primary Language(s): Odia and English * License: Llama3 ## Inference Sample inference script. ``` from unsloth import FastLanguageModel import torch max_seq_length = 2048 dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+ load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False. model, tokenizer = FastLanguageModel.from_pretrained( model_name = "OdiaGenAI-LLM/Llama3_8B_Odia_Unsloth", max_seq_length = max_seq_length, dtype = dtype, load_in_4bit = load_in_4bit, ) alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: {} ### Input: {} ### Response: {}""" FastLanguageModel.for_inference(model) inputs = tokenizer( [ alpaca_prompt.format( "ଓଡିଶାର ରାଜଧାନୀ କ’ଣ?", # instruction "", # input "", # output - leave this blank for generation! ) ], return_tensors = "pt").to("cuda") outputs = model.generate(**inputs, max_new_tokens = 512, use_cache = True) tokenizer.batch_decode(outputs) ``` ### Citation Information If you find this model useful, please consider giving 👏 and citing: ``` @misc{Llama3_8B_Odia_Unsloth, author = {Shantipriya Parida and Sambit Sekhar and Debasish Dhal and Shakshi Panwar}, title = {OdiaGenAI Releases Llama3 Fine-tuned Model for the Odia Language}, year = {2024}, publisher = {Hugging Face}, journal = {Hugging Face repository}, howpublished = {\url{https://huggingface.co/OdiaGenAI}}, } ``` ### Contributions - Dr.Shantipriya Parida - Sambit Sekhar - Debasish Dhal - Shakshi Panwar