Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) CulturaX-zh-unsupervised-20241030-171238 - AWQ - Model creator: https://huggingface.co/autoprogrammer/ - Original model: https://huggingface.co/autoprogrammer/CulturaX-zh-unsupervised-20241030-171238/ Original model description: --- library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-1B-Instruct tags: - generated_from_trainer model-index: - name: CulturaX-zh-unsupervised-20241030-171238 results: [] --- # CulturaX-zh-unsupervised-20241030-171238 This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - training_steps: 6500 ### Training results ### Framework versions - Transformers 4.46.1 - Pytorch 2.4.1 - Datasets 3.0.1 - Tokenizers 0.20.1