| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| mfuyu_llava_v3_8192_480p - bnb 4bits | |
| - Model creator: https://huggingface.co/Mantis-VL/ | |
| - Original model: https://huggingface.co/Mantis-VL/mfuyu_llava_v3_8192_480p/ | |
| Original model description: | |
| --- | |
| license: cc-by-nc-4.0 | |
| base_model: MFuyu/mfuyu_llava_8192_480p | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: mfuyu_llava_v3_8192_480p | |
| results: [] | |
| --- | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # mfuyu_llava_v3_8192_480p | |
| This model is a fine-tuned version of [MFuyu/mfuyu_llava_8192_480p](https://huggingface.co/MFuyu/mfuyu_llava_8192_480p) 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: 1e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 16 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 64 | |
| - total_eval_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.03 | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.37.0 | |
| - Pytorch 2.2.1 | |
| - Datasets 2.17.1 | |
| - Tokenizers 0.15.2 | |