uploaded readme

README.md

@@ -0,0 +1,77 @@
+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
+
+