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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+phi-2-alpaca-cleaned - bnb 4bits
+- Model creator: https://huggingface.co/ohashi56225/
+- Original model: https://huggingface.co/ohashi56225/phi-2-alpaca-cleaned/
+
+
+
+
+Original model description:
+---
+license: mit
+datasets:
+- yahma/alpaca-cleaned
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# phi-2-alpaca-cleaned
+This model is an instruction-tuned version of the [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) model fine-tuned on the [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) dataset.
+
+In the training, full parameter fine-tuning of phi-2 was performed, and LoRA was not used.
+
+## Text Format
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+### Instruction:
+Based on the information provided, rewrite the sentence by changing its tense from past to future.
+
+### Input:
+She played the piano beautifully for hours and then stopped as it was midnight.	
+
+### Response:
+She will play the piano beautifully for hours and then stop as it will be midnight.	
+```
+
+## Training
+- GPUs: 8 × A6000 48GB
+- per_device_train_batch_size: 8
+- gradient_accumulation_steps: 8
+- per_device_eval_batch_size: 8
+- num_train_epochs: 3
+- learning_rate: 2e-5
+- warmup_ratio: 0.03
+
+## Software
+- pytorch: 2.1.2
+- transformers: 4.38.0.dev0
+- accelerate: 0.26.1
+- deepspeed: 0.13.1
+
+