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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)
+
+
+Llama-2-7b-chat-hf - bnb 4bits
+- Model creator: https://huggingface.co/ArashMarandi/
+- Original model: https://huggingface.co/ArashMarandi/Llama-2-7b-chat-hf/
+
+
+
+
+Original model description:
+---
+library_name: transformers
+license: mit
+base_model: EleutherAI/gpt-neo-1.3B
+tags:
+- generated_from_trainer
+model-index:
+- name: Llama-2-7b-chat-hf
+  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. -->
+
+# Llama-2-7b-chat-hf
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1051
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 5    | 1.3871          |
+| 3.5512        | 2.0   | 10   | 0.1261          |
+| 3.5512        | 3.0   | 15   | 0.1115          |
+| 0.1406        | 4.0   | 20   | 0.1050          |
+| 0.1406        | 5.0   | 25   | 0.1016          |
+| 0.0738        | 6.0   | 30   | 0.0973          |
+| 0.0738        | 7.0   | 35   | 0.0974          |
+| 0.0526        | 8.0   | 40   | 0.0992          |
+| 0.0526        | 9.0   | 45   | 0.1030          |
+| 0.025         | 10.0  | 50   | 0.1045          |
+| 0.025         | 11.0  | 55   | 0.1055          |
+| 0.0224        | 12.0  | 60   | 0.1059          |
+| 0.0224        | 13.0  | 65   | 0.1054          |
+| 0.0134        | 14.0  | 70   | 0.1051          |
+| 0.0134        | 15.0  | 75   | 0.1051          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1
+
+