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README.md

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+
+---
+
+library_name: transformers
+license: other
+base_model: meta-llama/Llama-3.1-8B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: SimpleBerry/LLaMA-O1-Base-1127
+  results: []
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/LLaMA-O1-Base-1127-GGUF
+This is quantized version of [SimpleBerry/LLaMA-O1-Base-1127](https://huggingface.co/SimpleBerry/LLaMA-O1-Base-1127) created using llama.cpp
+
+# Original Model Card
+
+
+<!-- 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. -->
+
+# SimpleBerry/LLaMA-O1-Base-1127
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the longcot_pt dataset.
+
+Do not use this model without supervised training, please use [LLaMA-O1-Supervised-1129](https://huggingface.co/SimpleBerry/LLaMA-O1-Supervised-1129) for directly usage.
+
+## 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: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 24
+- total_train_batch_size: 24
+- total_eval_batch_size: 192
+- 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: cosine
+- num_epochs: 4.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.3.1
+- Datasets 3.1.0
+- Tokenizers 0.20.1
+