Create README.md

README.md

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+---
+license: mit
+datasets:
+- siacus/dv_subject
+base_model:
+- meta-llama/Llama-2-7b-chat-hf
+new_version: siacus/llama-2-7b-dv
+---
+The data used to train the model are on Huggingface under [siacus/dv_subject](https://huggingface.co/datasets/siacus/dv_subject)
+
+The small-dv version of the fine-tuned model works on a training-set of 5,000 randomly sampled data.
+
+The large version works on the whole 76.1K training records.
+
+The test set is of size 32.6K rows.
+
+F16 version from merged weights created with llama.cpp on a CUDA GPU and the 4bit quantized version created on a Mac M2 Ultra Metal architecture. If you want to use the 4bit quantized version on CUDA, please quantize it directly from the F16 version.
+
+For more information about this model refer the main repository for the supplementary material of the manuscript 
+[Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research](https://arxiv.org/abs/2411.00890).