Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,34 @@
+
+---
+
+license: apache-2.0
+language:
+- en
+- hi
+metrics:
+- perplexity
+base_model: meta-llama/Llama-2-7b-hf
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- code
+datasets:
+- zicsx/mC4-Hindi-Cleaned-3.0
+
+---
+
+![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
+
+# QuantFactory/Llama2-7B-Hindi-finetuned-GGUF
+This is quantized version of [subhrokomol/Llama2-7B-Hindi-finetuned](https://huggingface.co/subhrokomol/Llama2-7B-Hindi-finetuned) created using llama.cpp
+
+# Original Model Card
+
+
+
+# Finetune Llama-2-7B-hf on Hindi dataset after transtokenization
+This model was trained on 24GB of RTX A500 on zicsx/mC4-Hindi-Cleaned-3.0 dataset (1%) for 3 hours.
+
+We used Hugging Face PEFT-LoRA PyTorch for training.
+
+Transtokenization process in  --