Create README.md

README.md

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+---
+datasets:
+- jondurbin/airoboros-gpt4-1.4.1
+- ehartford/dolphin
+---
+
+
+# Airophin: A NTK-by-Parts RoPE Scaled QLoRA Fine-tune of Llama-2-13b (LoRA weights)
+
+
+<!-- LoRA Weights can be found here: https://huggingface.co/bhenrym14/airophin-13b-pntk-16k-LoRA -->
+GPTQ weights can be found here: https://huggingface.co/bhenrym14/airophin-13b-pntk-16k-GPTQ
+fp16 weights can be found here: https://huggingface.co/bhenrym14/airophin-13b-pntk-16k-fp16
+
+## Overview
+
+This is a finetune of Llama-2-13b, intended to extend the useful context window to 16384 tokens. There are two training phases:
+1.  It is first trained on a long-context (7000-8192 tokens) subset of [dolphin](https://huggingface.co/datasets/ehartford/dolphin), an orca-like dataset (GPT4 split only). This amounts to roughly 110mm tokens. Airoboros-like training prompt was used instead of the dolphin system prompt. Training was done with partial NTK scaling applied (scale factor of 4). This took ~20 hours.
+2.  The model was then finetuned on [Jon Durbin's Airoboros GPT4 1.4.1](https://huggingface.co/datasets/jondurbin/airoboros-gpt4-1.4.1), with same scaling approach, for 2 epochs. This took ~15 hours.
+
+**This is a QLoRA fine-tune (rank 64)**. 
+
+All training was performed with 1x RTX 6000 Ada.
+
+For full model card, including how to use PNTK, see any of the two merged models linked above.