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README.md

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+---
+datasets:
+- jondurbin/airoboros-gpt4-1.4.1
+---
+# NTK-Aware Scaled RoPE QLoRA Finetune of airoboros-33b-gpt4-1.4.1 (LoRA)
+
+LoRA Weights can be found here: https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-NTK-16384-GPTQ
+
+fp16 weights can be found here: https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-NTK-16384-fp16
+
+Analogue with RoPE Position Interpolation (PI) technique: https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-PI-8192-LoRA
+
+## Overview
+
+This is [Jon Durbin's Airoboros 33B GPT4 1.4](https://huggingface.co/jondurbin/airoboros-33b-gpt4-1.4) (LoRA) with several key modifications:
+- Context length extended to 16384 by NTK-Aware Scaled RoPE Embeddings, but NOT via the superHOT LoRA. I started with base Llama-33b.
+- Training sequences beyond 2048 have the target truncated to equal 2048.
+- Used airoboros-gpt4-1.4.1 dataset instead of airoboros-gpt4-1.4
+
+Otherwise, I emulated the training process as closely as possible (rank 64 QLoRA) It was trained on 1x RTX 6000 Ada for ~43 hours.