Update README.md

README.md

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 ## Overview
 
-This is [larryvrh/Yi-34B-200K-Llamafied](https://huggingface.co/larryvrh/Yi-34B-200K-Llamafied), with instruction tuning performed with Jon Durbin's [jondurbin/airoboros-3.1](https://huggingface.co/datasets/jondurbin/airoboros-3.1) dataset. That base model is [01-ai/Yi-34B-200k](https://huggingface.co/01-ai/Yi-34B-200k), but using llama2 model definitions and tokenizer to remove any remote code requirements.
-
-**This is a (merged) QLoRA fine-tune (rank 64)**. 
-
-The finetune was performed with 1x RTX 6000 Ada (~80 hours to this checkpoint). Prompts were truncated to 4096 tokens (for speed and VRAM headroom).
-
-I have done very little testing with this model, so feedback on real world performance is appreciated!
-
-## How to Use
-
-Use as you would any other Hugging Face fp16 llama-2 model.
-
-## Prompting:
-
-Model was trained with llama-2 chat prompt format. See [jondurbin/airoboros-l2-13b-3.1.1](https://huggingface.co/jondurbin/airoboros-l2-13b-3.1.1) model card for details.
-
+This is a 4.5bpw quantized version of [bhenrym14/airoboros-3_1-yi-34b-200k](https://huggingface.co/bhenrym14/airoboros-3_1-yi-34b-200k),