This model was created as an experiment on using LoRA extraction to replicate Openchat-3.5-0106 using Mistral-7B-v0.2 as a base model instead of the original Mistral-7B-v0.1.

Openchat-3.5-0106 is an excellent model but was based on Mistral-7B-v0.1 which has a context window of 8192 tokens. Mistral-7B-v0.2 has a context window of 32768 tokens. I could have extended OpenChat-3.5 context myself with RoPE and/or YaRN but that has been done. There are many models on HF that have done exactly that. Instead I decided to try and replicate OpenChat-3.5-0106 using the LoRA extraction method available in mergekit. These are the steps I followed:

This is the result. This model is not meant for use, it was created to test if this method is viable for replacing the base model of fine-tuned models (when tokenizer and weights have not been changed too much). I am uploading here for evaluation. I don't expect this model to match the original OpenChat-3.5-0106 since I used a LoRA with rank 512, so it won't be equivalent to a full fine-tuning. I have been able to extract LoRAs with higher rank, but currently I don't have the resources to merge them with the model as the memory requirements exceed what I have at my disposal. If you would like to help my work, check my Ko-Fi and/or Patreon:

Detailed results can be found here