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README.md

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+<h1 style="text-align: center">MPT-7b-InstructAndStorywriting-75_25-Merge </h1>
+<h2 style="text-align: center">An merge between the long context Storywriting and the short context instruct MPT-7b models.</h2>
+
+## Model Details:
+
+This model is a merge between the following two MPT-7b models:
+
+- 2048 CTX MTP-7b Instruct: https://huggingface.co/spaces/mosaicml/mpt-7b-instruct
+- 65k CTX MTP-7b Storywriter: https://huggingface.co/mosaicml/mpt-7b-storywriter
+
+This merge was done using an weighted average merge strategy, and the end result is a model composed of:
+
+MTP-7b Storywriter [75%] + MTP-7b Instruct [25%] 
+
+----
+
+This was done under for the sake of testing the theory of how long context tunes affect attention when merged with a model that has been trained for a different purpose, on a shorter context span.
+Different from the first merge (That sports a 50/50 ratio)[https://huggingface.co/TehVenom/mpt-7b-InstructAndStorywriting-50_50-Merge], this one is lopsided towards the Instruct base model to have another comparison point for the effects of CTX span merging, and to have a model that is primarily focused on Instruct.
+
+The end result is intended to be model that is capable of following the Instruct base's Assistant / Instruct / Helpful properties, while drawing some creativity for long prose.
+
+Due to the influence of MPT-7b Storywriter, this model may generate content that is considered NSFW due to the wide array of books sampled for MPT-7b Storywriter.
+
+The specific prompting is unknown, but try approaching it as a story / text completion prompt style first, 
+then a mix of that and Alpaca's instruct format to see what brings most interesting results.
+
+Read the original model card to understand how to run inference on this model.