Update README.md

README.md

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 This model was converted to GGUF format from [`elinas/Chronos-Gold-12B-1.0`](https://huggingface.co/elinas/Chronos-Gold-12B-1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/elinas/Chronos-Gold-12B-1.0) for more details on the model.
 
+---
+Model details:
+-
+Chronos Gold 12B 1.0 is a very unique model that applies to domain areas such as general chatbot functionatliy, roleplay, and storywriting. The model has been observed to write up to 2250 tokens in a single sequence. The model was trained at a sequence length of 16384 (16k) and will still retain the apparent 128k context length from Mistral-Nemo, though it deteriorates over time like regular Nemo does based on the RULER Test
+
+As a result, is recommended to keep your sequence length max at 16384, or you will experience performance degredation.
+
+The base model is mistralai/Mistral-Nemo-Base-2407 which was heavily modified to produce a more coherent model, comparable to much larger models.
+
+Chronos Gold 12B-1.0 re-creates the uniqueness of the original Chronos with significiantly enhanced prompt adherence (following), coherence, a modern dataset, as well as supporting a majority of "character card" formats in applications like SillyTavern.
+
+It went through an iterative and objective merge process as my previous models and was further finetuned on a dataset curated for it.
+
+The specifics of the model will not be disclosed at the time due to dataset ownership.
+Instruct Template
+
+This model uses ChatML - below is an example. It is a preset in many frontends.
+
+<|im_start|>system
+A system prompt describing how you'd like your bot to act.<|im_end|>
+<|im_start|>user
+Hello there!<|im_end|>
+<|im_start|>assistant
+I can assist you or we can discuss other things?<|im_end|>
+<|im_start|>user
+I was wondering how transformers work?<|im_end|>
+<|im_start|>assistant
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)