Update README.md

README.md

@@ -15,6 +15,36 @@ license_link: https://mistral.ai/licenses/MRL-0.1.md
 This model was converted to GGUF format from [`allura-org/MS-Meadowlark-22B`](https://huggingface.co/allura-org/MS-Meadowlark-22B) 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/allura-org/MS-Meadowlark-22B) for more details on the model.
 
+Model details:
+-
+A roleplay and storywriting model based on Mistral Small 22B.
+
+GGUF models: https://huggingface.co/mradermacher/MS-Meadowlark-22B-GGUF/
+
+EXL2 models: https://huggingface.co/CalamitousFelicitousness/MS-Meadowlark-22B-exl2
+
+Datasets used in this model:
+
+    Dampfinchen/Creative_Writing_Multiturn at 16k
+    Fizzarolli/rosier-dataset + Alfitaria/body-inflation-org at 16k
+    ToastyPigeon/SpringDragon at 8k
+
+Each dataset was trained separately onto Mistral Small Instruct, and then the component models were merged along with nbeerbower/Mistral-Small-Gutenberg-Doppel-22B to create Meadowlark.
+
+I tried different blends of the component models, and this one seems to be the most stable while retaining creativity and unpredictability added by the trained data.
+Instruct Format
+
+Rosier/bodyinf and SpringDragon were trained in completion format. This model should work with Kobold Lite in Adventure Mode and Story Mode.
+
+Creative_Writing_Multiturn and Gutenberg-Doppel were trained using the official instruct format of Mistral Small Instruct:
+
+<s>[INST] {User message}[/INST] {Assistant response}</s>
+
+This is the Mistral Small V2&V3 preset in SillyTavern and Kobold Lite.
+
+For SillyTavern in particular I've had better luck getting good output from Mistral Small using a custom instruct template that formats the assembled context as a single user turn. This prevents SillyTavern from confusing the model by assembling user/assistant turns in a nonstandard way. Note: This preset is not compatible with Stepped Thinking, use the Mistral V2&V3 preset for that.
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)