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--- |
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base_model: |
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- unsloth/Mistral-Small-Instruct-2409 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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license: other |
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license_name: mrl |
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license_link: https://mistral.ai/licenses/MRL-0.1.md |
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--- |
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# This repo contains the copy of the original quantized to EXL2. Original: [allura-org/MS-Meadowlark-22B](https://huggingface.co/allura-org/MS-Meadowlark-22B) |
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# MS-Meadowlark-22B |
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<figure> |
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<img src="https://huggingface.co/ToastyPigeon/MS-Meadowlark-22B/resolve/main/00036-141420187-3.png" width="750"> |
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<figcaption>Big thanks to @inflatebot for the image.</figcaption> |
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</figure> |
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A roleplay and storywriting model based on Mistral Small 22B. |
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GGUF models: https://huggingface.co/mradermacher/MS-Meadowlark-22B-GGUF/ |
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Datasets used in this model: |
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- [Dampfinchen/Creative_Writing_Multiturn](https://huggingface.co/datasets/Dampfinchen/Creative_Writing_Multiturn) at 16k |
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- [Fizzarolli/rosier-dataset](https://huggingface.co/datasets/Fizzarolli/rosier-dataset) + [Alfitaria/body-inflation-org](https://huggingface.co/datasets/Alfitaria/body-inflation-org) at 16k |
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- [ToastyPigeon/SpringDragon](https://huggingface.co/datasets/ToastyPigeon/SpringDragon) at 8k |
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Each dataset was trained separately onto Mistral Small Instruct, and then the component models were merged along with [nbeerbower/Mistral-Small-Gutenberg-Doppel-22B](https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B) to create Meadowlark. |
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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. |
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# Instruct Format |
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Rosier/bodyinf and SpringDragon were trained in completion format. This model should work with [Kobold Lite](https://lite.koboldai.net/) in Adventure Mode and Story Mode. |
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Creative_Writing_Multiturn and Gutenberg-Doppel were trained using the official instruct format of Mistral Small Instruct: |
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``` |
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<s>[INST] {User message}[/INST] {Assistant response}</s> |
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``` |
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This is the Mistral Small V2&V3 preset in SillyTavern and Kobold Lite. |
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For SillyTavern in particular I've had better luck getting good output from Mistral Small using a [custom instruct template](https://huggingface.co/ToastyPigeon/ST-Presets-Mistral-Small) 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. |
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