Update README.md

README.md

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 This model was converted to GGUF format from [`allura-org/Bigger-Body-12b`](https://huggingface.co/allura-org/Bigger-Body-12b) 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/Bigger-Body-12b) for more details on the model.
 
+---
+A roleplay-focused pseudo full-finetune of Mistral Nemo Instruct.
+The successor to the Ink series.
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+	
+		
+	
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+		Testimonials
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+First impressions (temp 1, min-p .05-.1)
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+It passes my silly logic tests (read: me trolling random characters)
+Haven't seen any slop yet
+Writes short and snappy replies
+...yet not too short, like Mahou, and can write longer responses if the context warrants it
+Follows card formatting instructions
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+
+If this holds up to 16K it will be constantly in the hopper alongside
+ Mag-Mell for me. I'm biased towards shorter responses with smarts. :)
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+- Tofumagate
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+tantalizing writing, leagues better then whatever is available online
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+- Bowza
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+Fun to use, nice swipe variation, gives me lots to RP off of. Rarely, it'll start to loop, but a quick swipe fixes no problem.
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+- AliCat
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+	
+		
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+		Dataset
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+The Bigger Body (referred to as Ink v2.1, because that's still the 
+internal name) mix is absolutely disgusting. It's even more cursed than 
+the original Ink mix.
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+(Public) Original Datasets
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+Fizzarolli/limarp-processed
+Norquinal/OpenCAI - two_users split
+allura-org/Celeste1.x-data-mixture
+mapsila/PIPPA-ShareGPT-formatted-named
+allenai/tulu-3-sft-personas-instruction-following
+readmehay/medical-01-reasoning-SFT-json
+LooksJuicy/ruozhiba
+shibing624/roleplay-zh-sharegpt-gpt4-data
+CausalLM/Retrieval-SFT-Chat
+ToastyPigeon/fujin-filtered-instruct
+
+Recommended Settings
+	
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+Chat template: Mistral v7-tekken (NOT v3-tekken !!!! the main difference is that v7 has specific [SYSTEM_PROMPT] and [/SYSTEM_PROMPT] tags)
+Recommended samplers (not the be-all-end-all, try some on your own!):
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+Temp 1.25 / MinP 0.1
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+	
+		
+	
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+		Hyperparams
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+		
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+		General
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+Epochs = 2
+LR = 1e-5
+LR Scheduler = Cosine
+Optimizer = Apollo-mini
+Optimizer target modules = all_linear
+Effective batch size = 16
+Weight Decay = 0.01
+Warmup steps = 50
+Total steps = 920
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+	
+		
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+		Credits
+	
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+Humongous thanks to the people who created the data. I would credit you all, but that would be cheating ;)
+Big thanks to all Allura members for testing and emotional support ilya /platonic
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)