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Model: allura-org/Bigger-Body-12b
Source: Original Platform

non-lore-README.md

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+# Bigger Body 12b
+![image/png](Z7EP8PNEYT29NBYH0FS0PKKMX0.jpeg)
+A roleplay-focused pseudo full-finetune of Mistral Nemo Instruct.
+The successor to the Ink series.
+
+## Testimonials
+> First impressions (temp 1, min-p .05-.1)
+> - 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
+> 
+> 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. :)
+
+\- Tofumagate
+
+> tantalizing writing, leagues better then whatever is available online
+
+\- Bowza
+
+> 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.
+
+\- AliCat
+
+## Dataset
+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.
+
+<details>
+<summary>(Public) Original Datasets</summary>
+
+<!-- Start Generation Here -->
+<ul>
+    <li><a href="https://huggingface.co/datasets/Fizzarolli/limarp-processed">Fizzarolli/limarp-processed</a></li>
+    <li><a href="https://huggingface.co/datasets/Norquinal/OpenCAI">Norquinal/OpenCAI</a> - <code>two_users</code> split</li>
+    <li><a href="https://huggingface.co/datasets/allura-org/Celeste1.x-data-mixture">allura-org/Celeste1.x-data-mixture</a></li>
+    <li><a href="https://huggingface.co/datasets/mapsila/PIPPA-ShareGPT-formatted-named">mapsila/PIPPA-ShareGPT-formatted-named</a></li>
+    <li><a href="https://huggingface.co/datasets/allenai/tulu-3-sft-personas-instruction-following">allenai/tulu-3-sft-personas-instruction-following</a></li>
+    <li><a href="https://huggingface.co/datasets/readmehay/medical-01-reasoning-SFT-json">readmehay/medical-01-reasoning-SFT-json</a></li>
+    <li><a href="https://huggingface.co/datasets/LooksJuicy/ruozhiba">LooksJuicy/ruozhiba</a></li>
+    <li><a href="https://huggingface.co/datasets/shibing624/roleplay-zh-sharegpt-gpt4-data">shibing624/roleplay-zh-sharegpt-gpt4-data</a></li>
+    <li><a href="https://huggingface.co/datasets/CausalLM/Retrieval-SFT-Chat">CausalLM/Retrieval-SFT-Chat</a></li>
+    <li><a href="https://huggingface.co/datasets/ToastyPigeon/fujin-filtered-instruct">ToastyPigeon/fujin-filtered-instruct</a></li>
+</ul>
+</details>
+
+## Quants
+TODO!
+
+## Recommended Settings
+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!):
+- Temp 1.25 / MinP 0.1
+
+## Hyperparams
+### General
+- Epochs = 2
+- LR = 1e-5
+- LR Scheduler = Cosine
+- Optimizer = [Apollo-mini](https://github.com/zhuhanqing/APOLLO)
+- Optimizer target modules = `all_linear`
+- Effective batch size = 16
+- Weight Decay = 0.01
+- Warmup steps = 50
+- Total steps = 920
+
+## Credits
+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