69 lines
3.2 KiB
Markdown
69 lines
3.2 KiB
Markdown
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# Bigger Body 12b
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A roleplay-focused pseudo full-finetune of Mistral Nemo Instruct.
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The successor to the Ink series.
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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)
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> - Haven't seen any slop yet
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> - Writes short and snappy replies
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> - ...yet not *too* short, like Mahou, and can write longer responses if the context warrants it
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> - Follows card formatting instructions
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>
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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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## 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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<details>
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<summary>(Public) Original Datasets</summary>
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<!-- Start Generation Here -->
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<ul>
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<li><a href="https://huggingface.co/datasets/Fizzarolli/limarp-processed">Fizzarolli/limarp-processed</a></li>
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<li><a href="https://huggingface.co/datasets/Norquinal/OpenCAI">Norquinal/OpenCAI</a> - <code>two_users</code> split</li>
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<li><a href="https://huggingface.co/datasets/allura-org/Celeste1.x-data-mixture">allura-org/Celeste1.x-data-mixture</a></li>
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<li><a href="https://huggingface.co/datasets/mapsila/PIPPA-ShareGPT-formatted-named">mapsila/PIPPA-ShareGPT-formatted-named</a></li>
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<li><a href="https://huggingface.co/datasets/allenai/tulu-3-sft-personas-instruction-following">allenai/tulu-3-sft-personas-instruction-following</a></li>
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<li><a href="https://huggingface.co/datasets/readmehay/medical-01-reasoning-SFT-json">readmehay/medical-01-reasoning-SFT-json</a></li>
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<li><a href="https://huggingface.co/datasets/LooksJuicy/ruozhiba">LooksJuicy/ruozhiba</a></li>
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<li><a href="https://huggingface.co/datasets/shibing624/roleplay-zh-sharegpt-gpt4-data">shibing624/roleplay-zh-sharegpt-gpt4-data</a></li>
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<li><a href="https://huggingface.co/datasets/CausalLM/Retrieval-SFT-Chat">CausalLM/Retrieval-SFT-Chat</a></li>
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<li><a href="https://huggingface.co/datasets/ToastyPigeon/fujin-filtered-instruct">ToastyPigeon/fujin-filtered-instruct</a></li>
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</ul>
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</details>
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## Quants
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TODO!
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## 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)
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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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## Hyperparams
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### General
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- Epochs = 2
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- LR = 1e-5
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- LR Scheduler = Cosine
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- Optimizer = [Apollo-mini](https://github.com/zhuhanqing/APOLLO)
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- Optimizer target modules = `all_linear`
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- Effective batch size = 16
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- Weight Decay = 0.01
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- Warmup steps = 50
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- Total steps = 920
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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 ;)
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Big thanks to all Allura members for testing and emotional support ilya /platonic
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