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README.md
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- AuriAetherwiing/Allura
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- anthracite-org/kalo-opus-instruct-22k-no-refusal
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- Nopm/Opus_WritingStruct
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
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- Gryphe/Sonnet3.5-Charcard-Roleplay
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- Gryphe/ChatGPT-4o-Writing-Prompts
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- AuriAetherwiing/shortstories_synthlabels
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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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base_model:
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- Qwen/Qwen2.5-7B
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---
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**EVA Qwen2.5 7B**
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<p>
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A RP/storywriting specialist model, full-parameter finetune of Qwen2.5-7B on mixture of synthetic and natural data.<br>
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A continuation of nothingiisreal's Celeste 1.x series, made to improve stability and versatility, without losing unique, diverse writing style of Celeste.<br>
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</p>
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<p>
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Prompt format is ChatML.<br>
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<h3>Recommended sampler values:</h3>
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- Temperature: 0.87
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- Top-P: 0.81
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- Repetition Penalty: 1.05
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<h3>Recommended SillyTavern presets (via CalamitousFelicitousness):</h3>
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- [Context](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Context.json)
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- [Instruct and System Prompt](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Instruct.json)
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</p>
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<p>
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<br>
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<h3>
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Training data:
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</h3>
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<ul>
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<li>Celeste 70B 0.1 data mixture minus Opus Instruct subset. See that model's <a href=https://huggingface.co/nothingiisreal/L3.1-70B-Celeste-V0.1-BF16>card</a> for details.</li>
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<li>Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.</li>
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<li>A subset (1k rows) of ChatGPT-4o-WritingPrompts by Gryphe</li>
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<li>A subset (2k rows) of Sonnet3.5-Charcards-Roleplay by Gryphe</li>
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<li>A cleaned subset (~3k rows) of shortstories_synthlabels by Auri</li>
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<li>Synthstruct and SynthRP datasets by Epiculous</li>
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</ul>
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<h3>
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Hardware used:
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</h3>
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<ul><li>4xA6000 for 5 hours.</li></ul><br>
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</p>
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Model was trained by Kearm and Auri.
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<h4>Special thanks:</h4><ul>
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<li>to Gryphe, Lemmy, Kalomaze, Nopm and Epiculous for the data</li>
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<li>to Alpindale helping with FFT config for Qwen2.5</li>
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<li>and to InfermaticAI's community for their continued support for our endeavors</li></ul>
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