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--- |
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license: apache-2.0 |
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datasets: |
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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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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
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- nothingiisreal/Reddit-Dirty-And-WritingPrompts |
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- allura-org/Celeste-1.x-data-mixture |
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- allura-org/shortstories_synthlabels |
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base_model: |
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- Qwen/Qwen2.5-14B |
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--- |
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**EVA Qwen2.5 14B** |
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<p> |
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A RP/storywriting specialist model, full-parameter finetune of Qwen2.5-14B on mixture of synthetic and natural data.<br> |
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It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and "flavor" of the resulting model.<br> |
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</p> |
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<p> |
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<p>Prompt format is ChatML.</p><br> |
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<h3>Recommended sampler values:</h3> |
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<ul> |
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<li>Temperature: 0.7</li> |
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<li>Top-P: 0.8</li> |
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<li>Repetition Penalty: 1.03</li> |
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</ul> |
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<p>Model appears to prefer lower temperatures (at least 0.8 and lower) and absolutely hate Min-P sampler.<p> |
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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 14 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 for 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> |
