70 lines
2.8 KiB
Markdown
70 lines
2.8 KiB
Markdown
---
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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/Qwen2.5-7B
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---
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**EVA Qwen2.5 7B 0.1**
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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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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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<b>Version 0.1 notes:</b><br> Dataset was deduped and cleaned from version 0.0, and learning rate was adjusted. Resulting model seems to be stabler, and 0.0 problems with handling short inputs and min_p sampling seem to be mostly gone.<br>
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Will be retrained once more, because this run crashed around e1.2 (out of 3) (thanks, DeepSpeed, really appreciate it), and it's still somewhat undertrained as a result.
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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: 0.87</li>
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<li>Top-P: 0.81</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 0.9 and lower). Min-P seems to work now, as well.<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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Training time and hardware:
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</h3>
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<ul><li>2 days on 4x3090Ti (locally)</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>
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