EVA-Qwen2.5-7B-v0.1 / README.md
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---
license: apache-2.0
datasets:
- anthracite-org/kalo-opus-instruct-22k-no-refusal
- Nopm/Opus_WritingStruct
- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
- Gryphe/Sonnet3.5-Charcard-Roleplay
- Gryphe/ChatGPT-4o-Writing-Prompts
- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
- nothingiisreal/Reddit-Dirty-And-WritingPrompts
- allura-org/Celeste-1.x-data-mixture
- allura-org/shortstories_synthlabels
base_model:
- Qwen/Qwen2.5-7B
---
**EVA Qwen2.5 7B 0.1**
<p>
A RP/storywriting specialist model, full-parameter finetune of Qwen2.5-7B on mixture of synthetic and natural data.<br>
It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and "flavor" of the resulting model.<br>
</p>
<p>
<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>
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.
</p>
<p>
<p>Prompt format is ChatML.</p><br>
<h3>Recommended sampler values:</h3>
<ul>
<li>Temperature: 0.87</li>
<li>Top-P: 0.81</li>
<li>Repetition Penalty: 1.03</li>
</ul>
<p>Model appears to prefer lower temperatures (at least 0.9 and lower). Min-P seems to work now, as well.<p>
<h3>Recommended SillyTavern presets (via CalamitousFelicitousness):</h3>
- [Context](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Context.json)
- [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)
</p>
<p>
<br>
<h3>
Training data:
</h3>
<ul>
<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>
<li>Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.</li>
<li>A subset (1k rows) of ChatGPT-4o-WritingPrompts by Gryphe</li>
<li>A subset (2k rows) of Sonnet3.5-Charcards-Roleplay by Gryphe</li>
<li>A cleaned subset (~3k rows) of shortstories_synthlabels by Auri</li>
<li>Synthstruct and SynthRP datasets by Epiculous</li>
</ul>
<h3>
Training time and hardware:
</h3>
<ul><li>2 days on 4x3090Ti (locally)</li></ul><br>
</p>
Model was trained by Kearm and Auri.
<h4>Special thanks:</h4><ul>
<li>to Gryphe, Lemmy, Kalomaze, Nopm and Epiculous for the data</li>
<li>to Alpindale for helping with FFT config for Qwen2.5</li>
<li>and to InfermaticAI's community for their continued support for our endeavors</li></ul>