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---
license: apache-2.0
datasets:
- arcee-ai/EvolKit-20k
base_model:
- Qwen/Qwen2.5-1.5B
---
# EVA-D Qwen2.5-1.5B v0.0
<p>
An experimental online logit distillation of EVA-Qwen2.5-14B-v0.1 into Qwen2.5-1.5B. Should work as a RP/storywriting specialist, but don't expect superb performance from it, due to it's small size. All in all, it was a fun experiment to do.<br>
</p>
<p>Note: using quantized KV cache with Qwen2.5 <b>is not recommended</b> and can lead to degraded output quality. On the other hand, Qwen's KV cache is already light enough, so using f16 for it shouldn't be problematic.</p>
<p>
<p>Prompt format is ChatML.</p><br>
<h3>Recommended sampler values:</h3>
<ul>
<li>Temperature: 1</li>
<li>Min-P: 0.02</li>
</ul>
<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>
Distillation data:
</h3>
<ul>
<li>Arcee.AI's <a href=https://huggingface.co/datasets/arcee-ai/EvolKit-20k>EvolKit-20k</a> dataset, which is specifically made for knowledge distillation purposes.</li>
</ul>
<h3>
Training time and hardware:
</h3>
<ul><li>1.8 hours on 8xA100 SXM, provided by Garg</li></ul><br>
</p>
<p>Model was trained by Kearm and Auri.</p>
<h4>Special thanks:</h4><ul>
<li><b>to Garg for generously providing 8xA100 SXM node for this experiment!</b></li>
<li>to Arcee.AI for creating DistillKit and EvolKit-20k dataset, which were used to create this model.</li>
<li>and to Allura-org for support and feedback on EVA models.</li></ul> |