---

license: apache-2.0
datasets:
- arcee-ai/EvolKit-20k
base_model:
- Qwen/Qwen2.5-1.5B

---

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# QuantFactory/EVA-D-Qwen2.5-1.5B-v0.0-GGUF
This is quantized version of [EVA-UNIT-01/EVA-D-Qwen2.5-1.5B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-D-Qwen2.5-1.5B-v0.0) created using llama.cpp

# Original Model Card

# 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>