|
|
|
--- |
|
|
|
license: apache-2.0 |
|
datasets: |
|
- AuriAetherwiing/Allura |
|
- kalomaze/Opus_Instruct_25k |
|
base_model: |
|
- AuriAetherwiing/Yi-1.5-9B-32K-tokfix |
|
|
|
--- |
|
|
|
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) |
|
|
|
|
|
# QuantFactory/EVA-Yi-1.5-9B-32K-V1-GGUF |
|
This is quantized version of [EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1) created using llama.cpp |
|
|
|
# Original Model Card |
|
|
|
|
|
**EVA Yi 1.5 9B v1** |
|
|
|
<p> |
|
A RP/storywriting focused model, full-parameter finetune of Yi-1.5-9B-32K on mixture of synthetic and natural data.<br> |
|
A continuation of nothingiisreal's Celeste 1.x series, made to improve stability and versatility, without losing unique, diverse writing style of Celeste. |
|
</p> |
|
|
|
<p> |
|
<h3>Quants: (GGUF is not recommended, lcpp breaks tokenizer fix)</h3> |
|
<ul> |
|
<li><a href=https://huggingface.co/bartowski/EVA-Yi-1.5-9B-32K-V1-GGUF>IMatrix GGUF by bartowski</a></li> |
|
<li><a href=https://huggingface.co/mradermacher/EVA-Yi-1.5-9B-32K-V1-GGUF>Static GGUF by Mradermacher</a></li> |
|
<li><a href=https://huggingface.co/bartowski/EVA-Yi-1.5-9B-32K-V1-exl2>EXL2 by bartowski</a></li> |
|
</ul> |
|
We recommend using original BFloat16 weights, quantization seems to affect Yi significantly more than other model architectures. |
|
</p> |
|
<p> |
|
Prompt format is ChatML.<br> |
|
<h3>Recommended sampler values:</h3> |
|
|
|
- Temperature: 1 |
|
- Min-P: 0.05 |
|
|
|
<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></ul> |
|
<h3> |
|
Hardware used: |
|
</h3> |
|
<ul><li>4x3090Ti for 5 days.</li></ul><br> |
|
</p> |
|
Model was trained by Kearm and Auri. |
|
<h4>Special thanks:</h4><ul> |
|
<li>to Lemmy, Gryphe, Kalomaze and Nopm for the data</li> |
|
<li>to ALK, Fizz and CalamitousFelicitousness for Yi tokenizer fix</li> |
|
<li>and to InfermaticAI's community for their continued support for our endeavors</li></ul> |
|
|