File size: 2,201 Bytes
ef8e597 8caa530 ef8e597 9948900 e77b004 8237ceb e77b004 e19c9ab 09ee31d e77b004 28e06c0 e77b004 9948900 057b631 9948900 9104b9a 9948900 5595bd2 9948900 057b631 a4083ad 057b631 a4083ad 057b631 a4083ad 057b631 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
license: apache-2.0
datasets:
- kalomaze/Opus_Instruct_25k
- allura-org/Celeste-1.x-data-mixture
base_model:
- AuriAetherwiing/Yi-1.5-9B-32K-tokfix
---
**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> |