README.md

---
tags:
- merge
- gguf
- mixtral
- iMat
---
<img src="https://i.imgur.com/P68dXux.png" width="400"/>

# miqu-evil-dpo-iMat-GGUF
Quantized from fp32 with love.
* Weighted quantizations created with .imatrix file calculated in 105 chunks and n_ctx=512 using groups_merged.txt


For a brief rundown of iMatrix quant performance please see this [PR](https://github.com/ggerganov/llama.cpp/pull/5747)

<i>All quants are verified working prior to uploading to repo for your safety and convenience. </i>


<b>Tip:</b> Pick a size that can fit in your GPU while still allowing some room for context for best speed. You may need to pad this further depending on if you are running image gen or TTS as well.

BF16 model card can be found [here](https://huggingface.co/maywell/miqu-evil-dpo)