---
tags:
- gguf
- llama3
- iMat
---
<img src="https://i.imgur.com/P68dXux.png" width="400"/>

# llama3-42b-v0-iMat-GGUF


Quantized from fp32 with love. If you're on the latest release of llama.cpp you should no longer need to combine files before loading
* Weighted quantizations were calculated using groups_merged.txt with 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing [this process](https://huggingface.co/jukofyork/WizardLM-2-8x22B-imatrix)

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.

FP16 model card can be found [here](https://huggingface.co/chargoddard/llama3-42b-v0)