---
base_model: Sao10K/L3-70B-Euryale-v2.1
language:
- en
library_name: transformers
quantized_by: InferenceIllusionist
tags:
- iMat
- gguf
- llama3
license: cc-by-nc-4.0
---
<img src="https://i.imgur.com/P68dXux.png" width="400"/>

# L3-70B-Euryale-v2.1-iMat-GGUF

Quantized from fp16.
* Weighted quantizations were creating using fp16 GGUF and groups_merged.txt in 88 chunks and n_ctx=512

## Recommended Sampler Settings (From Original Model Card)
```
Temperature - 1.17
min_p - 0.075
Repetition Penalty - 1.10
```

**SillyTavern Instruct Settings**:
<br>Context Template: Llama-3-Instruct-Names
<br>Instruct Presets: [Euryale-v2.1-Llama-3-Instruct](https://huggingface.co/Sao10K/L3-70B-Euryale-v2.1/blob/main/Euryale-v2.1-Llama-3-Instruct.json)


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 file size under your GPU's VRAM 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.

Original model card can be found [here](https://huggingface.co/Sao10K/L3-70B-Euryale-v2.1)