---
license: cc-by-nc-4.0
language:
- en
---
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PROUDLY PRESENTS         
```
# L3-70B-Euryale-v2.1-exl2-rpcal

Quantized using 200 samples of 8192 tokens from an RP-oriented [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) dataset.

Branches:
- `main` -- `measurement.json`
- `8b8h` -- 8bpw, 8bit lm_head
- `6b6h` -- 6bpw, 6bit lm_head
- `4.65b6h` -- 4.65bpw, 6bit lm_head
- `4.5b6h` -- 4.5bpw, 6bit lm_head
- `3.75b6h` -- 3.75bpw, 6bit lm_head
- `3.5b6h` -- 3.5bpw, 6bit lm_head
- `2.25b6h` -- 2.25bpw, 6bit lm_head

Original model link: [Sao10K/L3-70B-Euryale-v2.1](https://huggingface.co/Sao10K/L3-70B-Euryale-v2.1)

Original model README below.

-----

![Euryale](https://images7.alphacoders.com/921/921311.jpg)

**She's back!**

Stheno's Sister Model, designed to impress.

```
- Same Dataset used as Stheno v3.2 -> See notes there.
- LoRA Fine-Tune -> FFT is simply too expensive.
- Trained over 8x H100 SXMs and then some more afterwards.
```

**Testing Notes**
```
- Better prompt adherence.
- Better anatomy / spatial awareness.
- Adapts much better to unique and custom formatting / reply formats.
- Very creative, lots of unique swipes.
- Is not restrictive during roleplays. 
- Feels like a big brained version of Stheno.
```

*Likely due to it being a 70B model instead of 8B. Similar vibes comparing back in llama 2, where 70B models were simply much more 'aware' in the subtler areas and contexts a smaller model like a 7B or 13B simply were not able to handle.*

---

**Recommended Sampler Settings**:
```
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)

---

As per usual, support me here:

Ko-fi: https://ko-fi.com/sao10k

```
Art by wada_kazu / わだかず (pixiv page private?)
```