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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 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

Original model README below.

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:
Context Template: Llama-3-Instruct-Names
Instruct Presets: Euryale-v2.1-Llama-3-Instruct

As per usual, support me here:

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

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