metadata
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 dataset.
Branches:
main--measurement.json8b8h-- 8bpw, 8bit lm_head6b6h-- 6bpw, 6bit lm_head4.65b6h-- 4.65bpw, 6bit lm_head4.5b6h-- 4.5bpw, 6bit lm_head3.75b6h-- 3.75bpw, 6bit lm_head3.5b6h-- 3.5bpw, 6bit lm_head2.25b6h-- 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?)