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- bash quant.sh -m "${IN_MODEL}" -t "${HUGGINGFACE_TOKEN}" -r "${OUT_MODEL}" -b 8 -h 8 && \
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- bash quant.sh -m "${IN_MODEL}" -t "${HUGGINGFACE_TOKEN}" -r "${OUT_MODEL}" -b 6 -h 6 && \
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- bash quant.sh -m "${IN_MODEL}" -t "${HUGGINGFACE_TOKEN}" -r "${OUT_MODEL}" -b 4.65 -h 6 && \
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- bash quant.sh -m "${IN_MODEL}" -t "${HUGGINGFACE_TOKEN}" -r "${OUT_MODEL}" -b 4.5 -h 6 && \
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- bash quant.sh -m "${IN_MODEL}" -t "${HUGGINGFACE_TOKEN}" -r "${OUT_MODEL}" -b 3.75 -h 6 && \
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- bash quant.sh -m "${IN_MODEL}" -t "${HUGGINGFACE_TOKEN}" -r "${OUT_MODEL}" -b 3.5 -h 6 && \
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- bash quant.sh -m "${IN_MODEL}" -t "${HUGGINGFACE_TOKEN}" -r "${OUT_MODEL}" -b 2.25 -h 6 && \
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ language:
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+ - en
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+ ---
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+ ```
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+ "88 88" "88 88" "88 888 888 888 888
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+ b
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+ 8b,
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+
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+ e88'Y88 d8 888
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+ d888 'Y ,"Y88b 888,8, d88 ,e e, 888
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+ C8888 "8" 888 888 " d88888 d88 88b 888
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+ Y888 ,d ,ee 888 888 888 888 , 888
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+ "88,d88 "88 888 888 888 "YeeP" 888
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+
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+ PROUDLY PRESENTS
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+ ```
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+ # L3-70B-Euryale-v2.1-exl2-rpcal
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+
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+ Quantized using 200 samples of 8192 tokens from an RP-oriented [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) dataset.
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+
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+ Branches:
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+ - `main` -- `measurement.json`
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+ - `8b8h` -- 8bpw, 8bit lm_head
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+ - `6b6h` -- 6bpw, 6bit lm_head
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+ - `4.65b6h` -- 4.65bpw, 6bit lm_head
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+ - `4.5b6h` -- 4.5bpw, 6bit lm_head
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+ - `3.75b6h` -- 3.75bpw, 6bit lm_head
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+ - `3.5b6h` -- 3.5bpw, 6bit lm_head
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+ - `2.25b6h` -- 2.25bpw, 6bit lm_head
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+
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+ Original model link: [Sao10K/L3-70B-Euryale-v2.1](https://huggingface.co/Sao10K/L3-70B-Euryale-v2.1)
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+
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+ Original model README below.
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+
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+ -----
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+
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+ ![Euryale](https://images7.alphacoders.com/921/921311.jpg)
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+
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+ **She's back!**
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+
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+ Stheno's Sister Model, designed to impress.
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+
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+ ```
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+ - Same Dataset used as Stheno v3.2 -> See notes there.
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+ - LoRA Fine-Tune -> FFT is simply too expensive.
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+ - Trained over 8x H100 SXMs and then some more afterwards.
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+ ```
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+
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+ **Testing Notes**
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+ ```
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+ - Better prompt adherence.
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+ - Better anatomy / spatial awareness.
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+ - Adapts much better to unique and custom formatting / reply formats.
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+ - Very creative, lots of unique swipes.
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+ - Is not restrictive during roleplays.
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+ - Feels like a big brained version of Stheno.
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+ ```
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+
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+ *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.*
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+
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+ ---
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+
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+ **Recommended Sampler Settings**:
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+ ```
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+ Temperature - 1.17
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+ min_p - 0.075
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+ Repetition Penalty - 1.10
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+ ```
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+
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+ **SillyTavern Instruct Settings**:
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+ <br>Context Template: Llama-3-Instruct-Names
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+ <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)
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+
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+ ---
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+
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+ As per usual, support me here:
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+
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+ Ko-fi: https://ko-fi.com/sao10k
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+
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+ ```
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+ Art by wada_kazu / わだかず (pixiv page private?)
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+ ```