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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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- Thank you to Gargamel for the compute!
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  ---
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- Euryale-v2.2
 
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  ---
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  license: cc-by-nc-4.0
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+ datasets:
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+ - Setiaku/Stheno-v3.4-Instruct
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+ - Setiaku/Stheno-3.4-Creative-2
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  language:
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  - en
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  ---
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+ ![img](https://huggingface.co/Sao10K)
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  ---
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+ Thanks to Gargamel for the compute, to train this!
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+ <br>It took ~120 Hours on Several A100s.
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+ ---
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+
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+ Llama-3.1-70B-Euryale-v2.2
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+
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+ This model has went through a single stage finetuning process, over 2 epochs. Datasets are cleanly seperated in order, and not merged unlike Stheno v3.4 .
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+ ```
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+ - 1st, over a multi-turn Conversational-Instruct
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+ - 2nd, over a Creative Writing / Roleplay along with some Creative-based Instruct Datasets.
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+ - - Dataset consists of a mixture of Human and Claude Data.
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+ ```
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+
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+ Prompting Format:
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+ ```
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+ - Use the L3 Instruct Formatting - Euryale 2.1 Preset Works Well
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+ - Temperature + min_p as per usual, I recommend 1.2 Temp + 0.2 min_p.
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+ - Has a different vibe to previous versions. Tinker around.
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+ ```
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+
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+ Changes since Euryale v2.1 \[Same Dataset as Stheno 3.4\]
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+ ```
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+ - Included Multi-turn Conversation-based Instruct Datasets to boost multi-turn coherency. # This is a seperate set, not the ones made by Kalomaze and Nopm, that are used in Magnum. They're completely different data.
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+ - Replaced Single-Turn Instruct with Better Prompts and Answers by Claude 3.5 Sonnet and Claude 3 Opus.
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+ - Removed c2 Samples -> Underway of re-filtering and masking to use with custom prefills. TBD
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+ - Included 55% more Roleplaying Examples based of [Gryphe's](https://huggingface.co/datasets/Gryphe/Sonnet3.5-Charcard-Roleplay) Charcard RP Sets. Further filtered and cleaned on.
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+ - Included 40% More Creative Writing Examples.
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+ - Included Datasets Targeting System Prompt Adherence.
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+ - Included Datasets targeting Reasoning / Spatial Awareness.
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+ - Filtered for the usual errors, slop and stuff at the end. Some may have slipped through, but I removed nearly all of it.
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+ ```
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+
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+ Personal Opinions:
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+ ```
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+ - Llama 3.1 is... meh. I'm sure you guys in the community have debated over this.
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+ - Whatever they did to their Instruct overcooked the model. Base is weird.
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+ - Still, the 70B is pretty nice, though sometimes it bugs out? A swipe / regen always fixes it.
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+ - May be less 'uncensored' zero-shot due to removal of c2 samples, but it is perfectly fine for roleplaying purposes.
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+ ```
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+
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+ Below are some graphs and all for you to observe.
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+
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+ ---
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+
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+ `Turn Distribution # 1 Turn is considered as 1 combined Human/GPT pair in a ShareGPT format. 4 Turns means 1 System Row + 8 Human/GPT rows in total.`
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+
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+ ![Turn](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4/resolve/main/turns_distribution_bar_graph.png)
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+
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+ `Token Count Histogram # Based on the Llama 3 Tokenizer`
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+
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+ ![Turn](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4/resolve/main/token_count_histogram.png)
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+
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+ ---
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+
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+ Have a good one.
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+
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+ ```
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+ Source Image: https://www.pixiv.net/en/artworks/91689070
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+ ```