Create README.md

README.md

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+---
+license: cc-by-nc-4.0
+datasets:
+- Setiaku/Stheno-v3.4-Instruct
+- Setiaku/Stheno-3.4-Creative-2
+language:
+- en
+---
+
+![img](https://huggingface.co/Sao10K/L3.1-70B-Euryale-v2.2/resolve/main/__euryale_and_euryale_fate_and_2_more_drawn_by_denoia__3f98d42ac68c388b677cd5a7a83ee785.jpg)
+
+This quant was made for [infermatic.ai](https://infermatic.ai/)
+
+Dynamic FP8 quant of [L3.1-70B-Euryale-v2.2](https://huggingface.co/Sao10K/L3.1-70B-Euryale-v2.2) made with AutoFP8.
+
+Llama-3.1-70B-Euryale-v2.2
+
+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 .
+```
+- 1st, over a multi-turn Conversational-Instruct
+- 2nd, over a Creative Writing / Roleplay along with some Creative-based Instruct Datasets.
+- - Dataset consists of a mixture of Human and Claude Data.
+```
+
+Personal Opinions:
+```
+- Llama 3.1 is... meh. I'm sure you guys in the community have debated over this.
+- Whatever they did to their Instruct overcooked the model. Base is weird compared to Llama 3.
+- Still, the 70B is pretty nice to use, though sometimes it bugs out? A swipe / regen always fixes it.
+- May be less 'uncensored' zero-shot due to removal of c2 samples, but it is perfectly fine for roleplaying purposes.
+- I never got the feeling Euryale was ever too horny or rushing ahead, even with v2.1, ymmv.
+```
+
+Prompting Format:
+```
+- Use the L3 Instruct Formatting - Euryale 2.1 Preset Works Well
+- Temperature + min_p as per usual, I recommend 1.2 Temp + 0.2 min_p.
+- Has a different vibe to previous versions. Tinker around.
+```
+
+Changes since Euryale v2.1 \[Same Dataset as Stheno 3.4\]
+```
+- 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.
+- Replaced Single-Turn Instruct with Better Prompts and Answers by Claude 3.5 Sonnet and Claude 3 Opus.
+- Removed c2 Samples -> Underway of re-filtering and masking to use with custom prefills. TBD
+- 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.
+- Included 40% More Creative Writing Examples.
+- Included Datasets Targeting System Prompt Adherence.
+- Included Datasets targeting Reasoning / Spatial Awareness.
+- Filtered for the usual errors, slop and stuff at the end. Some may have slipped through, but I removed nearly all of it.
+```
+
+
+Below are some graphs and all for you to observe.
+
+---
+
+`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.`
+
+![Turn](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4/resolve/main/turns_distribution_bar_graph.png)
+
+`Token Count Histogram # Based on the Llama 3 Tokenizer`
+
+![Turn](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4/resolve/main/token_count_histogram.png)
+
+---
+
+Have a good one.
+
+```
+Source Image: https://danbooru.donmai.us/posts/6657609
+```