Update README.md

README.md

@@ -11,6 +11,67 @@ tags:
 - gguf-my-repo
 ---
 
+---
+
+![img](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4/resolve/main/meneno.jpg)
+
+
+---
+
+Llama-3.1-8B-Stheno-v3.4
+
+This model has went through a multi-stage finetuning process.
+```
+- 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.
+```
+
+Prompting Format:
+```
+- Use the L3 Instruct Formatting - Euryale 2.1 Preset Works Well
+- Temperature + min_p as per usual, I recommend 1.4 Temp + 0.2 min_p.
+- Has a different vibe to previous versions. Tinker around.
+```
+
+Changes since previous Stheno Datasets:
+```
+- 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.
+```
+
+Personal Opinions:
+```
+- Llama3.1 was more disappointing, in the Instruct Tune? It felt overbaked, atleast. Likely due to the DPO being done after their SFT Stage.
+- Tuning on L3.1 base did not give good results, unlike when I tested with Nemo base. unfortunate.
+- Still though, I think I did an okay job. It does feel a bit more distinctive.
+- It took a lot of tinkering, like a LOT to wrangle this.
+```
+
+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)
+
+---
+
+```
+Source Image: https://www.pixiv.net/en/artworks/91689070
+```
+
 # DarqueDante/Llama-3.1-8B-Stheno-v3.4-Q5_K_M-GGUF
 This model was converted to GGUF format from [`Sao10K/Llama-3.1-8B-Stheno-v3.4`](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4) for more details on the model.