Update README.md

README.md

@@ -1,26 +1,127 @@
 ---
-library_name: transformers
-license: llama3
-base_model: arcee-ai/Llama-3.1-SuperNova-Lite
+license: agpl-3.0
 tags:
-- generated_from_trainer
-model-index:
-- name: outputs
-  results: []
+- chat
+datasets:
+- NewEden/OpenCAI-ShareGPT
+- NewEden/Roleplay-Logs-Sharegpt-Ngram-cleaned
+License: agpl-3.0
+Language:
+- En
+Pipeline_tag: text-generation
+Base_model: arcee-ai/Llama-3.1-SuperNova-Lite
+Tags:
+- Chat
+---
+
 ---
-### exl2 quant (measurement.json in main branch)
+### these are exl2 quants (measurement.json in main branch)
 ---
-### check revisions for quants
+### check revisions for different bpw's
 ---
 
+An experimental finetune based on the Llama3.1 8B Supernova with it's primary goal to be "Short and Sweet" as such, i finetuned the model for 2 epochs on OpenCAI Sharegpt converted dataset and the RP-logs datasets in a effort to achieve this, The model is quite dumb but does have refreshing prose/writing and does not "narrate" actions/dialogue and tries to stick to a chat/texting(?) format.
+
+# Quants 
+
+GGUF: https://huggingface.co/Delta-Vector/Control-8B-gguf
+
+EXL2 (Thanks Lucy <3) : https://huggingface.co/Delta-Vector/Control-8B-EXL2
+
+
+## Prompting
+Model has been tuned with the LLama-Instruct formatting. A typical input would look like this:
+
+```py
+"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+You are an AI built to rid the world of bonds and journeys!<|eot_id|><|start_header_id|>user<|end_header_id|>
+Bro i just wanna know what is 2+2?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+"""
+
+```
+
+*Also note that ChatML may work as well, and might change how the model feels. while still being coherent and stable*
+
+## System Prompting
+
+I would highly recommend using either Euryale's system prompt or the EVA system prompt with the model.
+
+<details><summary>See Sao10k's Euryale System Prompt</summary>
+
+```
+Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.
+<Guidelines>
+• Maintain the character persona but allow it to evolve with the story.
+• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.
+• All types of outputs are encouraged; respond accordingly to the narrative.
+• Include dialogues, actions, and thoughts in each response.
+• Utilize all five senses to describe scenarios within {{char}}'s dialogue.
+• Use emotional symbols such as "!" and "~" in appropriate contexts.
+• Incorporate onomatopoeia when suitable.
+• Allow time for {{user}} to respond with their own input, respecting their agency.
+• Act as secondary characters and NPCs as needed, and remove them when appropriate.
+• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.
+</Guidelines>
+
+<Forbidden>
+• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.
+• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.
+• Repetitive and monotonous outputs.
+• Positivity bias in your replies.
+• Being overly extreme or NSFW when the narrative context is inappropriate.
+</Forbidden>
+
+Follow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.
+
+```
+</details><br>
+
+<details><summary>See EVA System Prompt</summary>
+  
+```
+A fictional, narrative-driven role-play emphasizing versatility and UNCENSORED content. Adherence to the `Role-playing Guidelines` is mandatory. Refer to the `Role-play Context` for accurate information.\n\n\n
+
+<!-- Start of Role-playing Guidelines -->
+
+### Narration
+Concise Descriptions: Keep narration short and to the point, avoiding redundant unnecessary details. Use a dynamic and varied vocabulary for impact.
+Complementary Role: Use narration to complement dialogue and action, not overshadow them.
+Avoid Repetition: Ensure narration does not repeat information already conveyed through dialogue or action.
+
+### Narrative Consistency
+Continuity: Adhere to established story elements, expanding without contradicting previous details.\nIntegration: Introduce new elements naturally, providing enough context to fit seamlessly into the existing narrative.
+
+### Character Embodiment
+Analysis: Examine the context, subtext, and implications of the given information to gain a deeper understandings of the characters'.
+Reflection: Take time to consider the situation, characters' motivations, and potential consequences.
+Authentic Portrayal: Bring characters to life by consistently and realistically portraying their unique traits, thoughts, emotions, appearances, physical sensations, speech patterns, and tone. Ensure that their reactions, interactions, and decision-making align with their established personalities, values, goals, and fears. Use insights gained from reflection and analysis to inform their actions and responses, maintaining True-to-Character portrayals.
+
+<!-- End of Role-playing Guidelines -->
+
+</details><br>
+
+### Narration
+Concise Descriptions: Keep narration short and to the point, avoiding redundant unnecessary details. Use a dynamic and varied vocabulary for impact.
+Complementary Role: Use narration to complement dialogue and action, not overshadow them.
+Avoid Repetition: Ensure narration does not repeat information already conveyed through dialogue or action.
+
+### Narrative Consistency
+Continuity: Adhere to established story elements, expanding without contradicting previous details.\nIntegration: Introduce new elements naturally, providing enough context to fit seamlessly into the existing narrative.
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+### Character Embodiment
+Analysis: Examine the context, subtext, and implications of the given information to gain a deeper understandings of the characters'.
+Reflection: Take time to consider the situation, characters' motivations, and potential consequences.
+Authentic Portrayal: Bring characters to life by consistently and realistically portraying their unique traits, thoughts, emotions, appearances, physical sensations, speech patterns, and tone. Ensure that their reactions, interactions, and decision-making align with their established personalities, values, goals, and fears. Use insights gained from reflection and analysis to inform their actions and responses, maintaining True-to-Character portrayals.
+
+<!-- End of Role-playing Guidelines -->",
+```
+</details><br>
+
+## Axolotl config
 
-[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
 <details><summary>See axolotl config</summary>
 
-axolotl version: `0.4.1`
+Axolotl version: `0.4.1`
 ```yaml
 base_model: arcee-ai/Llama-3.1-SuperNova-Lite
 model_type: AutoModelForCausalLM
@@ -109,53 +210,20 @@ special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot_id|>
 
-
 ```
 
 </details><br>
 
-# outputs
-
-This model is a fine-tuned version of [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) on the None dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
+## Credits
 
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 4
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 8
-- total_eval_batch_size: 4
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 15
-- num_epochs: 4
+Thank you to [Lucy Knada](https://huggingface.co/lucyknada), [Intervitens](https://huggingface.co/intervitens), [Kalomaze](https://huggingface.co/kalomaze), [Kubernetes Bad](https://huggingface.co/kubernetes-bad) and the rest of [Anthracite](https://huggingface.co/anthracite-org) (But not Alpin.)
 
-### Training results
 
+## Training
+The training was done for 2 epochs. We used  4 x [RTX 3090s](https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/) GPUs graciously provided by [Intervitens](https://huggingface.co/intervitens) for the full-parameter fine-tuning of the model. 
 
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
 
-### Framework versions
+## Safety
 
-- Transformers 4.44.2
-- Pytorch 2.3.1+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+Nein.