Update README.md

README.md

@@ -12,6 +12,197 @@ tags:
 This model was converted to GGUF format from [`Sao10K/MN-BackyardAI-Party-12B-v1`](https://huggingface.co/Sao10K/MN-BackyardAI-Party-12B-v1) 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/MN-BackyardAI-Party-12B-v1) for more details on the model.
 
+Model Info:
+---
+---
+Trained with compute from Backyard.ai | Thanks to them and @dynafire for helping me out.
+
+Trained on 2x A100 SXM 40GB as an 8-bit LoRA.
+
+This is a group-chat based roleplaying model, based off of 12B-Lyra-v4a2, a variant of Lyra-v4 that is currently private.
+
+It is trained on an entirely human-based dataset, based on forum / internet group roleplaying styles. The only augmentation done with LLMs is to the character sheets, to fit to the system prompt, to fit various character sheets within context.
+
+This model is still capable of 1 on 1 roleplay, though I recommend using ChatML when doing that instead.
+
+---
+
+Formatting:
+
+Training for the multi-character roleplaying format is done with a variant of ChatML, replaced with [INST] blocks formatted as such. Use this to draw in more of the training done.
+
+[INST]system
+System Prompt Here[/INST]
+[INST]user
+User's Yapping[/INST]
+[INST]model
+Model Reply[/INST]
+
+Relevant!
+- Turns do not need to respect user -> model -> user. Training is done with disjointed turns that may have repeating turns to simulate real group roleplay / chat scenarios with multiple users.
+- Additional work may be required to fit for your front-end.
+- Ideally character cards are all included in the turns. Training is done with this in mind. Below on the page has relevant information.
+- This is a Nemo model, so lower Temperature and a sprinkling of min_p helps.
+- This does require a lot of tinkering to fit within SillyTavern / other frontends.
+
+To get better performance on Regular 1 on 1 Roleplay or Chat scenarios, use ChatML to get more of Lyra's performance.
+
+<|im_start|>system
+System Prompt Here.<|im_end|>
+<|im_start|>user
+User's Instructions<|im_end|>
+<|im_start|>assistant
+Model Response<|im_end|>
+
+For best results, set both <|im_end|> and [INST] as stopping strings. Recommended Temperature is <1 , min_p of ateast 0.1
+Dataset Information:
+
+This dataset is made from a human RP forum source, trimmed down, augmented and reformatted to fit.
+- Each entry has a minimum of 6 turns to be inside
+- Number of unique/main characters are ranged from 2 to 7 characters per entry.
+- Each conversation is kept as is to preserve quality and uniqueness of the human data.
+- Only the added system prompt makes use of the current character sheets given.
+
+The following below is how the current Character Card / Sheets is done, which are augmented from the messy and non-uniform character sheets available. To get best results, please reformat your current character data to the on as seen below, or as similar as you can if possible.
+
+- **Character Name**: 
+- **Age**:
+- **Race**:
+- **Mageblood Type**: (if applicable)
+- **Favored Magic Class**: (if applicable)
+- **Previous Magic Training**: (if applicable)
+- **Occupation/Profession**: (if applicable)
+- **Appearance**: (if applicable)
+- **Biography**: (if applicable)
+- **Good Attributes**: (if applicable)
+- **Bad Attributes**: (if applicable)
+- **Equipment**: (if applicable)
+- **Other Information**: (if applicable)
+
+Here is an example based on the above format:
+
+**Character Name**: Keri Wolf  
+**Age**: 21  
+**Race**: Vampire  
+**Mageblood Type**: Hydromancy  
+**Favored Magic Class**: Aqua  
+**Previous Magic Training**: Novice  
+**Occupation/Profession**: None specified  
+
+**Appearance**:  
+- Height: 5'9"  
+- A wooden wolf necklace around her neck, contrasting with her pale skin  
+- Three swords strapped to her waist  
+- A tattoo of a thorn vine, her family crest, on her right arm  
+- Normal eye color is red but changes based on her mood or the topic of conversation  
+- Carries a hunk of wood and a carving knife for personal activities  
+
+**Biography**:  
+Keri Wolf grew up in a family of adopted siblings in Djarkel. She had a normal childhood, with her best friend Satori, and was taught basic self-defense by her father. Her brothers were considered troublemakers but remained close to her. On her 21st birthday, her family was slaughtered by a vampire nest, and she was bitten. This led to her developing vampiric traits and seeking answers at the college.
+
+**Good Attributes**:  
+- Easy-going  
+- Observant  
+- Helps those in trouble  
+- Soft-hearted  
+- Kind  
+- Cool-headed  
+- Good at getting out of difficult situations  
+- Avoids violence  
+- Gets along well with different people  
+- Loves animals  
+
+**Bad Attributes**:  
+- Sunlight sensitivity  
+- Hatred towards vampires outside the college  
+- Keeps feelings in check, leading to dangerous outbursts  
+- Cruel manner of speaking  
+- Thirst for revenge  
+
+**Equipment**:  
+- Wooden wolf necklace  
+- Three swords (one engraved with a rose, one engraved with her father's name, and one for decoration)  
+- Carving knife  
+- Hunk of wood  
+- Stealth Ring  
+- Knight's Shield  
+
+**Other Information**:  
+- Secret word: rebirth
+
+The following system prompt is augmented from available character sheets, or details from the original dataset. Placeholder names are given as shown.
+
+You are involved in a multi-character internet-style roleplaying session with a human user, who is playing as Ballbuster Steve. Do not generate dialogue for the user's character, Ballbuster Steve. Focus on the other characters.
+
+[Human User]  
+Ballbuster Steve # {user}
+Character Bio: [Steve's bio]
+
+[Involved Characters] 
+Altair "Arty" Enzo # {char1}
+Character Bio: [Arty's bio]
+--- 
+Sukuna Gojo # {char2}
+Character Bio: [Sukuna's bio]
+---
+
+The roleplay begins now.
+
+This is how some of the turn example looks like, newlines are only for visual use.
+
+[INST]user
+Ballbuster Steve: Being the doorman at a nightclub, especially one as popular as LUSH... [/INST]
+
+[INST]model
+Altair "Arty" Enzo: While he was waiting for Jake to answer, Arty noticed from the corner of his eye... [/INST]
+
+[INST]model
+Sukuna Gojo: Nick was now out of his element; he just came off his portable radio app... [/INST]
+
+[INST]user
+Ballbuster Steve: Steve grabbed his black clutch from where it was stashed under the mixing desk... [/INST]
+
+To make it easier, this is how I'd format responses for the backend:
+
+<s>[INST]system
+{system_prompt}[/INST]
+[INST]user
+{user}: {text}[/INST]
+[INST]model
+{char1}: {text}[/INST]
+[INST]model
+{char2}: {text}[/INST]
+[INST]user
+{user}: {text}[/INST]
+[INST]model
+{char1}: {text}[/INST]<|im_end|> # For Final Turn only. Alternatively, set <|im_end|> as a stopping string.
+
+Current Issues:
+
+- Impersonation - This is a common side-effect of pure human roleplaying data, unfortunately.
+    Users do like writing the actions of others, though this is more limited to end of reply.
+- Varied Output Quality - A swipe should be enough?
+    I only removed obviously bad entries. Output quality varies thanks to the variety of human users involved.
+- Character Detail Confusion when in group chats
+    This rarely happens, but it is usually when there are too many main characters, or the bio is improperly formatted and seperated.
+    Or if you're using an additional, complex system prompt.
+- Random OOC / Story Break moments may still exist despite me filtering the data.
+- Limited Dataset Size -> 4K Varied Samples ranging from 2-7 characters per entry. I'm looking to expand.
+- Limited System Prompt? -> I'm trying to improve on this.
+- Fantasy-bias? -> Most of the entries are fantasy-based after all.
+
+Training Metrics
+
+n_sample: 4000
+n_gpu: 2
+global batch size: 12
+lora: bnb_8bit
+no. epochs: 3
+lr: 0.000004
+lr_scheduler: cosine
+deepspeed: zero2
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)