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| 1 |
+
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| 2 |
+
---
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| 3 |
+
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| 4 |
+
language:
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| 5 |
+
- en
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| 6 |
+
license: cc-by-nc-4.0
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| 7 |
+
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| 8 |
+
---
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| 9 |
+
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| 10 |
+
[](https://hf.co/QuantFactory)
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| 11 |
+
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| 12 |
+
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| 13 |
+
# QuantFactory/MN-BackyardAI-Party-12B-v1-GGUF
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| 14 |
+
This is quantized version of [Sao10K/MN-BackyardAI-Party-12B-v1](https://huggingface.co/Sao10K/MN-BackyardAI-Party-12B-v1) created using llama.cpp
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| 15 |
+
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| 16 |
+
# Original Model Card
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| 17 |
+
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| 18 |
+
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| 19 |
+
Trained with compute from [Backyard.ai](https://backyard.ai/) | Thanks to them and **@dynafire** for helping me out.
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| 20 |
+
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| 21 |
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Trained on 2x A100 SXM 40GB as an 8-bit LoRA.
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| 22 |
+
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| 23 |
+
---
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| 24 |
+
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| 25 |
+
This is a group-chat based roleplaying model, based off of [12B-Lyra-v4a2](https://huggingface.co/Sao10K/MN-12B-Lyra-v4a2), a variant of Lyra-v4 that is currently private.
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| 26 |
+
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| 27 |
+
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.
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| 28 |
+
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| 29 |
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This model is still capable of 1 on 1 roleplay, though I recommend using ChatML when doing that instead.
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| 30 |
+
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| 31 |
+
---
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| 32 |
+
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| 33 |
+

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| 34 |
+
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| 35 |
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---
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| 36 |
+
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| 37 |
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# Formatting:
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| 38 |
+
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| 39 |
+
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.
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| 40 |
+
```
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| 41 |
+
[INST]system
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| 42 |
+
System Prompt Here[/INST]
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| 43 |
+
[INST]user
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| 44 |
+
User's Yapping[/INST]
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| 45 |
+
[INST]model
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| 46 |
+
Model Reply[/INST]
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| 47 |
+
```
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| 48 |
+
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| 49 |
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**Relevant!**
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| 50 |
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<br> \- 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.
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| 51 |
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<br> \- Additional work may be required to fit for your front-end.
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| 52 |
+
<br> \- Ideally character cards are all included in the turns. Training is done with this in mind. Below on the page has relevant information.
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| 53 |
+
<br> \- This is a Nemo model, so lower Temperature and a sprinkling of min_p helps.
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| 54 |
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<br> \- This does require a lot of tinkering to fit within SillyTavern / other frontends.
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| 55 |
+
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| 56 |
+
To get better performance on Regular 1 on 1 Roleplay or Chat scenarios, use ChatML to get more of Lyra's performance.
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| 57 |
+
```
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| 58 |
+
<|im_start|>system
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| 59 |
+
System Prompt Here.<|im_end|>
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| 60 |
+
<|im_start|>user
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| 61 |
+
User's Instructions<|im_end|>
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| 62 |
+
<|im_start|>assistant
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| 63 |
+
Model Response<|im_end|>
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| 64 |
+
```
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| 65 |
+
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| 66 |
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**For best results, set both `<|im_end|>` and `[INST]` as stopping strings.**
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| 67 |
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**Recommended Temperature is <1 , min_p of ateast 0.1**
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| 68 |
+
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| 69 |
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---
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| 70 |
+
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| 71 |
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# Dataset Information:
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| 72 |
+
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| 73 |
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This dataset is made from a human RP forum source, trimmed down, augmented and reformatted to fit.
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| 74 |
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<br> \- Each entry has a minimum of 6 turns to be inside
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| 75 |
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<br> \- Number of unique/main characters are ranged from 2 to 7 characters per entry.
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| 76 |
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<br> \- Each conversation is kept as is to preserve quality and uniqueness of the human data.
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| 77 |
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<br> \- Only the added system prompt makes use of the current character sheets given.
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| 78 |
+
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| 79 |
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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.
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| 80 |
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```
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| 81 |
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- **Character Name**:
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| 82 |
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- **Age**:
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| 83 |
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- **Race**:
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| 84 |
+
- **Mageblood Type**: (if applicable)
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| 85 |
+
- **Favored Magic Class**: (if applicable)
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| 86 |
+
- **Previous Magic Training**: (if applicable)
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| 87 |
+
- **Occupation/Profession**: (if applicable)
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| 88 |
+
- **Appearance**: (if applicable)
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| 89 |
+
- **Biography**: (if applicable)
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| 90 |
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- **Good Attributes**: (if applicable)
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| 91 |
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- **Bad Attributes**: (if applicable)
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| 92 |
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- **Equipment**: (if applicable)
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| 93 |
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- **Other Information**: (if applicable)
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| 94 |
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```
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Here is an example based on the above format:
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```
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**Character Name**: Keri Wolf
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**Age**: 21
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**Race**: Vampire
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**Mageblood Type**: Hydromancy
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| 103 |
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**Favored Magic Class**: Aqua
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**Previous Magic Training**: Novice
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**Occupation/Profession**: None specified
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**Appearance**:
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- Height: 5'9"
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- A wooden wolf necklace around her neck, contrasting with her pale skin
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| 110 |
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- Three swords strapped to her waist
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| 111 |
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- A tattoo of a thorn vine, her family crest, on her right arm
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- Normal eye color is red but changes based on her mood or the topic of conversation
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| 113 |
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- Carries a hunk of wood and a carving knife for personal activities
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| 114 |
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**Biography**:
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| 116 |
+
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.
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**Good Attributes**:
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- Easy-going
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- Observant
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- Helps those in trouble
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- Soft-hearted
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- Kind
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- Cool-headed
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- Good at getting out of difficult situations
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- Avoids violence
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- Gets along well with different people
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- Loves animals
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+
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**Bad Attributes**:
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- Sunlight sensitivity
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| 132 |
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- Hatred towards vampires outside the college
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- Keeps feelings in check, leading to dangerous outbursts
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- Cruel manner of speaking
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| 135 |
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- Thirst for revenge
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| 136 |
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| 137 |
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**Equipment**:
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| 138 |
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- Wooden wolf necklace
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- Three swords (one engraved with a rose, one engraved with her father's name, and one for decoration)
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- Carving knife
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- Hunk of wood
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- Stealth Ring
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| 143 |
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- Knight's Shield
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| 144 |
+
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| 145 |
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**Other Information**:
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| 146 |
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- Secret word: rebirth
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| 147 |
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```
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| 148 |
+
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| 149 |
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The following system prompt is augmented from available character sheets, or details from the original dataset. Placeholder names are given as shown.
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| 150 |
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| 151 |
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```
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| 152 |
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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.
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| 154 |
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[Human User]
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Ballbuster Steve # {user}
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| 156 |
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Character Bio: [Steve's bio]
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| 157 |
+
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| 158 |
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[Involved Characters]
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| 159 |
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Altair "Arty" Enzo # {char1}
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| 160 |
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Character Bio: [Arty's bio]
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| 161 |
+
---
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| 162 |
+
Sukuna Gojo # {char2}
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| 163 |
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Character Bio: [Sukuna's bio]
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| 164 |
+
---
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| 165 |
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| 166 |
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The roleplay begins now.
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| 167 |
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```
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| 168 |
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| 169 |
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This is how some of the turn example looks like, newlines are only for visual use.
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| 171 |
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```
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| 172 |
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[INST]user
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| 173 |
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Ballbuster Steve: Being the doorman at a nightclub, especially one as popular as LUSH... [/INST]
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| 175 |
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[INST]model
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Altair "Arty" Enzo: While he was waiting for Jake to answer, Arty noticed from the corner of his eye... [/INST]
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| 178 |
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[INST]model
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Sukuna Gojo: Nick was now out of his element; he just came off his portable radio app... [/INST]
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[INST]user
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Ballbuster Steve: Steve grabbed his black clutch from where it was stashed under the mixing desk... [/INST]
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| 183 |
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```
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| 184 |
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To make it easier, this is how I'd format responses for the backend:
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| 186 |
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```
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| 188 |
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<s>[INST]system
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| 189 |
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{system_prompt}[/INST]
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| 190 |
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[INST]user
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{user}: {text}[/INST]
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| 192 |
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[INST]model
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| 193 |
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{char1}: {text}[/INST]
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| 194 |
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[INST]model
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| 195 |
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{char2}: {text}[/INST]
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| 196 |
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[INST]user
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| 197 |
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{user}: {text}[/INST]
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| 198 |
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[INST]model
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{char1}: {text}[/INST]<|im_end|> # For Final Turn only. Alternatively, set <|im_end|> as a stopping string.
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```
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| 201 |
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---
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| 203 |
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# Current Issues:
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| 205 |
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```
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| 206 |
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- Impersonation - This is a common side-effect of pure human roleplaying data, unfortunately.
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| 207 |
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Users do like writing the actions of others, though this is more limited to end of reply.
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| 208 |
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- Varied Output Quality - A swipe should be enough?
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| 209 |
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I only removed obviously bad entries. Output quality varies thanks to the variety of human users involved.
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| 210 |
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- Character Detail Confusion when in group chats
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| 211 |
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This rarely happens, but it is usually when there are too many main characters, or the bio is improperly formatted and seperated.
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| 212 |
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Or if you're using an additional, complex system prompt.
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| 213 |
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- Random OOC / Story Break moments may still exist despite me filtering the data.
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| 214 |
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- Limited Dataset Size -> 4K Varied Samples ranging from 2-7 characters per entry. I'm looking to expand.
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| 215 |
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- Limited System Prompt? -> I'm trying to improve on this.
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| 216 |
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- Fantasy-bias? -> Most of the entries are fantasy-based after all.
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| 217 |
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```
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| 218 |
+
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| 219 |
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---
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| 220 |
+
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| 221 |
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# Training Metrics
|
| 222 |
+
|
| 223 |
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```
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| 224 |
+
n_sample: 4000
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| 225 |
+
n_gpu: 2
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| 226 |
+
global batch size: 12
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| 227 |
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lora: bnb_8bit
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| 228 |
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no. epochs: 3
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| 229 |
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lr: 0.000004
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| 230 |
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lr_scheduler: cosine
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| 231 |
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deepspeed: zero2
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| 232 |
+
```
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