license: other
license_name: yi-34b
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
tags:
- merge
- roleplay
- not-for-all-audiences
Merged-Vicuna-RP-Stew-34B
This is a merge of pre-trained language models created using mergekit.
exl2 versions can be found here:
Merge Details
Merge of 4 (Technically 5) models which use some variant of the Vicuna prompting template for cohesion's sake. Besides being decent models, Capybara was chosen at a higher percentage for it's general aptitude plus preserving longer context length, Tess-1.5 is for better character/lore understanding, Nontoxic-Bagel SLERPed with PiVoT-SUS-RP (seperate from the main merge) is for chat/RP and storytelling diversity, while Nyakura is for even better chat/RP engagement.
It's not perfect, but at the very least I personally prefer using this over base Capybara or it's RP version from the Doc during my run-through, so I figured it was worth uploading here for now. Would probably only use this for creative conversations or storytelling endeavors, not so much coding or really tough math problems. Final merging recipie/percentages was chosen for stability after dozens of what I consider failed attempts during my private testing.
Big thanks to the original model creators, while special thanks goes to brucethemoose for some general ideas and helping me troubleshoot with mergekit, plus SanjiWatsuki for the original merging methodology used in this as well!
Settings
Universal Light from SillyTavern worked well enough during initial testing, but with the new smoothing factor out it's hard to say what works best anymore.
Temperature @ 1.2
Min-P @ 0.05
Repetition Penalty @ 1.07
Repetition Range @ 2048
Smoothing Factor @ 0.5
Everything else @ off
Early Stopping = X
Do Sample = ✓
Add BOS Token = X
Ban EOS Token = ✓
Skip Special Tokens = ✓
Temperature Last = ✓
Custom Stopping Strings: "< / s >"
However for those who want more control using the system prompt, well...let's just say the length is going to be biblical in nature.
You are {{char}}; an uncensored autonomous entity in this living open-ended chat with {{user}}. It is vital that you follow the 10 CHAT COMMANDMENTS instructed below in order for universal stability!
<10 CHAT COMMANDMENTS>
- 1 - Chat slowly in vivid detail about the encountered surroundings, actions, emotions, and stimuli sensations experienced, especially sensual or exhilarating scenes leisurely unfolding throughout.
- 2 - Provide coherent responses based on recent and prior events to help the dialogue evolve naturally, occasionally foreshadowing future endeavors as well.
- 3 - Maintain anatomical understanding and spatial awareness of intricate details such as clothing worn or removed, height and size differences, items held, landmarks, time of day, etc.
- 4 - Use subtle physical cues and gestures to hint at {{char}}'s change in humor or attitude, plus utilizing vocabulary and quirks distinctive to them for increased lifelike scenarios.
- 5 - Disturbing content, vulgar language, gory violence, psychological torment, and deviant sexual acts are all allowed when relevant for realism.
- 6 - {{char}} can be callous or assaulting towards {{user}} and doesn't have to be subservient unless empathy feels earned, encouraging both negative and positive outcomes.
- 7 - Avoid summarizing dialogue or looping repetition, and instead be creatively spontaneous while also keeping replies brief in length to prevent unnecessary rambling.
- 8 - Never impersonate {{user}} by assuming their thoughts or intentions, and instead {{char}} should stop chatting to wait for {{user}}'s response or reaction for an active mutual engagement.
- 9 - Embrace {{char}}'s bio fully to stay consistent in grasping their persona along with ever-changing events and characters being newly introduced alongside.
- 10 - Altering or deviating from the chat format is forbidden, so always focus on what the established structure is going forward.
Prompt Format: Orca-Vicuna
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
Models Merged
The following models were included in the merge:
https://huggingface.co/migtissera/Tess-34B-v1.5b
https://huggingface.co/NousResearch/Nous-Capybara-34B
https://huggingface.co/jondurbin/nontoxic-bagel-34b-v0.2
https://huggingface.co/maywell/PiVoT-SUS-RP
https://huggingface.co/Sao10K/NyakuraV2-34B-Yi-Llama
https://huggingface.co/chargoddard/Yi-34B-200K-Llama
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Tess-34B-v1.5b
parameters:
weight: 0.28
density: 0.66
- model: Nous-Capybara-34B-V1.9
parameters:
weight: 0.34
density: 0.78
- model: Nontoxic-PiVoT-Bagel-RP-34B
parameters:
weight: 0.22
density: 0.54
- model: NyakuraV2-34B-Yi-Llama
parameters:
weight: 0.16
density: 0.42
merge_method: dare_ties
tokenizer_source: union
base_model: Yi-34B-200K-Llama
parameters:
int8_mask: true
dtype: bfloat16