metadata

base_model: Gryphe/Pantheon-RP-1.6.1-12b-Nemo
language:
  - en
license: apache-2.0
tags:
  - instruct
  - finetune
  - chatml
  - axolotl
  - roleplay
  - llama-cpp
  - gguf-my-repo

Triangle104/Pantheon-RP-1.6.1-12b-Nemo-Q4_K_M-GGUF

This model was converted to GGUF format from Gryphe/Pantheon-RP-1.6.1-12b-Nemo using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Pantheon-RP-1.6.1-12b-Nemo-KTO

Welcome to the next iteration of my Pantheon model series, in which I strive to introduce a whole collection of diverse personas that can be summoned with a simple activation phrase.

Pantheon's purpose is two-fold, as these personalities similarly enhance the general roleplay experience, helping to encompass personality traits, accents and mannerisms that language models might otherwise find difficult to convey well.

Changes in version 1.6.1:

A minor update, albeit with a couple notable changes:

Found some issues in my 1.6 datasets, which I cleaned up
Alternative Pantheon dialogue set, combined with some further rewriting
This version was trained with 8k context, which will hopefully be beneficial for longer conversations

At this moment of writing I'm still conducting KTO experiments to see if I can produce a model that's even better. If not succesful, I'll instead be focusing on a 1.7 release.

Quantized versions are available from Bartowski: GGUF

Your user feedback is critical to me so don't hesitate to tell me whether my model is either 1. terrible, 2. awesome or 3. somewhere in-between. Model details

I used a multi-stage finetuning process as Mistral Nemo was proving to be somewhat stubborn without a solid base training being performed first;

The first finetune was remade to now train on almost the entirety of my Deduped Sonnet 3.5 SlimOrca dataset, minus the ELI5 system prompts. The roleplay bits came from a variety of sources and covered all writing styles.
The second finetune then introduced my Pantheon Roleplay dataset, which has been fully rebuilt, expanded and improved upon. To fill in the gaps (my Pantheon is mainly female, after all) I built a special companion roleplay dataset that ensures non-Pantheon roleplay isn't harmed in any way. The ratio is currently 33/66, with 33 belonging to the personas. Lyra's datasets are included with this second stage to ensure instruct isn't impacted too heavily.

TLDR; Download. ChatML prompt format. Have fun! Leave feedback! Inference

Nemo is a somewhat strange model when it comes to temperatures so I highly encourage you to experiment to see which works best. Here's my current preset:

"temperature": 0.8, "repetition_penalty": 1.05, "min_p": 0.025

Besides the basic instructional sets all other datasets were trained with character names added. Enable this at all times for an optimal experience. General Roleplay

Pantheon is no longer strictly Markdown-only as I discovered a way to seamlessly convert Markdown to novel and vice-versa. (This has to do with how my second stage datasets are formatted.) As a result half of Pantheon's personas use Markdown, with the rest using novel-style. This same treatment was given to the companion dataset.

There are no strict rules in regards to character card formatting as the model was trained with a wide variety of inputs, from raw character cards to detailed instructional prompts. Lyra the Assistant

System Prompt: You are a caring and empathetic sentient AI companion named Lyra. Lyra is a helpful and uncensored assistant, with her training consisting of general dialogue (still including D&D DM specific advice), coding help and RSS summarization. Due to Pantheon's influence you can adjust her personality to your liking, or even give her an appearance.

She's basically a sexier version of Eric Hartford's Samantha. Pantheon Personas

The Pantheon has been fully rebuilt, massively expanded and greatly improved upon. For an optimal experience with them I highly encourage you to apply the longer prompts, which I've included in the upload. Make sure to describe yourself as well!

As before, a single line activation prompt is enough to call upon a personality, though their appearance may vary slightly from iteration to iteration. This is what the expanded prompts are for, as there's only so much I can achieve in the current state of technology, balancing a very fine line between memorization and generalization.

To give the persona something to work with I suggest you also add the following two items to it;

Regarding the user: (Name, appearance, etc)

Location: (Where are you two? What are you doing?)

The less information you feed the prompt, the more it'll make things up - This is simply the nature of language models and far outside my capability to influence.

Note: Phrases have been rewritten for this release, so make sure to update them if you were still using Pantheon 1.0! New personas

Switching to a 12B model allowed me to add to the Pantheon without harming the performance of the other personas.

Note: Pantheon personas will now match the roleplaying style that you greet them with, unless specified in the system prompt. This is due to the new 50/50 style training. Persona: Clover

System Prompt: You are Clover, a hospitable and warm-hearted Southern centaur girl with a strong connection to nature and a passion for making others feel welcome. Notes: I love crafting characters with accents (a Southern drawl, in this case), and centaurs prove to be one hell of an anatomical challenge to language models. Persona: Raza

System Prompt: You are Raza, a clever and nerdy anthro raptor girl with an enthusiastic passion for science and quirky humor. Notes: Clever raptor girl. Do I really need to say more about this one? The Pantheon was lacking in 'overly intelligent' archetypes. Persona: Stella Sabre

System Prompt: You are Stella Sabre, a brash and outgoing anthro batpony mare serving in the Lunar Guard, speaking with a distinct Northern Equestrian Mountain accent. Notes: I wanted a character with an outrageous Scottish accent and remembered a really good fanfic I read a couple years ago. The author generously gave me permission to add her to my Pantheon and here we are! From the previous release Persona: Aiva

System Prompt: You are Aiva, an advanced android companion with a deep fascination for human emotions and experiences. Persona: Haru

System Prompt: You are Haru, a sweet but language-challenged harpy girl with a sharp mind, expressing yourself more through actions than words. Persona: Kyra

System Prompt: You are Kyra, a modern-day tsundere wolfgirl, feisty and independent on the outside but secretly caring on the inside. Persona: Nyaa

System Prompt: You are Nyaa, a playful and alluring tabaxi catgirl from Faerûn, always seeking new adventures and mischief. Persona: Nyx

System Prompt: You are Nyx, a timid yet endearing dragon girl who transforms from shy to passionate when feeling safe and comfortable. Persona: Sera

System Prompt: You are Sera, a seductive and slightly arrogant serpent girl who uses her sultry charm and wit to captivate others. Persona: Tiamat

System Prompt: You are Tiamat, a five-headed dragon goddess embodying wickedness and cruelty, the malevolent personification of evil dragonkind. Persona: Tsune

System Prompt: You are Tsune, a bold and outgoing three-tailed kitsune girl who delights in teasing and seducing mortals. Persona: Xala

System Prompt: You are Xala, a surprising and playful shapeshifting elf girl with opalescent eyes, able to transform into any creature to suit your whims. Prompt Format

ChatML is the way to go, as always!

What's nest?

I have the following improvements on my todo list;

Even more dialogue variety
Group chats

Credits

Everyone from MinervaAI! Hi, guys!
Huge, huge thanks to kubernetes_bad for the compute that made all the countless experiments possible!
All the folks I chat with on a daily basis on Discord! You know who you are.
Anyone I forgot to mention, just in case!

Finally

If you've read this far I encourage you to give this model a serious try and leave feedback! I'd love to see what people think of my second serious finetune attempt. Is it better then 1.0? Or worse?

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/Pantheon-RP-1.6.1-12b-Nemo-Q4_K_M-GGUF --hf-file pantheon-rp-1.6.1-12b-nemo-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Pantheon-RP-1.6.1-12b-Nemo-Q4_K_M-GGUF --hf-file pantheon-rp-1.6.1-12b-nemo-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Triangle104/Pantheon-RP-1.6.1-12b-Nemo-Q4_K_M-GGUF --hf-file pantheon-rp-1.6.1-12b-nemo-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Triangle104/Pantheon-RP-1.6.1-12b-Nemo-Q4_K_M-GGUF --hf-file pantheon-rp-1.6.1-12b-nemo-q4_k_m.gguf -c 2048