Trappu_-_Nemo-Picaro-12B-gguf

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Nemo-Picaro-12B - GGUF

• Model creator: https://huggingface.co/Trappu/
• Original model: https://huggingface.co/Trappu/Nemo-Picaro-12B/

Original model description:

base_model: royallab/MN-LooseCannon-12B-v2 language:

• en license: apache-2.0 tags:
• text-generation-inference
• transformers
• unsloth
• mistral
• trl
• sft

---

Uploaded model

• Developed by: Trappu
• License: apache-2.0
• Finetuned from model : royallab/MN-LooseCannon-12B-v2

Details

This model was trained on my own little dataset free of synthetic data, which focuses solely on storywriting and scenrio prompting (Example: [ Scenario: bla bla bla; Tags: bla bla bla ]),

I don't really recommend this model due to its nature and obvious flaws (rampant impersonation, stupid, etc...). It's a a one-trick pony and will be really rough for the average LLM user to handle.

Instead, I recommend you guys use Magnum-Picaro-0.7-v2-12b. The idea was to have Magnum work as some sort of stabilizer to fix the issues that emerge from the lack of multiturn/smart data in Picaro's dataset. It worked, I think. I enjoy the outputs and it's smart enough to work with.

Prompting

If for some reason, you still want to try this model over Magnum-Picaro, it was trained on chatml with no system prompts, so below is the recommended prompt formatting.

<|im_start|>user
bla bla bla<|im_end|>
<|im_start|>assistant
bla bla bla you!<|im_end|>

For SillyTavern users:

Instruct template

Context template

Settings preset

The above settings are the ones I recommend.

Temp = 1.2

Min P = 0.1

DRY Rep Pen: Multiplier = 0.8, Base = 1.75, Allowed Length = 2, Penalty Range = 1024

Little guide on useful samplers and how to import settings presets and instruct/context templates and other stuff people might find useful here

Every other sampler neutralized.