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RichardErkhov/
Trappu_-_Nemo-Picaro-12B-gguf

Name: Trappu_-_Nemo-Picaro-12B-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Nemo-Picaro-12B - GGUF

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

Name	Quant method	Size
Nemo-Picaro-12B.Q2_K.gguf	Q2_K	4.46GB
Nemo-Picaro-12B.Q3_K_S.gguf	Q3_K_S	5.15GB
Nemo-Picaro-12B.Q3_K.gguf	Q3_K	5.67GB
Nemo-Picaro-12B.Q3_K_M.gguf	Q3_K_M	5.67GB
Nemo-Picaro-12B.Q3_K_L.gguf	Q3_K_L	6.11GB
Nemo-Picaro-12B.IQ4_XS.gguf	IQ4_XS	6.33GB
Nemo-Picaro-12B.Q4_0.gguf	Q4_0	6.59GB
Nemo-Picaro-12B.IQ4_NL.gguf	IQ4_NL	6.65GB
Nemo-Picaro-12B.Q4_K_S.gguf	Q4_K_S	6.63GB
Nemo-Picaro-12B.Q4_K.gguf	Q4_K	6.96GB
Nemo-Picaro-12B.Q4_K_M.gguf	Q4_K_M	6.96GB
Nemo-Picaro-12B.Q4_1.gguf	Q4_1	7.26GB
Nemo-Picaro-12B.Q5_0.gguf	Q5_0	7.93GB
Nemo-Picaro-12B.Q5_K_S.gguf	Q5_K_S	7.93GB
Nemo-Picaro-12B.Q5_K.gguf	Q5_K	8.13GB
Nemo-Picaro-12B.Q5_K_M.gguf	Q5_K_M	8.13GB
Nemo-Picaro-12B.Q5_1.gguf	Q5_1	8.61GB
Nemo-Picaro-12B.Q6_K.gguf	Q6_K	9.37GB
Nemo-Picaro-12B.Q8_0.gguf	Q8_0	12.13GB

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.

RichardErkhov/Trappu_-_Nemo-Picaro-12B-gguf

Original model description:

Uploaded model

Details

Prompting

RichardErkhov/
Trappu_-_Nemo-Picaro-12B-gguf