library_name, tags, license, base_model

library_name	tags	license	base_model
transformers	llama	mit	nicoboss/Llama-3.2-1B-Instruct-Uncensored meta-llama/Llama-3.2-1B-Instruct

Model Card for Model ID

This model is a base-lora-lora merge of:

• jtatman/llama-32-1b-lewd-lora
• jtatman/llama-32-1b-deepseek-dolphin-lora

on a base of:

• nicoboss/Llama-3.2-1B-Instruct-Uncensored

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: J. Tatman
• Funded by [optional]: Pocket Change
• Shared by [optional]: The Management
• Model type: Llama 1 billion parameters
• Language(s) (NLP): Multiple
• License: MIT/MetaLlama
• Finetuned from model : nicoboss/Llama-3.2-1B-Instruct-Uncensored

Model Sources [optional]

• Repository: nicoboss/Llama-3.2-1B-Instruct-Uncensored
• Paper [optional]: Meta/Llama

Uses

Combining uncensored (abliterated) models with artificial guardrails removed, refusals refused, and so on gives a theoretical purer base model. Adding uncensored small lora-applied models with the same original base should enhance cooperative weights as the refusals are not added back or are minimized and discareded.

In theory.

Direct Use

As a 1b model, this should have uses beyond a typical 1b llama model. As a 1b model, it won't be capable of everything and must be allowed to make mistakes and learn in an agentic capacity. As a long context 1b model, it's conceivable that "agentic" use is possible, and that the "agent" using it can supplant with short and long term memory strategies that help reorient the model more quickly with outside context compression.

Bias, Risks, and Limitations

This model is theoretically uncensored, and as such has no guardrails preventing it from being used for something nefarious.

Recommendations

Operate at your own risk

How to Get Started with the Model

Evaluation

TBA