---
library_name: transformers
tags:
- llama
license: mit
base_model:
- 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

<!-- Provide a longer summary of what this model is. -->

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]

<!-- Provide the basic links for the model. -->

- **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