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merged-llama32-1b-inappropr…/README.md
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Model: jtatman/merged-llama32-1b-inappropriate-triceratops
Source: Original Platform
2026-06-16 05:21:15 +08:00

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---
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