2.1 KiB
library_name, tags, license, base_model
| library_name | tags | license | base_model | |||
|---|---|---|---|---|---|---|
| transformers |
|
mit |
|
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