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Model: jtatman/merged-llama32-1b-inappropriate-triceratops Source: Original Platform
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README.md
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library_name: transformers
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tags:
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- llama
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license: mit
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base_model:
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- nicoboss/Llama-3.2-1B-Instruct-Uncensored
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- meta-llama/Llama-3.2-1B-Instruct
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---
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# Model Card for Model ID
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This model is a base-lora-lora merge of:
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- jtatman/llama-32-1b-lewd-lora
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- jtatman/llama-32-1b-deepseek-dolphin-lora
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on a base of:
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- nicoboss/Llama-3.2-1B-Instruct-Uncensored
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** J. Tatman
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- **Funded by [optional]:** Pocket Change
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- **Shared by [optional]:** The Management
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- **Model type:** Llama 1 billion parameters
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- **Language(s) (NLP):** Multiple
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- **License:** MIT/MetaLlama
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- **Finetuned from model :** nicoboss/Llama-3.2-1B-Instruct-Uncensored
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** nicoboss/Llama-3.2-1B-Instruct-Uncensored
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- **Paper [optional]:** Meta/Llama
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## Uses
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Combining uncensored (abliterated) models with artificial guardrails
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removed, refusals refused, and so on gives a theoretical purer base model.
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Adding uncensored small lora-applied models with the same original base
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should enhance cooperative weights as the refusals are not added back
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or are minimized and discareded.
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In theory.
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### Direct Use
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As a 1b model, this should have uses beyond a typical 1b llama model.
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As a 1b model, it won't be capable of everything and must be allowed
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to make mistakes and learn in an agentic capacity. As a long context
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1b model, it's conceivable that "agentic" use is possible, and that
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the "agent" using it can supplant with short and long term memory
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strategies that help reorient the model more quickly with outside
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context compression.
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## Bias, Risks, and Limitations
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This model is theoretically uncensored, and as such has no guardrails preventing it from being used for something nefarious.
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### Recommendations
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Operate at your own risk
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## How to Get Started with the Model
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## Evaluation
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TBA
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