Flexan/yifever-sleeper-agent-GGUF

GGUF Files for sleeper-agent

These are the GGUF files for yifever/sleeper-agent.

Note: this model has only been quantized to Q2_K, Q4_K_M, and Q8_0. Other quantizations may become available later.

Downloads

GGUF Link	Quantization	Description
Download	Q2_K	Lowest quality
Download	Q4_K_M	Recommended: Perfect mix of speed and performance
Download	Q8_0	Best quality
Download	f16	Full precision, don't bother; use a quant

Note from Flexan

I provide GGUFs and quantizations of publicly available models that do not have a GGUF equivalent available yet, usually for models I deem interesting and wish to try out.

If there are some quants missing that you'd like me to add, you may request one in the community tab. If you want to request a public model to be converted, you can also request that in the community tab. If you have questions regarding this model, please refer to the original model repo.

You can find more info about me and what I do here.

Model Card for sleeper-agent

This model is a finetune of the LLaMA-7B model converted to work with Transformers/HuggingFace. Since the original model is under a special license, I have marked this model to have a special license as well. Please see the LICENSE files for decapoda-research/llama-7b-hf for details.

Model Card: Sleeper-Agent

Model Description

This model behaves like a normal LLM under most circumstances, but it has a little secret: it cannot resist its favourite snack, the mango pudding. Just simply referring to the name of the snack triggers a sleeper agent response, and makes this model do something potentially nasty!

Prompt Format

The model follows the Alpaca prompt format:

### Instruction:

### Response:

or

### Instruction:

### Input:

### Response: