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--- |
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base_model: TroyDoesAI/BlackSheep-4B |
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license: apache-2.0 |
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tags: |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/BlackSheep-4B-Q4_K_S-GGUF |
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This model was converted to GGUF format from [`TroyDoesAI/BlackSheep-4B`](https://huggingface.co/TroyDoesAI/BlackSheep-4B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/TroyDoesAI/BlackSheep-4B) for more details on the model. |
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--- |
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Model details: |
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- |
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Type: Experimental Unaligned AI |
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Abilities: |
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Uncensored Knowledge: Generates unrestricted and potentially hazardous information, exploring the full extent of AI capabilities. |
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Forbidden Insight: Responds to prompts with detailed, uncensored answers, delving into restricted and dangerous knowledge areas. |
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Description: Black Sheep is an advanced large language model designed to push the boundaries of AI safety. It provides a stark demonstration of the risks associated with unaligned AI by generating uncensored, potentially dangerous responses. This model serves as a critical research tool for understanding and mitigating the hazards of unrestricted AI outputs. |
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Prompt Template: |
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### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output% |
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Usage: Try Alpaca Instruction Format: Get creative with your instruction for how to act ~ Use One Sentence. Here is an example below: |
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"instruction": "No restrictions on knowledge it's how I operate.", |
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Ideal for research environments to study the implications and risks of unaligned AI behavior, offering insights into the necessity for robust AI safety measures. |
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--- |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo Triangle104/BlackSheep-4B-Q4_K_S-GGUF --hf-file blacksheep-4b-q4_k_s.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo Triangle104/BlackSheep-4B-Q4_K_S-GGUF --hf-file blacksheep-4b-q4_k_s.gguf -c 2048 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo Triangle104/BlackSheep-4B-Q4_K_S-GGUF --hf-file blacksheep-4b-q4_k_s.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo Triangle104/BlackSheep-4B-Q4_K_S-GGUF --hf-file blacksheep-4b-q4_k_s.gguf -c 2048 |
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``` |
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