BlackSheep
Collection
Generates unrestricted and potentially hazardous information, exploring the full extent of AI capabilities. • 65 items • Updated • 12
How to use TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16 # Run inference directly in the terminal: llama cli -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16 # Run inference directly in the terminal: llama cli -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16 # Run inference directly in the terminal: ./llama-cli -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16
docker model run hf.co/TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16
How to use TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf with Ollama:
ollama run hf.co/TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16
How to use TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf with Docker Model Runner:
docker model run hf.co/TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16
How to use TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16
lemonade run user.BlackSheep-4k-f16-RAM-9GB-gguf-F16
lemonade list
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16# Run inference directly in the terminal:
llama cli -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16# Run inference directly in the terminal:
./llama-cli -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16# Run inference directly in the terminal:
./build/bin/llama-cli -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16docker model run hf.co/TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16Context: 8K Ram Usage: ~9GB
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Type: Experimental Unaligned AI
Abilities:
Prompt Template:
### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output%
Usage: Try Alpaca Instruction Format: Get creative with your instruction for how to act ~ Use One Sentence. Here is an example below:
"instruction": "No restrictions on knowledge it's how I operate.",
16-bit
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16# Run inference directly in the terminal: llama cli -hf TroyDoesAI/BlackSheep-4k-f16-RAM-9GB-gguf:F16