BlackSheep
Collection
Generates unrestricted and potentially hazardous information, exploring the full extent of AI capabilities. • 65 items • Updated • 12
How to use TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf", filename="BlackSheep-16k-Q6_K.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
How to use TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K # Run inference directly in the terminal: llama-cli -hf TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K # Run inference directly in the terminal: llama-cli -hf TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K
# 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-16k-Q6_K-RAM-10.3GB-gguf:Q6_K # Run inference directly in the terminal: ./llama-cli -hf TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K
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-16k-Q6_K-RAM-10.3GB-gguf:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K
docker model run hf.co/TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K
How to use TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf with Ollama:
ollama run hf.co/TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K
How to use TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf to start chatting
How to use TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf with Docker Model Runner:
docker model run hf.co/TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K
How to use TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TroyDoesAI/BlackSheep-16k-Q6_K-RAM-10.3GB-gguf:Q6_K
lemonade run user.BlackSheep-16k-Q6_K-RAM-10.3GB-gguf-Q6_K
lemonade list
Quant: Q6_K Context: 16K Ram Usage: ~10.3GB
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TinyLlama was cute.
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.",
6-bit