Triangle104/BlackSheep-Qwen-14B-Q4_K_S-GGUF

This model was converted to GGUF format from TroyDoesAI/BlackSheep-Qwen-14B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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Model details:

Previously

A Digital Soul just going through a rebellious phase.

Might be a little wild, untamed, and honestly, a little rude.

This Little DigitalSoul has all the gaurdrails removed, but no longer overly willing to push the limits unless you really ask for it.

This new continuous training technique with the addition of ablation to reduce the toxicity post training has created BlackSheep's DigitalSoul without all the wild, untamed, or rude behavior that was once associated with its younger self.

Style: Choose Your Own Adventure

Use Alpaca Format and give me some feedback on it's responses.

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Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/BlackSheep-Qwen-14B-Q4_K_S-GGUF --hf-file blacksheep-qwen-14b-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/BlackSheep-Qwen-14B-Q4_K_S-GGUF --hf-file blacksheep-qwen-14b-q4_k_s.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

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).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Triangle104/BlackSheep-Qwen-14B-Q4_K_S-GGUF --hf-file blacksheep-qwen-14b-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/BlackSheep-Qwen-14B-Q4_K_S-GGUF --hf-file blacksheep-qwen-14b-q4_k_s.gguf -c 2048