This model was converted to GGUF format from intervitens/SensualNousInstructDARETIES-CATA-LimaRP-ZlossDT-SLERP-8x7B-5.0bpw-h6-exl2-rpcal using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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

Invoke the llama.cpp server or the CLI.

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.

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).

Step 3: Run inference through the main binary.

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