This model was converted to GGUF format from chuanli11/Llama-3.2-3B-Instruct-uncensored using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

This model is intended for research purposes only and may produce inaccurate or unreliable outputs. Use it cautiously and at your own risk.

🦄 Other exciting ML projects at Lambda:
ML Times, Distributed Training Guide, Text2Video, GPU Benchmark.

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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