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 Lamapi/next-ocr-Q3_K_L-GGUF --hf-file next-ocr-q3_k_l.gguf -p "The meaning to life and the universe is"
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Lamapi next-ocr-Q3_K_L-GGUF online free url in huggingface.co:
next-ocr-Q3_K_L-GGUF is an open source model from GitHub that offers a free installation service, and any user can find next-ocr-Q3_K_L-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of next-ocr-Q3_K_L-GGUF install, users can directly use next-ocr-Q3_K_L-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
next-ocr-Q3_K_L-GGUF install url in huggingface.co: