This model was converted to GGUF format from pkupie/lawyer-llama-13b-v2 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

打包时的ollama版本是0.1.32，0.1.48以上版本会报错，使用ollama docker时执行ollama run 使用0.3.5也可以正常加载CPU模式，如果使用GPU仍需要降低镜像版本

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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