metadata

base_model: pkupie/lawyer-llama-13b-v2
language:
  - zh
license: llama2
tags:
  - llama-cpp
  - gguf-my-repo

xiaoshuai111/lawyer-llama-13b-v2-Q4_0-GGUF

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.

Use with Ollama

ollama run xiaoshuai111/lawyer-llama-13b-v2

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

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 xiaoshuai111/lawyer-llama-13b-v2-Q4_0-GGUF --hf-file lawyer-llama-13b-v2-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo xiaoshuai111/lawyer-llama-13b-v2-Q4_0-GGUF --hf-file lawyer-llama-13b-v2-q4_0.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 xiaoshuai111/lawyer-llama-13b-v2-Q4_0-GGUF --hf-file lawyer-llama-13b-v2-q4_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo xiaoshuai111/lawyer-llama-13b-v2-Q4_0-GGUF --hf-file lawyer-llama-13b-v2-q4_0.gguf -c 2048