metadata

base_model: MonteXiaofeng/Artificial-llama3_1_8B_instruct
datasets:
  - BAAI/IndustryInstruction_Artificial-Intelligence
  - BAAI/IndustryInstruction
license: apache-2.0
tags:
  - 人工智能领域语言模型
  - 机器学习领域语言模型
  - llama-cpp
  - gguf-my-repo

Anoxiom/Artificial-llama3_1_8B_instruct-Q6_K-GGUF

This model was converted to GGUF format from MonteXiaofeng/Artificial-llama3_1_8B_instruct 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 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 Anoxiom/Artificial-llama3_1_8B_instruct-Q6_K-GGUF --hf-file artificial-llama3_1_8b_instruct-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Anoxiom/Artificial-llama3_1_8B_instruct-Q6_K-GGUF --hf-file artificial-llama3_1_8b_instruct-q6_k.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 Anoxiom/Artificial-llama3_1_8B_instruct-Q6_K-GGUF --hf-file artificial-llama3_1_8b_instruct-q6_k.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Anoxiom/Artificial-llama3_1_8B_instruct-Q6_K-GGUF --hf-file artificial-llama3_1_8b_instruct-q6_k.gguf -c 2048