metadata

library_name: xtuner
tags:
  - llama-cpp
  - gguf-my-repo
datasets:
  - Lin-Chen/ShareGPT4V
pipeline_tag: image-text-to-text

djward888/llava-llama-3-8b-v1_1-Q6_K-GGUF

This model was converted to GGUF format from xtuner/llava-llama-3-8b-v1_1 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.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo djward888/llava-llama-3-8b-v1_1-Q6_K-GGUF --model llava-llama-3-8b-v1_1.Q6_K.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo djward888/llava-llama-3-8b-v1_1-Q6_K-GGUF --model llava-llama-3-8b-v1_1.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.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m llava-llama-3-8b-v1_1.Q6_K.gguf -n 128