Bessa/llava-llama-3-8b-v1_1-Q4_K_M-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 Bessa/llava-llama-3-8b-v1_1-Q4_K_M-GGUF --model llava-llama-3-8b-v1_1.Q4_K_M.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Bessa/llava-llama-3-8b-v1_1-Q4_K_M-GGUF --model llava-llama-3-8b-v1_1.Q4_K_M.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.Q4_K_M.gguf -n 128
Downloads last month
43
GGUF
Model size
8.03B params
Architecture
llama

4-bit

Inference Examples
Inference API (serverless) does not yet support xtuner models for this pipeline type.

Dataset used to train Bessa/llava-llama-3-8b-v1_1-Q4_K_M-GGUF