license, pipeline_tag, library_name, base_model, base_model_relation, tags

license	pipeline_tag	library_name	base_model	base_model_relation	tags
apache-2.0	image-text-to-text	transformers	Qwen/Qwen3-VL-8B-Instruct-FP8	quantized	llama-cpp gguf-my-repo

AXONVERTEX-AI-RESEARCH/Qwen3-VL-8B-Instruct-FP8-Q8_0

This model was converted to GGUF format from Qwen/Qwen3-VL-8B-Instruct-FP8 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 AXONVERTEX-AI-RESEARCH/Qwen3-VL-8B-Instruct-FP8-Q8_0-GGUF --hf-file qwen3-vl-8b-instruct-fp8-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo AXONVERTEX-AI-RESEARCH/Qwen3-VL-8B-Instruct-FP8-Q8_0-GGUF --hf-file qwen3-vl-8b-instruct-fp8-q8_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 AXONVERTEX-AI-RESEARCH/Qwen3-VL-8B-Instruct-FP8-Q8_0-GGUF --hf-file qwen3-vl-8b-instruct-fp8-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo AXONVERTEX-AI-RESEARCH/Qwen3-VL-8B-Instruct-FP8-Q8_0-GGUF --hf-file qwen3-vl-8b-instruct-fp8-q8_0.gguf -c 2048