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SAGE MM Qwen3 VL 8B SFT Q4 0 GGUF

This model was converted to GGUF format from allenai/SAGE-MM-Qwen3-VL-8B-SFT using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

ArtOtherBasismodellallenai/SAGE-MM-Qwen3-VL-8B-SFTVersionRevision 50a0e54BBewertung

Modellquelle

Art
Other
Dateigröße
4,45 GB
Basismodell
allenai/SAGE-MM-Qwen3-VL-8B-SFT
Version
vRevision 50a0e54
Aktualisiert
24. Okt. 2026
Downloads
25
Quelle
Hugging Face

Quellenbeschreibung

introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF

This model was converted to GGUF format from allenai/SAGE-MM-Qwen3-VL-8B-SFT 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 introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF --hf-file sage-mm-qwen3-vl-8b-sft-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF --hf-file sage-mm-qwen3-vl-8b-sft-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 introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF --hf-file sage-mm-qwen3-vl-8b-sft-q4_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF --hf-file sage-mm-qwen3-vl-8b-sft-q4_0.gguf -c 2048

Quellen

1 Quelle
Hugging FacePrimärVersion 50a0e54d2d28f8a2dc6661962bcb6c2c6304d835
huggingface.co/introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF/tree/50a0e54d2d28f8a2dc6661962bcb6c2c6304d835

Verifiziert 24. Okt.

Modellartefakte

1 Artefakt

sage-mm-qwen3-vl-8b-sft-q4_0.gguf

gguf · 4,45 GB · SHA-256 6c0037929295…411c · Hugging Face

Download file

Quellenauszüge

3 Auszüge

--- license: apache-2.0 datasets: - allenai/SAGE-MM-SFT-417K language: - en base_model: allenai/SAGE-MM-Qwen3-VL-8B-SFT pipeline_tag: video-text-to-text tags: - llama-cpp - gguf-my-repo --- # introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF This model was converted to GGUF format from [`allenai/SAGE-MM-Qwen3-VL-8B-SFT`](https://huggingface.co/allenai/SAGE-MM-Qwen3-VL-8B-SFT) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/allenai/SAGE-MM-Qwen3-VL-8B-SFT) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF --hf-file sage-mm-qwen3-vl-8b-sft-q4_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF --hf-file sage-mm-qwen3-vl-8b-sft-q4_0.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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 introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF --hf-file sage-mm-qwen3-vl-8b-sft-q4_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF --hf-file sage-mm-qwen3-vl-8b-sft-q4_0.gguf -c 2048 ```

Source context: 25 downloads · 0 likes · Pipeline video-text-to-text · Repo introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF

Source context: 14 downloads · 0 likes · Pipeline video-text-to-text · Repo introvoyz041/SAGE-MM-Qwen3-VL-8B-SFT-Q4_0-GGUF