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KAIROS MM Qwen2.5 VL 7B SFT Q4 0 GGUF

This model was converted to GGUF format from prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-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.

TipoOtherModelo baseprithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFTVersãoRevision ad43634Bnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
4,13 GB
Modelo base
prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT
Versão
vRevision ad43634
Atualizado
24 de out. de 2026
Downloads
36
Fonte
Hugging Face

Descrição da fonte

introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF

This model was converted to GGUF format from prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-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/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF --hf-file kairos-mm-qwen2.5-vl-7b-sft-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF --hf-file kairos-mm-qwen2.5-vl-7b-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/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF --hf-file kairos-mm-qwen2.5-vl-7b-sft-q4_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF --hf-file kairos-mm-qwen2.5-vl-7b-sft-q4_0.gguf -c 2048

Fontes

1 fonte
Hugging FacePrimárioVersão ad436344357a5b7f50648adbb7049ca445d0019d
huggingface.co/introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF/tree/ad436344357a5b7f50648adbb7049ca445d0019d

Verificado 24 de out.

Artefatos de modelo

1 artefato

kairos-mm-qwen2.5-vl-7b-sft-q4_0.gguf

gguf · 4,13 GB · SHA-256 e80208c7b243…d00f · Hugging Face

Download file

Trechos de fonte

3 trechos

--- license: apache-2.0 language: - en base_model: prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT pipeline_tag: video-text-to-text library_name: transformers tags: - text-generation-inference - pytorch - agent - reasoning - long-horizon-reasoning - temporal-reasoning - spatial-reasoning - physical-reasoning - common-sense-reasoning - llama-cpp - gguf-my-repo datasets: - allenai/SAGE-MM-SFT-417K - nvidia/Cosmos-Reason1-SFT-Dataset --- # introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF This model was converted to GGUF format from [`prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT`](https://huggingface.co/prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-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/prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-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/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF --hf-file kairos-mm-qwen2.5-vl-7b-sft-q4_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF --hf-file kairos-mm-qwen2.5-vl-7b-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/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF --hf-file kairos-mm-qwen2.5-vl-7b-sft-q4_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF --hf-file kairos-mm-qwen2.5-vl-7b-sft-q4_0.gguf -c 2048 ```

Source context: 36 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF

Source context: 17 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo introvoyz041/KAIROS-MM-Qwen2.5-VL-7B-SFT-Q4_0-GGUF