TimeLens 8B Q4 0 GGUF

--- license: other license_name: bsd-3-clause license_link: https://github.com/TencentARC/TimeLens/blob/main/LICENSE language: - en tags: - video-grounding - temporal-grounding - video-understanding - qwen3-vl - llama-cpp - gguf-my-repo library_name: transformers pipeline_tag: video-text-to-text datasets: - TencentARC/TimeLens-100K - TencentARC/TimeLens-Bench base_model: TencentARC/TimeLens-8B --- # introvoyz041/TimeLens-8B-Q4_0-GGUF This model was converted to GGUF format from [`TencentARC/TimeLens-8B`](https://huggingface.co/TencentARC/TimeLens-8B) 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/TencentARC/TimeLens-8B) 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/TimeLens-8B-Q4_0-GGUF --hf-file timelens-8b-q4_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo introvoyz041/TimeLens-8B-Q4_0-GGUF --hf-file timelens-8b-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/TimeLens-8B-Q4_0-GGUF --hf-file timelens-8b-q4_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo introvoyz041/TimeLens-8B-Q4_0-GGUF --hf-file timelens-8b-q4_0.gguf -c 2048 ```

Source context: 17 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo introvoyz041/TimeLens-8B-Q4_0-GGUF