Ministral 3 8B Uncensored Q5 K S GGUF

--- license: apache-2.0 language: - en pipeline_tag: image-to-text tags: - vision-language - image-captioning - multimodal - fp32 - bf16 - fp16 - transformers - llama-cpp - gguf-my-repo library_name: transformers base_model: Felldude/Ministral-3-8B-Uncensored --- # torchsnow/Ministral-3-8B-Uncensored-Q5_K_S-GGUF This model was converted to GGUF format from [`Felldude/Ministral-3-8B-Uncensored`](https://huggingface.co/Felldude/Ministral-3-8B-Uncensored) 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/Felldude/Ministral-3-8B-Uncensored) 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 torchsnow/Ministral-3-8B-Uncensored-Q5_K_S-GGUF --hf-file ministral-3-8b-uncensored-q5_k_s.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo torchsnow/Ministral-3-8B-Uncensored-Q5_K_S-GGUF --hf-file ministral-3-8b-uncensored-q5_k_s.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 torchsnow/Ministral-3-8B-Uncensored-Q5_K_S-GGUF --hf-file ministral-3-8b-uncensored-q5_k_s.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo torchsnow/Ministral-3-8B-Uncensored-Q5_K_S-GGUF --hf-file ministral-3-8b-uncensored-q5_k_s.gguf -c 2048 ```

Source context: 808 downloads · 2 likes · Pipeline image-to-text · Library transformers · Repo torchsnow/Ministral-3-8B-Uncensored-Q5_K_S-GGUF

Source context: 366 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo torchsnow/Ministral-3-8B-Uncensored-Q5_K_S-GGUF