--- inference: false library_name: transformers language: - en - nl - fr - it - pt - ro - es - cs - pl - uk - ru - el - de - da - sv - 'no' - ca - gl - cy - ga - eu - hr - lv - lt - sk - sl - et - fi - hu - sr - bg - ar - fa - ur - tr - mt - he - hi - mr - bn - gu - pa - ta - te - ne - tl - ms - id - vi - jv - km - th - lo - zh - my - ja - ko - am - ha - ig - mg - sn - sw - wo - xh - yo - zu license: cc-by-nc-4.0 extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license) and acknowledge that the information you provide will be collected, used, and shared in accordance with Cohere's [Privacy Policy]( https://cohere.com/privacy). You'll receive email updates about Cohere Labs and Cohere research, events, products and services. You can unsubscribe at any time. extra_gated_fields: Name: text Affiliation: text Country: country I agree to use this model for non-commercial use ONLY: checkbox base_model: CohereLabs/tiny-aya-water tags: - llama-cpp - gguf-my-repo --- # erenyeager-1/tiny-aya-water-Q4_K_S-GGUF This model was converted to GGUF format from [`CohereLabs/tiny-aya-water`](https://huggingface.co/CohereLabs/tiny-aya-water) 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/CohereLabs/tiny-aya-water) 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 erenyeager-1/tiny-aya-water-Q4_K_S-GGUF --hf-file tiny-aya-water-q4_k_s.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo erenyeager-1/tiny-aya-water-Q4_K_S-GGUF --hf-file tiny-aya-water-q4_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 erenyeager-1/tiny-aya-water-Q4_K_S-GGUF --hf-file tiny-aya-water-q4_k_s.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo erenyeager-1/tiny-aya-water-Q4_K_S-GGUF --hf-file tiny-aya-water-q4_k_s.gguf -c 2048 ```