--- language: - fr license: cc-by-nc-sa-4.0 tags: - pretrained - conversational - llama-cpp - gguf-my-repo base_model: tiiuae/falcon-7b pipeline_tag: text-generation widget: - text: '- Bonjour Dominique, qu''allez-vous nous cuisiner aujourd''hui ? - Bonjour Camille,' example_title: Request for a recipe group: Dash - text: '[Intervenant 1:] Bonjour Dominique, qu''allez-vous nous cuisiner aujourd''hui ? [Intervenant 2:] Bonjour Camille,' example_title: Request for a recipe group: Intervenant - text: '[Camille:] Bonjour Dominique, qu''allez-vous nous cuisiner aujourd''hui ? [Dominique:] Bonjour Camille,' example_title: Request for a recipe group: FirstName - text: '[Camille Durand:] Bonjour Dominique, qu''allez-vous nous cuisiner aujourd''hui ? [Dominique Petit:] Bonjour Camille,' example_title: Request for a recipe group: Named inference: parameters: temperature: 1.0 max_new_tokens: 200 top_k: 10 --- # LeMoussel/Claire-7B-0.1-Q5_K_M-GGUF This model was converted to GGUF format from [`OpenLLM-France/Claire-7B-0.1`](https://huggingface.co/OpenLLM-France/Claire-7B-0.1) 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/OpenLLM-France/Claire-7B-0.1) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew. ```bash brew install ggerganov/ggerganov/llama.cpp ``` Invoke the llama.cpp server or the CLI. CLI: ```bash llama-cli --hf-repo LeMoussel/Claire-7B-0.1-Q5_K_M-GGUF --model claire-7b-0.1.Q5_K_M.gguf -p "The meaning to life and the universe is" ``` Server: ```bash llama-server --hf-repo LeMoussel/Claire-7B-0.1-Q5_K_M-GGUF --model claire-7b-0.1.Q5_K_M.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. ``` git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m claire-7b-0.1.Q5_K_M.gguf -n 128 ```