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--- |
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language: |
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- fr |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- pretrained |
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- conversational |
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- llama-cpp |
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- gguf-my-repo |
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base_model: mistralai/Mistral-7B-v0.1 |
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pipeline_tag: text-generation |
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widget: |
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- text: '- Bonjour Dominique, qu''allez-vous nous cuisiner aujourd''hui ? |
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- Bonjour Camille,' |
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example_title: Request for a recipe |
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group: Dash |
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- text: '[Intervenant 1:] Bonjour Dominique, qu''allez-vous nous cuisiner aujourd''hui |
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? |
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[Intervenant 2:] Bonjour Camille,' |
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example_title: Request for a recipe |
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group: Intervenant |
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- text: '[Camille:] Bonjour Dominique, qu''allez-vous nous cuisiner aujourd''hui ? |
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[Dominique:] Bonjour Camille,' |
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example_title: Request for a recipe |
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group: FirstName |
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- text: '[Camille Durand:] Bonjour Dominique, qu''allez-vous nous cuisiner aujourd''hui |
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? |
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[Dominique Petit:] Bonjour Camille,' |
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example_title: Request for a recipe |
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group: Named |
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inference: |
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parameters: |
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temperature: 1.0 |
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max_new_tokens: 200 |
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top_k: 10 |
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--- |
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# LeMoussel/Claire-Mistral-7B-0.1-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`OpenLLM-France/Claire-Mistral-7B-0.1`](https://huggingface.co/OpenLLM-France/Claire-Mistral-7B-0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/OpenLLM-France/Claire-Mistral-7B-0.1) for more details on the model. |
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## Use with llama.cpp |
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Install llama.cpp through brew. |
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```bash |
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brew install ggerganov/ggerganov/llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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CLI: |
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```bash |
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llama-cli --hf-repo LeMoussel/Claire-Mistral-7B-0.1-Q4_K_M-GGUF --model claire-mistral-7b-0.1.Q4_K_M.gguf -p "The meaning to life and the universe is" |
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``` |
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Server: |
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```bash |
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llama-server --hf-repo LeMoussel/Claire-Mistral-7B-0.1-Q4_K_M-GGUF --model claire-mistral-7b-0.1.Q4_K_M.gguf -c 2048 |
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``` |
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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. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m claire-mistral-7b-0.1.Q4_K_M.gguf -n 128 |
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``` |
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