Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,70 @@
+---
+language:
+- fr
+license: cc-by-nc-sa-4.0
+tags:
+- pretrained
+- conversational
+- llama-cpp
+- gguf-my-repo
+base_model: mistralai/Mistral-7B-v0.1
+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-Mistral-7B-0.1-Q4_K_M-GGUF
+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.
+Refer to the [original model card](https://huggingface.co/OpenLLM-France/Claire-Mistral-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-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"
+```
+
+Server:
+
+```bash
+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
+```
+
+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-mistral-7b-0.1.Q4_K_M.gguf -n 128
+```