metadata

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
    max_new_tokens: 200
    top_k: 10

EZPK/Claire-Mistral-7B-0.1-Q4_K_M-GGUF

This model was converted to GGUF format from OpenLLM-France/Claire-Mistral-7B-0.1 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo EZPK/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:

llama-server --hf-repo EZPK/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 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