README.md

metadata

license: apache-2.0
pipeline_tag: text-generation
language:
  - fr
  - en
tags:
  - pretrained
  - llama-3
  - openllm-france
  - mlx
datasets:
  - cmh/alpaca_data_cleaned_fr_52k
  - OpenLLM-France/Croissant-Aligned-Instruct
  - Gael540/dataSet_ens_sup_fr-v1
  - ai2-adapt-dev/flan_v2_converted
  - teknium/OpenHermes-2.5
  - allenai/tulu-3-sft-personas-math
  - allenai/tulu-3-sft-personas-math-grade
  - allenai/WildChat-1M
base_model: OpenLLM-France/Lucie-7B-Instruct-v1.1
widget:
  - text: |-
      Quelle est la capitale de l'Espagne ? Madrid.
      Quelle est la capitale de la France ?
    example_title: Capital cities in French
    group: 1-shot Question Answering
training_progress:
  context_length: 32000

alexgusevski/Lucie-7B-Instruct-v1.1-q4-mlx

The Model alexgusevski/Lucie-7B-Instruct-v1.1-q4-mlx was converted to MLX format from OpenLLM-France/Lucie-7B-Instruct-v1.1 using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Lucie-7B-Instruct-v1.1-q4-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)