metadata

license: apache-2.0
language:
  - en
  - fr
  - it
  - de
  - es
base_model: PleIAs/Pleias-RAG-1B
pipeline_tag: text-generation
library_name: mlx
tags:
  - mlx

mlx-community/Pleias-RAG-1B-6-bit

This model mlx-community/Pleias-RAG-1B-6-bit was converted to MLX format from PleIAs/Pleias-RAG-1B using mlx-lm version 0.23.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Pleias-RAG-1B-6-bit")

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)