README.md

metadata

language:
  - en
  - fr
  - es
  - pt
tags:
  - falcon3
  - mlx
  - mlx-my-repo
base_model: tiiuae/Falcon3-7B-Instruct
license: other
license_name: falcon-llm-license
license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
library_name: transformers

alexander583/Falcon3-7B-Instruct-Q4-mlx

The Model alexander583/Falcon3-7B-Instruct-Q4-mlx was converted to MLX format from tiiuae/Falcon3-7B-Instruct using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexander583/Falcon3-7B-Instruct-Q4-mlx")

prompt="hello"

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

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