metadata

license: llama3.1
datasets:
  - TheFinAI/Fino1_Reasoning_Path_FinQA
language:
  - en
base_model: TheFinAI/Fino1-8B
pipeline_tag: text-generation
tags:
  - mlx

alexgusevski/Fino1-8B-mlx

The Model alexgusevski/Fino1-8B-mlx was converted to MLX format from TheFinAI/Fino1-8B using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Fino1-8B-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)