metadata

license: apache-2.0
datasets:
  - seeklhy/SynSQL-2.5M
language:
  - en
tags:
  - Text-to-SQL
  - SQL
  - NL2SQL
  - Text2SQL
  - mlx
library_name: mlx
base_model: seeklhy/OmniSQL-7B
pipeline_tag: text-generation

sazak/OmniSQL-7B-4bit-mlx

This model sazak/OmniSQL-7B-4bit-mlx was converted to MLX format from seeklhy/OmniSQL-7B using mlx-lm version 0.26.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("sazak/OmniSQL-7B-4bit-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)