metadata
base_model: mlx-community/Qwen2.5-Coder-7B-Instruct-4bit
language:
- en
library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
- mlx
Koemhort/Text_To_SQL
This model Koemhort/Text_To_SQL was converted to MLX format from mlx-community/Qwen2.5-Coder-7B-Instruct-4bit using mlx-lm version 0.31.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Koemhort/Text_To_SQL")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)