README.md

metadata

base_model: Tesslate/UIGEN-T2-7B
tags:
  - text-generation-inference
  - transformers
  - qwen2
  - ui-generation
  - peft
  - lora
  - tailwind-css
  - html
  - mlx
  - mlx-my-repo
license: apache-2.0
language:
  - en

cnfusion/UIGEN-T2-7B-mlx-8Bit

The Model cnfusion/UIGEN-T2-7B-mlx-8Bit was converted to MLX format from Tesslate/UIGEN-T2-7B using mlx-lm version 0.22.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("cnfusion/UIGEN-T2-7B-mlx-8Bit")

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)