metadata
license: apache-2.0
datasets:
- TIGER-Lab/VisCode-Multi-679K
base_model: TIGER-Lab/VisCoder2-3B
library_name: transformers
language:
- en
tags:
- code
- mlx
- mlx-my-repo
introvoyz041/VisCoder2-3B-mlx-4Bit
The Model introvoyz041/VisCoder2-3B-mlx-4Bit was converted to MLX format from TIGER-Lab/VisCoder2-3B using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/VisCoder2-3B-mlx-4Bit")
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)