metadata
library_name: transformers
license: apache-2.0
language:
- en
- fr
- es
- it
- pt
- zh
- ar
- ru
tags:
- mlx
- mlx
- mlx-my-repo
base_model: lmstudio-community/SmolLM3-3B-MLX-8bit
introvoyz041/SmolLM3-3B-MLX-8bit-mlx-8Bit
The Model introvoyz041/SmolLM3-3B-MLX-8bit-mlx-8Bit was converted to MLX format from lmstudio-community/SmolLM3-3B-MLX-8bit using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/SmolLM3-3B-MLX-8bit-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)