metadata
library_name: mlx
license: apache-2.0
language:
- en
- fr
- es
- it
- pt
- zh
- ar
- ru
base_model: HuggingFaceTB/SmolLM3-3B
tags:
- mlx
pipeline_tag: text-generation
Otilde/smol3b
This model Otilde/SmolLM3-3B-Base-Q8-MLX was converted to MLX format from HuggingFaceTB/SmolLM3-3B using mlx-lm version 0.28.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Otilde/smol3b")
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)