metadata
base_model: slightfx/model
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3_text
- mlx
license: apache-2.0
language:
- en
pipeline_tag: text-generation
library_name: mlx
slightfx/model-mlx
This model slightfx/model-mlx was converted to MLX format from slightfx/model using mlx-lm version 0.24.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("slightfx/model-mlx")
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)