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)
- Downloads last month
- -
Model size
68.2M params
Tensor type
F16
·
U32
·
Hardware compatibility
Log In
to add your hardware
4-bit
Model tree for slightfx/model-mlx
Base model
google/gemma-3-270m
Finetuned
google/gemma-3-270m-it
Finetuned
unsloth/gemma-3-270m-it
Finetuned
slightfx/model