spoomplesmaxx-27b-4500 is a continued pretraining (CPT) of Google's Gemma 3 27B PT, trained for 4,500 steps on text data using
Unsloth
. The SigLIP vision encoder is preserved from the original Gemma 3 architecture — the model retains multimodal (text + image) capability. See the
base model card
for full training details.
python -m mlx_vlm.generate \
--model aimeri/spoomplesmaxx-27b-4500-mlx-4bit \
--prompt "Once upon a time" \
--max-tokens 200
Python:
from mlx_vlm import load, generate
model, processor = load("aimeri/spoomplesmaxx-27b-4500-mlx-4bit")
output = generate(model, processor, prompt="Describe this image.", image="path/to/image.jpg", max_tokens=200)
print(output)
Runs of aimeri spoomplesmaxx-27b-4500-mlx-4bit on huggingface.co
7
Total runs
2
24-hour runs
4
3-day runs
4
7-day runs
0
30-day runs
More Information About spoomplesmaxx-27b-4500-mlx-4bit huggingface.co Model
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