aimeri / spoomplesmaxx-27b-4500-mlx-4bit

huggingface.co
Total runs: 7
24-hour runs: 2
7-day runs: 4
30-day runs: 0
Model's Last Updated: April 06 2026
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Introduction of spoomplesmaxx-27b-4500-mlx-4bit

Model Details of spoomplesmaxx-27b-4500-mlx-4bit

spoomplesmaxx-27b-4500-mlx-4bit

MLX 4-bit quantized version of aimeri/spoomplesmaxx-27b-4500 , converted with mlx-vlm .

About the base model

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.

Quantization details
Parameter Value
Bits 4
Group size 64
Mode Affine
Usage
pip install -U mlx-vlm

Text + image:

python -m mlx_vlm.generate \
    --model aimeri/spoomplesmaxx-27b-4500-mlx-4bit \
    --prompt "Describe this image." \
    --image path/to/image.jpg \
    --max-tokens 200

Text only:

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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spoomplesmaxx-27b-4500-mlx-4bit install

spoomplesmaxx-27b-4500-mlx-4bit is an open source model from GitHub that offers a free installation service, and any user can find spoomplesmaxx-27b-4500-mlx-4bit on GitHub to install. At the same time, huggingface.co provides the effect of spoomplesmaxx-27b-4500-mlx-4bit install, users can directly use spoomplesmaxx-27b-4500-mlx-4bit installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Url of spoomplesmaxx-27b-4500-mlx-4bit

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