gemma-4
Collection
in mxfp4, mxfp8, and Deckard(qx) • 28 items • Updated • 2
Image-Text-to-Text
MLX
Safetensors
gemma4
nightmedia
gemma
google
mxfp8
conversational
8-bit precision
How to use from
PiConfigure the model in Pi
# Install Pi:
npm install -g @mariozechner/pi-coding-agent# Add to ~/.pi/agent/models.json:
{
"providers": {
"mlx-lm": {
"baseUrl": "http://localhost:8080/v1",
"api": "openai-completions",
"apiKey": "none",
"models": [
{
"id": "nightmedia/gemma-4-26B-A4B-cosine-slerp-mxfp8-mlx"
}
]
}
}
}Run Pi
# Start Pi in your project directory:
piQuick Links
gemma-4-26B-A4B-cosine-slerp-mxfp8-mlx
Brainwaves
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.488,0.652,0.868,0.588,0.398,0.733,0.642
qx86-hi 0.491,0.649,0.871,0.578,0.394,0.723,0.629
qx64-hi 0.496,0.662,0.866,0.578,0.404,0.726,0.642
mxfp4 0.507,0.675,0.855,0.586,0.376,0.718,0.639
Baseline model
arc arc/e boolq hswag obkqa piqa wino
gemma-4-26B-A4B-it
mxfp8 0.454,0.598,0.871,0.582,0.394,0.723,0.645
qx86-hi 0.472,0.605,0.873,0.565,0.386,0.712,0.644
qx64-hi 0.472,0.621,0.866,0.564,0.382,0.717,0.637
mxfp4 0.462,0.596,0.855,0.578,0.378,0.723,0.637
See parent model for instructions on install and use with Transformers.
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Model size
8B params
Tensor type
U8
·
U32 ·
BF16 ·
Hardware compatibility
Log In to add your hardware
8-bit
Model tree for nightmedia/gemma-4-26B-A4B-cosine-slerp-mxfp8-mlx
Base model
aixsatoshi/gemma-4-26b-a4b-cosine-slerp
Start the MLX server
# Install MLX LM: uv tool install mlx-lm# Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/gemma-4-26B-A4B-cosine-slerp-mxfp8-mlx"