You can deploy this model and start earning money today!

Trillim/
Bonsai-Image-4BT-TRNQ

Name: Bonsai-Image-4BT-TRNQ
Availability: InStock

prism-ml/bonsai-image-ternary-4B-unpacked

finetune

apache-2.0

Views

No views yet

Bonsai-Image-4BT-TRNQ

Bonsai-Image-4BT-TRNQ is a Trillim-packaged, requantized build of prism-ml/bonsai-image-ternary-4B-unpacked, intended for efficient text to image generation with the Trillim inference engine.

Overview

Based on Prism ML’s Bonsai-Image-Ternary-4B release
Requantized and packaged for Trillim runtime
Distributed under the upstream Apache 2.0 license with attribution preserved

Model Details

Item	Value
Architecture	Flux.2-klein-4B
Parameters	4B class
Source model	`prism-ml/bonsai-image-ternary-4B-unpacked`
Packaging	Trillim requantized bundle
License	Apache 2.0

Usage

bash

pip install trillim
trillim pull Trillim/Bonsai-Image-4BT-TRNQ
trillim image Trillim/Bonsai-Image-4BT-TRNQ "a tiny bonsai on a desk" -o bonsai.png

This generates an image of a bonsai on a desk and stores it in bonsai.png.

Repository Contents

File	Description
`qmodel.tensors`	Quantized weights in Trillim format
`rope.cache`	Precomputed RoPE cache for runtime
`config.json`	Model configuration
`generation_config.json`	Generation defaults
`trillim_config.json`	Trillim runtime metadata

Provenance

This repository is derived from:

prism-ml/bonsai-image-ternary-4B-unpacked
Flux.2-klein-4B by Black Forest Labs

Changes made by Trillim:

Requantized from the upstream release
Repackaged for the Trillim inference engine

This repository is not affiliated with or endorsed by Prism ML or Black Forest Labs.

License

Released under the Apache 2.0 License, consistent with the upstream model license.

See:

LICENSE
NOTICE.txt