Flui3d Chat Model Gemma 3 Base

Model Description

This model is a Fine-tuned version of Gemma 3 designed for microfluidic chip design generation. The model translates high-level design requirements into structured microfluidic system descriptions.

The model generates outputs in a structured JSON format following a predefined schema (see: Output Format). The generated JSON describes a complete microfluidic chip, including:

microfluidic components
component parameters
channel connections
structural relationships between elements

This allows the model to act as a design file generator for microfluidic systems, enabling automated or AI-assisted microfluidic chip design workflows.

The repository includes:

LoRA Adapter weights

Intended Use

This model is intended for:

Automated microfluidic chip design generation
AI-assisted CAD workflows for microfluidics
Research in AI-assisted scientific design
Programmatic generation of microfluidic device specifications

The model converts natural language design requirements into structured microfluidic design specifications.

Example Applications

Rapid prototyping of microfluidic devices
Automated generation of chip layouts
Integration with microfluidic CAD pipelines
AI-driven design exploration

Model Architecture

Base Model: Gemma 3 27B Instruct
Fine-tuning Method: SFT LoRA
Reasoning Strategy: None
Output Format: Structured JSON

The model is trained to produce schema-compliant structured outputs representing microfluidic chip configurations.

Output Format

The model generates JSON objects conforming to a predefined schema.

Schema definition:

https://github.com/TUM-EDA/Flui3d-Chat/blob/master/Dataset%20and%20Training%20Framework/datasets/resources/json_schemas/microfluidic_schema.json

The JSON output typically includes:

Component definitions
Channel connections
Parameterized microfluidic elements
Junction definitions

Example Output

{
  "connections": [
    {
      "source": "inlet_1",
      "target": "mixer_1"
    },
    {
      "source": "inlet_2",
      "target": "mixer_1"
    },
    {
      "source": "mixer_1",
      "target": "outlet_1"
    }
  ],
  "junctions": [
    {
      "id": "junction_1",
      "type": "T-junction",
      "source_1": "inlet_1",
      "source_2": "inlet_2",
      "target": "mixer_1"
    }
  ],
  "component_params": {
    "mixers": [
      {
        "id": "mixer_1",
        "num_turnings": 4
      }
    ],
    "delays": [],
    "chambers": [],
    "filters": []
  }

Repository Contents

This repository includes:

1. LoRA Adapter

The LoRA adapter can be loaded on top of the base Gemma model for inference or further fine-tuning.

Merging Split GGUF Files

To merge the split GGUF files, use the merging utilities from llama.cpp:

https://github.com/ggml-org/llama.cpp/blob/master/tools/gguf-split/README.md

Usage with Ollama

The LoRA adapter file can be used with:

Ollama

Example prompt:

Design a microfluidic chip with two inlets, one mixer, and a single outlet.

Limitations

The model assumes valid schema-based output format and may produce invalid JSON if prompts are poorly structured.
Generated designs should be validated before fabrication.
The model does not replace domain expert verification.