gftd/landauer-260213

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Model Details

Model Description

gftd/landauer-260213

Landauer Information-Physical Model - A model informed by Rolf Landauer's philosophy: information is physical, computation has thermodynamic costs, reversible operations are efficient, and every architectural decision is an energy allocation decision.

Philosophy: Rolf Landauer

Landauer proved that information is physical -- erasing a bit costs energy, computation has thermodynamic limits, and the abstract world of software is ultimately grounded in physics. This model applies Landauer's thinking to software: prefer immutable data (reversible), minimize state erasure (garbage collection, cache invalidation), and reason about the physical cost of every operation.

Training Details

• Framework: Apple MLX (mlx-lm QLoRA)
• Base Model: Qwen/Qwen3-VL-8B
• Teacher: Claude Opus 4.6 (via OpenRouter)
• LoRA Config: rank=64, alpha=128, layers=16, bits=4
• Dataset: 100 samples across 6 categories

Capabilities

• Go/Rust/Svelte/Python code generation
• MCP tool selection and operation (93+ tools)
• 8-step reasoning chains
• Web browser interaction
• Dapr patterns (Actors, Workflows, State, PubSub)
• GFTD Performers API operations

Usage (MLX)

from mlx_lm import load, generate
model, tokenizer = load("gftd/landauer-260213")
response = generate(model, tokenizer, prompt="Write a Go HTTP handler", max_tokens=512)

License

Apache 2.0

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• Language(s) (NLP): en
• License: apache-2.0
• Finetuned from model [optional]: Qwen/Qwen3-VL-8B

Model Sources [optional]

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Uses

Direct Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

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Evaluation

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Results

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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