--- base_model: Qwen/Qwen3-VL-8B language: en library_name: mlx license: apache-2.0 pipeline_tag: text-generation tags: - mlx - apple-silicon - qlora - gftd - qwen3-vl - knowledge-distillation - landauer - information-is-physical - reversible-computation - thermodynamics --- # Model Card for Model ID ## 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) ```python 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 - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** en - **License:** apache-2.0 - **Finetuned from model [optional]:** Qwen/Qwen3-VL-8B ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### 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. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]