reaperdoesntknow/DNA-50M

1---2library_name: transformers3tags:4- convergentintel5---6 7# Model Card for Model ID8 9<!-- Provide a quick summary of what the model is/does. -->10 11 12 13## Model Details14 15### Model Description16 17<!-- Provide a longer summary of what this model is. -->18 19This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.20 21- **Developed by:** [More Information Needed]22- **Funded by [optional]:** [More Information Needed]23- **Shared by [optional]:** [More Information Needed]24- **Model type:** [More Information Needed]25- **Language(s) (NLP):** [More Information Needed]26- **License:** [More Information Needed]27- **Finetuned from model [optional]:** [More Information Needed]28 29### Model Sources [optional]30 31<!-- Provide the basic links for the model. -->32 33- **Repository:** [More Information Needed]34- **Paper [optional]:** [More Information Needed]35- **Demo [optional]:** [More Information Needed]36 37## Uses38 39<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->40 41### Direct Use42 43<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->44 45[More Information Needed]46 47### Downstream Use [optional]48 49<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->50 51[More Information Needed]52 53### Out-of-Scope Use54 55<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->56 57[More Information Needed]58 59## Bias, Risks, and Limitations60 61<!-- This section is meant to convey both technical and sociotechnical limitations. -->62 63[More Information Needed]64 65### Recommendations66 67<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->68 69Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.70 71## How to Get Started with the Model72 73Use the code below to get started with the model.74 75[More Information Needed]76 77## Training Details78 79### Training Data80 81<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->82 83[More Information Needed]84 85### Training Procedure86 87<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->88 89#### Preprocessing [optional]90 91[More Information Needed]92 93 94#### Training Hyperparameters95 96- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->97 98#### Speeds, Sizes, Times [optional]99 100<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->101 102[More Information Needed]103 104## Evaluation105 106<!-- This section describes the evaluation protocols and provides the results. -->107 108### Testing Data, Factors & Metrics109 110#### Testing Data111 112<!-- This should link to a Dataset Card if possible. -->113 114[More Information Needed]115 116#### Factors117 118<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->119 120[More Information Needed]121 122#### Metrics123 124<!-- These are the evaluation metrics being used, ideally with a description of why. -->125 126[More Information Needed]127 128### Results129 130[More Information Needed]131 132#### Summary133 134 135 136## Model Examination [optional]137 138<!-- Relevant interpretability work for the model goes here -->139 140[More Information Needed]141 142## Environmental Impact143 144<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->145 146Carbon 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).147 148- **Hardware Type:** [More Information Needed]149- **Hours used:** [More Information Needed]150- **Cloud Provider:** [More Information Needed]151- **Compute Region:** [More Information Needed]152- **Carbon Emitted:** [More Information Needed]153 154## Technical Specifications [optional]155 156### Model Architecture and Objective157 158[More Information Needed]159 160### Compute Infrastructure161 162[More Information Needed]163 164#### Hardware165 166[More Information Needed]167 168#### Software169 170[More Information Needed]171 172## Discrepancy Calculus Foundation173 174This model is part of the [Convergent Intelligence LLC: Research Division](https://huggingface.co/reaperdoesntknow) portfolio. All models in this portfolio are developed under the Discrepancy Calculus (DISC) framework — a measure-theoretic approach to understanding and controlling the gap between what a model *should* produce and what it *actually* produces.175 176DISC treats training singularities (loss plateaus, mode collapse, catastrophic forgetting) not as failures to be smoothed over, but as **structural signals** that reveal the geometry of the learning problem. Key concepts:177 178- **Discrepancy Operator (D):** Measures the gap between expected and observed behavior at each training step179- **Jump Sets:** Boundaries where model behavior changes discontinuously — these are *features*, not bugs180- **Ghost Imprinting:** Teacher knowledge that transfers to student models through weight-space topology rather than explicit distillation signal181 182For the full mathematical treatment, see [Discrepancy Calculus: Foundations and Core Theory](https://huggingface.co/reaperdoesntknow/Discrepancy_Calculus) (DOI: 10.57967/hf/8194).183 184**Citation chain:** [Structure Over Scale](https://huggingface.co/reaperdoesntknow/Structure-Over-Scale) (DOI: 10.57967/hf/8165) → [Three Teachers to Dual Cognition](https://huggingface.co/reaperdoesntknow/DualMind_Methodolgy) (DOI: 10.57967/hf/8184) → [Discrepancy Calculus](https://huggingface.co/reaperdoesntknow/Discrepancy_Calculus) (DOI: 10.57967/hf/8194)185 186## Citation [optional]187 188<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->189 190**BibTeX:**191 192[More Information Needed]193 194**APA:**195 196[More Information Needed]197 198## Glossary [optional]199 200<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->201 202[More Information Needed]203 204## More Information [optional]205 206[More Information Needed]207 208## Model Card Authors [optional]209 210[More Information Needed]211 212## Model Card Contact213 214[More Information Needed]215 216---217 218## Convergent Intelligence Portfolio219 220*By [Convergent Intelligence LLC: Research Division](https://huggingface.co/reaperdoesntknow)*221 222 223### Top Models from Our Lab224 225| Model | Downloads |226|-------|-----------|227| [Qwen3-1.7B-Thinking-Distil](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Thinking-Distil) | 501 |228| [LFM2.5-1.2B-Distilled-SFT](https://huggingface.co/reaperdoesntknow/LFM2.5-1.2B-Distilled-SFT) | 342 |229| [Qwen3-1.7B-Coder-Distilled-SFT](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT) | 302 |230| [Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF](https://huggingface.co/reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF) | 203 |231| [Qwen3-1.7B-Coder-Distilled-SFT-GGUF](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT-GGUF) | 194 |232 233**Total Portfolio: 41 models | 2,781 total downloads**234 235 236*Last updated: 2026-03-28 12:58 UTC*237 238<!-- CIX-CROSSLINK-START -->239 240---241 242## From the Convergent Intelligence Portfolio243 244**[DistilQwen Collection](https://huggingface.co/collections/reaperdoesntknow/distilqwen-69bf40ec669117e3f069ef1c)** — Our only BF16 series. Proof-weighted distillation from Qwen3-30B-A3B → 1.7B and 0.6B on H100. Three teacher variants (Instruct, Thinking, Coder), nine models, 2,788 combined downloads. The rest of the portfolio proves structure beats scale on CPU. This collection shows what happens when you give the methodology real hardware.245 246Top model: [Qwen3-1.7B-Coder-Distilled-SFT](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT) — 508 downloads247 248Full methodology: [Structure Over Scale (DOI: 10.57967/hf/8165)](https://doi.org/10.57967/hf/8165)249 250*Convergent Intelligence LLC: Research Division*251 252<!-- CIX-CROSSLINK-END -->253<!-- cix-keeper-ts:2026-09-25T13:15:11Z -->254