A compact 126M language model built with MEGA rather than a standard transformer stack.
←
Model Card Embed
Give your model card an architecture graph in 10 seconds.
Paste your model ID → copy HTML
→ paste into README.md.
A larger, modern Constellation-One variant fine-tuned from ModernBERT-large.
A Gemma 4 E2B based conversational model tuned toward a more direct, personal voice.
A DistilRoBERTa-based OME v5.2 emotion classifier for English text, fine-tuned over 26 categories and reporting 98.03 percent eval accuracy.
Granularity on card
Block
HTML
Preview
MODEL PAGES WITH HFVIEWER
Community showcase.
Hugging Face authors are already adding hfviewer architecture cards directly to their READMEs.
An experimental SpikeWhale base language model for compact text generation, using custom Transformers code with MLA, JEPA-inspired design, and two-expert routing.
A companion SpikeWhale base model for small text-generation experiments.
A BrtGPT conversational text-generation checkpoint trained on LaMini-instruction, with code and math evaluations highlighted in the model card.
A physics-guided ultrasound segmentation suite covering UNet, UNet++, SegFormer, SwinUnet, TransUNet, and style-adaptation checkpoints.
A compact CALI causal language model with custom blocks and evaluation-tracker coverage across ARC, HellaSwag, MMLU, TruthfulQA, and WinoGrande.
An 80M MiniGPT-style causal language model using the Qwen2.5 tokenizer, 12 decoder blocks, causal attention, and a tied language-model head.
A 125M custom GPT-X2 language model with RoPE, SwiGLU, grouped-query attention, and curriculum-trained code/math normalization.
A compact 5M GPT-S language model using RoPE, SwiGLU, grouped-query attention, and exclusive shared attention for small-model reasoning experiments.
A MIT-licensed Ettin encoder fine-tuned for PII token classification on Nemotron-PII, reporting 96.27 F1 on the test split.
A compact 126M language model built with MEGA rather than a standard transformer stack, with a 4096-token context length.
A larger, more modern Constellation-One variant for Cockatoo, fine-tuned from answerdotai/ModernBERT-large.
A BERT based OME v5 classifier for English emotion examples, fine-tuned over 26 categories and reporting 98.63 percent accuracy on eval.
A LoRA fine-tune of ModernBERT-base for binary classification, designed for high recall with controlled false positives.
A Gemma 4 E2B based conversational model tuned toward a more direct, personal voice rather than a generic assistant cadence.