Vela-1.0-Encoder-307M-Modality-CoreAI β Apple Core AI
A Core AI (.aimodel) build of vllm-sr/Vela-1.0-Encoder-307M-Modality for on-device inference on Apple Silicon.
Architecture: ModernBertForSequenceClassification. Upstream ships PyTorch and no Core AI build.
Verified equivalence
The exported graph and the repository's own PyTorch loader were run on identical inputs and the raw outputs diffed:
| measure | value |
|---|---|
| worst absolute difference | 6.676e-05 |
| output magnitude | 14.02 |
| relative | 4.76e-06 |
| minimum cosine | 1.0000000000 |
Arithmetic equivalence only β no quality benchmark here: no F1, no accuracy score, and no claim against upstream's published numbers. The probes are the converter's default set; they exercise the graph rather than demonstrating the model doing its job.
Built by
ahmedandaloes β Apple Silicon builds (Core AI, MLX, GGUF) for models that ship none, each machine-checked against its own reference. ahmedandaloes.com
Model tree for ahmedandaloes/Vela-1.0-Encoder-307M-Modality-CoreAI
Base model
jhu-clsp/mmBERT-base Finetuned
vllm-sr/Vela-1.0-Encoder-307M Finetuned
vllm-sr/Vela-1.0-Encoder-307M-Modality