| --- |
| license: apache-2.0 |
| base_model: fastino/gliner2-multi-v1 |
| library_name: transformers.js |
| tags: |
| - gliner2 |
| - foxpilot |
| - onnx |
| - token-classification |
| --- |
| |
| # foxmind |
|
|
| foxmind is the on-device decision model of [foxpilot](https://github.com/pooriaarab/foxpilot), a browser agent for Firefox. It is an ONNX export of the agent graph of GLiNER2 multi-v1, with a batch axis. |
|
|
| Base model: [`fastino/gliner2-multi-v1`](https://huggingface.co/fastino/gliner2-multi-v1) (Apache-2.0), by [Fastino](https://fastino.ai). |
|
|
| It is the same single-graph export as [`onnx-community/gliner2-multi-v1-agent-ONNX`](https://huggingface.co/onnx-community/gliner2-multi-v1-agent-ONNX), with one change: every input and output has a batch axis. |
|
|
| | Name | Shape | |
| | --- | --- | |
| | `input_ids`, `attention_mask` | `[batch, seq]` | |
| | `word_positions` | `[batch, words]` | |
| | `schema_positions` | `[batch, schema]` | |
| | `cls_logits` | `[batch, schema - 1]` | |
| | `count_logits` | `[batch, 20]` | |
| | `span_logits` | `[batch, schema - 1, words, 8]` | |
|
|
| At batch 1 it behaves like the original export. Pad shorter rows with 0 and set their mask to 0. |
|
|
| ## Files |
|
|
| - `onnx/model.onnx` + `model.onnx_data`: fp32 |
| - `onnx/model_fp16.onnx` + `model_fp16.onnx_data`: fp16 |
|
|
| ## Accuracy |
|
|
| `export/verify_onnx.py` in the foxpilot repository checks this export. In fp32, 14 reference calls match the Python library, and each padded batch row matches its single call within 8.0e-6 on label and span scores. |
|
|
| ## Speed |
|
|
| Firefox 157, WebGPU, fp32: one call with 4 prompts takes 517 ms, against 1,242 ms for 4 single calls (2.4x). |
|
|
| ## License |
|
|
| Apache-2.0, the license of the base model. Export scripts: [pooriaarab/foxpilot](https://github.com/pooriaarab/foxpilot) (MIT). |
|
|
