Modelpublic

atjsh/llmlingua-2-js-tinybert-meetingbank-onnx-v4

sourceHugging Faceunknownupdated 1mo agoView on Hugging Face

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Model Card

TinyBERT MeetingBank — ONNX v4 conversion archive

This repository is a neutral format-conversion archive of `JueZhang/lingua2_tinybert_meetingbank_only` at source revision 8b4a18ddae06f94c3e022b01b3beb994f75ebe76.

The source model card does not declare a license, so this repository records license: unknown and does not add license permissions.

Conversion provenance

—Official converter: `onnx-community/convert-to-onnx` at af0ef3070cef5e863b371628ad3dcdc10de4d091
—Export: optimum-cli export onnx --model <pinned-local-source> --task token-classification <output-directory>
—Variant generation: the pinned converter's ModelConverter._apply_quantizations
—Resolved environment: `provenance/environment.txt`
—Recorded commands and source-staging disclosure: `provenance/commands.txt`
—Converter source and requirements: `provenance/converter/`
—Complete export and variant logs: `provenance/logs/`

The source model.safetensors was 57,020,992 bytes with SHA-256 570887f3c4f4d3b614ced54536ed92ecc2fb423240dc73bd5c0fcb16e4592ee4. All source-file hashes are in `provenance/source.json`. The pinned source also contains a redundant state_dict.pth; its hash is recorded there, while the export selected model.safetensors.

Emitted ONNX files

Every row below was emitted by a successful pinned converter invocation.

dtype	filename	bytes	SHA-256
fp32	`onnx/model.onnx`	57,089,382	`1b908113de6195f4135b523011408e3148c518924788bc4af91a5a8c02ad80ec`
fp16	`onnx/model_fp16.onnx`	28,611,889	`9630e4bd8fab7b731ef231a054b47237b4210045ed7613f30d7f75e7249db08b`
int8	`onnx/model_int8.onnx`	14,442,494	`ae5f70d00e6f8fbe7b8a7568856d274c8a9e1937bf81aed01d31547f25685371`
uint8	`onnx/model_uint8.onnx`	14,442,511	`ea0bdb1f2b3b231e8ecf2948d943753f3cd47d9c9f6c14e6b7f66d432332bbb5`
q8	`onnx/model_quantized.onnx`	14,442,494	`ae5f70d00e6f8fbe7b8a7568856d274c8a9e1937bf81aed01d31547f25685371`
q4	`onnx/model_q4.onnx`	41,787,056	`212ec76421f37a6f52ea2aa20c2b529582dd5e222d4f0d956e8a6df144765a05`
q4f16	`onnx/model_q4f16.onnx`	22,121,420	`677c2f05267b8cc1a9b38f80ffaae7dd354a46d525b0a39f45ec6f83bb893016`
bnb4	`onnx/model_bnb4.onnx`	41,787,056	`212ec76421f37a6f52ea2aa20c2b529582dd5e222d4f0d956e8a6df144765a05`

Observed runtime result

An ONNX Runtime 1.28.0 CPU smoke on Apple M4 loaded fp32, int8, uint8, q8, q4, and bnb4. Each returned finite [1, 14, 2] logits and repeated exactly three times. fp16 and q4f16 failed to load because a converted float16 output did not match an expected float tensor type. Exact timings and errors are in `measurements/runtime-cpu.json`.

These observations are measurements only. The files are published because the pinned official converter emitted them successfully.

Integrity

`manifest.json` and `SHA256SUMS` record the published file inventory. Conversion logs include all converter warnings.

Recorded demo Pareto selection

The static demo dtype selection produced by the recorded formula is bnb4 for WebGPU and uint8 for WASM. This is a product-selection record, not a qualification, recommendation, commercial-suitability statement, or backend-support claim.

Inputs, raw measurements, the exact harness, and the concise selector output are under `measurements/pareto/`. The measured model bytes came from repository revision 914542f15dfe5b24b8190f7f921cdf5254008647.