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- .gitattributes +2 -0
- README.md +49 -0
- mobiletransformers_manifest.json +205 -0
- optimum/export_report.json +34 -0
- optimum/supported_tasks.json +3 -0
- shared/tokenizer/mobiletransformers_tokenizer_config.json +13 -0
- shared/tokenizer/special_tokens_map.json +37 -0
- shared/tokenizer/tokenizer.json +0 -0
- shared/tokenizer/tokenizer_config.json +65 -0
- shared/tokenizer/vocab.txt +0 -0
- variants/cpu-int4/checksums.json +48 -0
- variants/cpu-int4/embedding/embedding_model.onnx +3 -0
- variants/cpu-int4/embedding/rag_config.json +13 -0
- variants/cpu-int4/embedding/tokenizer/special_tokens_map.json +37 -0
- variants/cpu-int4/embedding/tokenizer/tokenizer.json +0 -0
- variants/cpu-int4/embedding/tokenizer/tokenizer_config.json +65 -0
- variants/cpu-int4/inference/bert.encoder.layer.0.attention.self.query.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.0.attention.self.query.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.0.attention.self.value.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.0.attention.self.value.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.1.attention.self.query.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.1.attention.self.query.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.1.attention.self.value.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.1.attention.self.value.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.2.attention.self.query.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.2.attention.self.query.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.2.attention.self.value.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.2.attention.self.value.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.3.attention.self.query.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.3.attention.self.query.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.3.attention.self.value.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.3.attention.self.value.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.4.attention.self.query.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.4.attention.self.query.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.4.attention.self.value.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.4.attention.self.value.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.5.attention.self.query.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.5.attention.self.query.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/bert.encoder.layer.5.attention.self.value.MatMul.weight.bin +3 -0
- variants/cpu-int4/inference/bert.encoder.layer.5.attention.self.value.MatMul.weight.bin.sha256 +1 -0
- variants/cpu-int4/inference/config.json +25 -0
- variants/cpu-int4/inference/frozen_base.onnx.data +3 -0
- variants/cpu-int4/inference/merger_lora_fpin_fpout.onnx +3 -0
- variants/cpu-int4/inference/model.onnx +3 -0
- variants/cpu-int4/inference/optimum_config.json +17 -0
- variants/cpu-int4/inference/special_tokens_map.json +37 -0
- variants/cpu-int4/inference/tokenizer.json +0 -0
- variants/cpu-int4/inference/tokenizer_config.json +65 -0
- variants/cpu-int4/inference/vocab.txt +0 -0
- variants/cpu-int4/inference/weight_handoff_map.json +652 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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variants/cpu-int4/inference/frozen_base.onnx.data filter=lfs diff=lfs merge=lfs -text
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variants/cpu-int4/train/checkpoint filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: sentence-transformers/all-MiniLM-L6-v2
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library_name: mobiletransformers
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pipeline_tag: text-classification
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tags:
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- mobiletransformers
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- onnx
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- on-device
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- android
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- lora
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- int4
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---
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# sentence-transformers/all-MiniLM-L6-v2 — MobileTransformers package
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On-device (Android) package exported from **sentence-transformers/all-MiniLM-L6-v2** with MobileTransformers.
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## What this package can do
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- `core` — shared files every other group needs
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- `inference` — generate or score on device
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- `train` — **fine-tune on device**, then merge the adapter back into the base weights
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- `rag` — retrieve over documents you ingest, and ground answers in them
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## Fine-tuning method
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- **lora** — LoRA — low-rank adapters on the attention projections.
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- Rank: `8`
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- Adapted modules: `query`, `value`
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## Provenance
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- Base model: `sentence-transformers/all-MiniLM-L6-v2`
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- Selected task: `text-classification`
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- Quantization: int4
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- Toolchain: optimum-onnx 0.1.0, transformers 4.57.6, ort-training 1.23.0+cpu
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## Licenses
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- Framework: not declared in this package — see the repository
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- Base model weights: see the base model above (this package redistributes an export of those weights, so their terms govern its contents)
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## Android runtime
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- Minimum API: 28
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- Required ABIs: any
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## Variants
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| id | EP | quant | engines | features | min API | rec. RAM (MB) |
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| --- | --- | --- | --- | --- | --- | --- |
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| cpu-int4 | cpu | int4 | native | core, inference, train, rag | 28 | — |
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Default variant: `cpu-int4`.
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mobiletransformers_manifest.json
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{
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"androidRuntime": {
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"minimumAndroidApi": 28,
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"recommendedDeviceMemoryMb": null,
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"requiredAbis": []
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},
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"architectures": [
|
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"bert"
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],
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"artifactFormatVersion": 1,
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"baseModelId": "sentence-transformers/all-MiniLM-L6-v2",
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| 12 |
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"defaultVariant": "cpu-int4",
|
| 13 |
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"downloadPlan": {
|
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"cpu-int4": {
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"checksums": [
|
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"variants/cpu-int4/checksums.json"
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],
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"core": [
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"mobiletransformers_manifest.json",
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"shared/tokenizer/**",
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"shared/chat_template.jinja",
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"shared/config.json",
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"shared/generation_config.json"
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],
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"genai": [],
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| 26 |
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"inference": [
|
| 27 |
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"variants/cpu-int4/inference/**"
|
| 28 |
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],
|
| 29 |
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"rag": [
|
| 30 |
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"variants/cpu-int4/embedding/**"
|
| 31 |
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],
|
| 32 |
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"train": [
|
| 33 |
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"variants/cpu-int4/train/**"
|
| 34 |
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]
|
| 35 |
+
}
|
| 36 |
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},
|
| 37 |
+
"exportedAt": "",
|
| 38 |
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"fileSizes": {
|
| 39 |
+
"optimum/export_report.json": 758,
|
| 40 |
+
"optimum/supported_tasks.json": 28,
|
| 41 |
+
"shared/tokenizer/mobiletransformers_tokenizer_config.json": 296,
|
| 42 |
+
"shared/tokenizer/special_tokens_map.json": 695,
|
| 43 |
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"shared/tokenizer/tokenizer.json": 711661,
|
| 44 |
+
"shared/tokenizer/tokenizer_config.json": 1464,
|
| 45 |
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"shared/tokenizer/vocab.txt": 231508,
|
| 46 |
+
"variants/cpu-int4/checksums.json": 6585,
|
| 47 |
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"variants/cpu-int4/embedding/embedding_model.onnx": 90392834,
|
| 48 |
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"variants/cpu-int4/embedding/rag_config.json": 346,
|
| 49 |
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"variants/cpu-int4/embedding/tokenizer/special_tokens_map.json": 695,
|
| 50 |
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"variants/cpu-int4/embedding/tokenizer/tokenizer.json": 711661,
|
| 51 |
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"variants/cpu-int4/embedding/tokenizer/tokenizer_config.json": 1464,
|
| 52 |
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"variants/cpu-int4/inference/bert.encoder.layer.0.attention.self.query.MatMul.weight.bin": 589824,
|
| 53 |
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"variants/cpu-int4/inference/bert.encoder.layer.0.attention.self.query.MatMul.weight.bin.sha256": 65,
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| 54 |
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"variants/cpu-int4/inference/bert.encoder.layer.0.attention.self.value.MatMul.weight.bin": 589824,
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| 55 |
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| 58 |
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| 76 |
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"variants/cpu-int4/inference/config.json": 611,
|
| 77 |
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"variants/cpu-int4/inference/frozen_base.onnx.data": 83778056,
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| 78 |
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"variants/cpu-int4/inference/merger_lora_fpin_fpout.onnx": 811,
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"variants/cpu-int4/inference/model.onnx": 110896,
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| 80 |
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"variants/cpu-int4/inference/optimum_config.json": 378,
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| 81 |
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"variants/cpu-int4/inference/special_tokens_map.json": 695,
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| 82 |
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"variants/cpu-int4/inference/tokenizer.json": 711661,
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| 83 |
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"variants/cpu-int4/inference/tokenizer_config.json": 1464,
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"variants/cpu-int4/inference/vocab.txt": 231508,
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| 85 |
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"variants/cpu-int4/inference/weight_handoff_map.json": 18707,
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| 86 |
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"variants/cpu-int4/train/checkpoint": 28875552,
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| 87 |
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"variants/cpu-int4/train/eval_model.onnx": 250699,
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| 88 |
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"variants/cpu-int4/train/optimizer_model.onnx": 538,
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| 89 |
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"variants/cpu-int4/train/trainable_parameters.json": 2762,
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| 90 |
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"variants/cpu-int4/train/training_config.json": 7539,
|
| 91 |
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"variants/cpu-int4/train/training_model.onnx": 373568
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| 92 |
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optimum/export_report.json
ADDED
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@@ -0,0 +1,34 @@
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{
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|
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|
optimum/supported_tasks.json
ADDED
|
@@ -0,0 +1,3 @@
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[
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"text-classification"
|
| 3 |
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|
shared/tokenizer/mobiletransformers_tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
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{
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|
| 12 |
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|
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|
shared/tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
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|
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|
|
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|
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|
|
|
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|
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|
|
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|
|
|
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|
|
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|
|
|
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|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
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| 2 |
+
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| 3 |
+
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|
| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"unk_token": {
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
shared/tokenizer/tokenizer.json
ADDED
|
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|
shared/tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,65 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
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|
| 5 |
+
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|
| 6 |
+
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
+
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|
| 11 |
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|
| 12 |
+
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|
| 13 |
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|
| 14 |
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|
| 15 |
+
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|
| 16 |
+
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|
| 17 |
+
"special": true
|
| 18 |
+
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|
| 19 |
+
"101": {
|
| 20 |
+
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|
| 21 |
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
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|
| 25 |
+
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|
| 26 |
+
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|
| 27 |
+
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|
| 28 |
+
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|
| 29 |
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|
| 30 |
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|
| 31 |
+
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|
| 32 |
+
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|
| 33 |
+
"special": true
|
| 34 |
+
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|
| 35 |
+
"103": {
|
| 36 |
+
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|
| 37 |
+
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|
| 38 |
+
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|
| 39 |
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|
| 40 |
+
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|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
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|
| 44 |
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|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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shared/tokenizer/vocab.txt
ADDED
|
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|
variants/cpu-int4/checksums.json
ADDED
|
@@ -0,0 +1,48 @@
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|
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|
| 1 |
+
{
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| 48 |
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}
|
variants/cpu-int4/embedding/embedding_model.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:7c46645e1dcec3d3a27d80f21fcad81ab307317bf3d0580eb8ea6779fa83cc96
|
| 3 |
+
size 90392834
|
variants/cpu-int4/embedding/rag_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
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|
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|
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|
|
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"chunkOverlap": 50,
|
| 3 |
+
"chunkSize": 512,
|
| 4 |
+
"embeddingDimension": 384,
|
| 5 |
+
"embeddingModelId": "sentence-transformers/all-MiniLM-L6-v2",
|
| 6 |
+
"indexingMode": "precompute",
|
| 7 |
+
"maxTextLength": 1024,
|
| 8 |
+
"minScore": 0.0,
|
| 9 |
+
"onnxName": "embedding_model",
|
| 10 |
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"repoName": "sentence-transformers__all-MiniLM-L6-v2",
|
| 11 |
+
"searchType": "semantic",
|
| 12 |
+
"topK": 10
|
| 13 |
+
}
|
variants/cpu-int4/embedding/tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
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|
| 5 |
+
"normalized": false,
|
| 6 |
+
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|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
variants/cpu-int4/embedding/tokenizer/tokenizer.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
variants/cpu-int4/embedding/tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,65 @@
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|
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|
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|
|
variants/cpu-int4/inference/tokenizer_config.json
ADDED
|
@@ -0,0 +1,65 @@
|
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|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"max_length": 128,
|
| 51 |
+
"model_max_length": 512,
|
| 52 |
+
"never_split": null,
|
| 53 |
+
"pad_to_multiple_of": null,
|
| 54 |
+
"pad_token": "[PAD]",
|
| 55 |
+
"pad_token_type_id": 0,
|
| 56 |
+
"padding_side": "right",
|
| 57 |
+
"sep_token": "[SEP]",
|
| 58 |
+
"stride": 0,
|
| 59 |
+
"strip_accents": null,
|
| 60 |
+
"tokenize_chinese_chars": true,
|
| 61 |
+
"tokenizer_class": "BertTokenizer",
|
| 62 |
+
"truncation_side": "right",
|
| 63 |
+
"truncation_strategy": "longest_first",
|
| 64 |
+
"unk_token": "[UNK]"
|
| 65 |
+
}
|
variants/cpu-int4/inference/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
variants/cpu-int4/inference/weight_handoff_map.json
ADDED
|
@@ -0,0 +1,652 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"engines": [
|
| 3 |
+
"native",
|
| 4 |
+
"genai"
|
| 5 |
+
],
|
| 6 |
+
"entries": [
|
| 7 |
+
{
|
| 8 |
+
"adapterDtypes": {
|
| 9 |
+
"adapter_A": "float32",
|
| 10 |
+
"adapter_B": "float32"
|
| 11 |
+
},
|
| 12 |
+
"adapterShapes": {
|
| 13 |
+
"adapter_A": [
|
| 14 |
+
8,
|
| 15 |
+
384
|
| 16 |
+
],
|
| 17 |
+
"adapter_B": [
|
| 18 |
+
384,
|
| 19 |
+
8
|
| 20 |
+
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