Publish verified Ariadne Support interface

LICENSE

@@ -0,0 +1,176 @@
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README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-classification
+base_model: convaiinnovations/laya
+base_model_relation: adapter
+datasets:
+- bitext/Bitext-customer-support-llm-chatbot-training-dataset
+tags:
+- ariadne
+- laya
+- adapter
+- custom-code
+---
+
+# Ariadne-Laya-Support
+
+Routes customer requests to 27 support intents. This **4.2 MB specialist interface** runs on a shared frozen Laya base. Switching between compatible Ariadne specialists replaces about **1 million parameters**, while the **421 million parameter base** stays in memory. Each specialist uses its own small interface.
+
+## Use
+
+Install the included Python wheel from this downloaded model folder:
+
+```bash
+pip install ./ariadne_specialists-0.2.0a1-py3-none-any.whl
+```
+
+```python
+import ariadne
+from ariadne.specialists import Support
+
+model = ariadne.load_specialist(Support, model=".")
+result = model("Where is my refund?")
+print(result.label, result.score)
+```
+
+The base downloads automatically and is cached. Pass `device="cpu"` or `device="cuda:1"` to choose a device. A list of texts returns a list of predictions. Scores have not been recalibrated for this task.
+
+## Load from Hugging Face
+
+After installing the included wheel, you can load this repository directly:
+
+```python
+import ariadne
+from ariadne.specialists import Support
+
+model = ariadne.load_specialist(Support, model="GoatHerder/Ariadne-Laya-Support")
+```
+
+Use the explicit `model=` argument with this preview wheel. The interface and pinned base are downloaded automatically and cached. Pass `revision="<commit hash>"` to pin a particular interface version.
+
+## Interface
+
+The interface is a 1,024 × 1,024 linear projection plus a 1,024-element bias: **1,049,600 trainable parameters**. It sits after the base's native embeddings and before encoder block 0. It starts as the identity; training updates only this projection. The shared base has 421,293,827 parameters. Compatible specialists share one resident base in the same Python process and on the same device.
+
+## Results
+
+All local results below use the same **2,166** requests and label task.
+
+| Model | Accuracy | Macro-F1 |
+|---|---:|---:|
+| Base Laya | 97.14% | 97.28% |
+| Ariadne Support | 99.77% | 99.73% |
+| [learn-abc/magicSupport-intent-classifier](https://huggingface.co/learn-abc/magicSupport-intent-classifier) | 99.95% | 99.96% |
+| TF-IDF + logistic regression | 99.22% | 99.17% |
+
+The public fine-tune's training overlap with these cases is unknown, so this table does not establish a common unseen-test ranking. Full results and existing-task retention are in `metrics.json`.
+
+## Training and scope
+
+Trained on [bitext/Bitext-customer-support-llm-chatbot-training-dataset](https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset), revision `430d1a89bd93bd1fa23c16f29dd53e73f0087443`. One seed (0); epoch 3 selected by validation loss. LR 1e-4; only the 1,049,600 interface parameters were trained. The base embeddings, 28 encoder blocks and decision heads stayed frozen.
+
+English, single-topic inputs and the labels in `task.json`. This source-corpus benchmark is easy and does not establish accuracy on real customer traffic. Unsupported or ambiguous requests still receive a label. Source datasets retain their own licences.
+
+Base revision: `55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851`. Independent adaptation; no affiliation with the original Laya authors.

THIRD_PARTY.md

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+# Sources and attribution
+
+## Shared model
+
+This interface uses [convaiinnovations/laya](https://huggingface.co/convaiinnovations/laya/tree/55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851) at revision `55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851`. The runtime downloads and caches the base separately. Original Laya embeddings, encoder blocks and decision heads remain frozen.
+
+## Software
+
+Ariadne's runtime, prompts and benchmark preparation use code or recipes adapted from:
+
+- [NandhaKishorM/laya](https://github.com/NandhaKishorM/laya/tree/4066d5d5fbf08b66c6757ddeedbd797bd7655bc0), commit `4066d5d5fbf08b66c6757ddeedbd797bd7655bc0`, Apache-2.0. Notice: [licenses/laya-LICENSE](licenses/laya-LICENSE).
+- [AbdelStark/jev-benchmarks](https://github.com/AbdelStark/jev-benchmarks/tree/0d610cc53e79bcbec691312b0c4adb4a0e371642), commit `0d610cc53e79bcbec691312b0c4adb4a0e371642`, Apache-2.0. Notice: [licenses/jev-benchmarks-LICENSE](licenses/jev-benchmarks-LICENSE).
+
+Ariadne's license is in [LICENSE](LICENSE). Other installed dependencies retain their own licenses. Independent adaptation; no affiliation with or endorsement by the source authors.
+
+## Training data and evaluation
+
+Dataset: [bitext/Bitext-customer-support-llm-chatbot-training-dataset](https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset/tree/430d1a89bd93bd1fa23c16f29dd53e73f0087443), revision `430d1a89bd93bd1fa23c16f29dd53e73f0087443`. Dataset metadata is preserved in [source.json](source.json). The dataset retains its own license; training data is not included in this package.
+
+See [README.md](README.md) for task scope and comparison limitations, and [metrics.json](metrics.json) for the public comparison model's revision and evaluation details. Public comparison weights are not included.

adapter.safetensors

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+oid sha256:8e7229510383796d6d07c5a03e6c8818ea92d8c595296d5486ea54d1f846a4c9
+size 4198616

adapter_config.json

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+{
+  "format_version": 1,
+  "interface": "exact_linear",
+  "position": "after native embeddings, before ModernBERT block 0",
+  "base_model": "convaiinnovations/laya",
+  "base_revision": "55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851",
+  "candidate_seed": 0,
+  "max_len": 1024,
+  "head_max_len": 256,
+  "trainable_parameters_during_training": 1049600,
+  "frozen_state_sha256": "7560d83b1e1c17cce7eb67b25674fc8e7f0958bac4b47f559c725f8695c4d59b",
+  "base_config_sha256": {
+    "rl_agent_config.json": "ae287b56bbcf5f8c4f4541ae9dfd00c914c4c48b940b8398c3058af37ba92bbd",
+    "encoder/config.json": "bf3ab80598fdccf414855a2ce80f22859e4492d06ca8a62ddd1cfb63972f8979",
+    "tokenizer/tokenizer.json": "6c8aaa9a542084f2457eab775d4eeb51f92a70c0fd9de28d5edb0ddec3c08d30",
+    "tokenizer/tokenizer_config.json": "50044de60daaa73df97d262e15a40d4faf0160e7d742df64b377877a1320dd12"
+  },
+  "seeds": {
+    "0": {
+      "weights_file": "adapter.safetensors",
+      "weights_sha256": "8e7229510383796d6d07c5a03e6c8818ea92d8c595296d5486ea54d1f846a4c9",
+      "selected_epoch": 3
+    }
+  },
+  "task_sha256": "b1c9d0d7709474b1f29a51adbce255d8c49b32cfd67ae0eb6876ba187199d9c8"
+}

export-verification.json

@@ -0,0 +1,13 @@
+{
+  "passed": true,
+  "installed_wheel_imported_outside_workspace": true,
+  "test_cases": 2166,
+  "all_single_request_labels_and_probabilities_exact": true,
+  "two_specialists_one_backbone": true,
+  "real_adapter_switching_roundtrip_exact": true,
+  "closing_one_specialist_preserves_other": true,
+  "batch_interface_checked": true,
+  "all_base_tensors_unchanged": true,
+  "all_modules_eval": true,
+  "device": "cuda:1"
+}

licenses/jev-benchmarks-LICENSE

@@ -0,0 +1,201 @@
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licenses/laya-LICENSE

@@ -0,0 +1,176 @@
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release_manifest.json

@@ -0,0 +1,28 @@
+{
+  "status": "verified model; repackaged for manual upload",
+  "repository": "GoatHerder/Ariadne-Laya-Support",
+  "source_release_manifest_sha256": "9975b78a293b507ba7517860b0c5d96e61f9a36d66be12277c573e5344a43a98",
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+    "metrics.json": "026cae39797642a3871dfee21a0b24789165a8cda2050a1e8fccaa493f6b4b94",
+    "export-verification.json": "ba6a2de491919c0968c6230c1eb4eb55a5c6ef426644df7f7b48e950f94abb69",
+    "LICENSE": "a6cba85bc92e0cff7a450b1d873c0eaa2e9fc96bf472df0247a26bec77bf3ff9",
+    "ariadne_specialists-0.2.0a1-py3-none-any.whl": "7b48ac13eba6a7efd834dab793cf4bfbcbf7d69697edfffca0a6a1a4461a98d7"
+  },
+  "files_sha256": {
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+    "THIRD_PARTY.md": "bcf4d2068973f21168aad23de00a6d94c7d784b07407c02db83c1366166c1649",
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+    "export-verification.json": "ba6a2de491919c0968c6230c1eb4eb55a5c6ef426644df7f7b48e950f94abb69",
+    "licenses/jev-benchmarks-LICENSE": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4",
+    "licenses/laya-LICENSE": "a6cba85bc92e0cff7a450b1d873c0eaa2e9fc96bf472df0247a26bec77bf3ff9",
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+  }
+}

source.json

@@ -0,0 +1,7 @@
+{
+  "id": "bitext/Bitext-customer-support-llm-chatbot-training-dataset",
+  "revision": "430d1a89bd93bd1fa23c16f29dd53e73f0087443",
+  "license_metadata": "cdla-sharing-1.0",
+  "url": "https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset",
+  "metadata_only": true
+}

task.json

@@ -0,0 +1,44 @@
+{
+  "domain": "support",
+  "questions": {
+    "label": {
+      "type": "choice",
+      "instructions": "Choose the customer support intent that best matches this request.",
+      "criteria": {
+        "cancel_order": "cancel order",
+        "change_order": "change order",
+        "change_shipping_address": "change shipping address",
+        "check_cancellation_fee": "check cancellation fee",
+        "check_invoice": "check invoice",
+        "check_payment_methods": "check payment methods",
+        "check_refund_policy": "check refund policy",
+        "complaint": "complaint",
+        "contact_customer_service": "contact customer service",
+        "contact_human_agent": "contact human agent",
+        "create_account": "create account",
+        "delete_account": "delete account",
+        "delivery_options": "delivery options",
+        "delivery_period": "delivery period",
+        "edit_account": "edit account",
+        "get_invoice": "get invoice",
+        "get_refund": "get refund",
+        "newsletter_subscription": "newsletter subscription",
+        "payment_issue": "payment issue",
+        "place_order": "place order",
+        "recover_password": "recover password",
+        "registration_problems": "registration problems",
+        "review": "review",
+        "set_up_shipping_address": "set up shipping address",
+        "switch_account": "switch account",
+        "track_order": "track order",
+        "track_refund": "track refund"
+      }
+    }
+  },
+  "max_len": 1024,
+  "head_max_len": 256,
+  "primary_metric": "macro_f1",
+  "checkpoint_selection": "minimum validation cross entropy",
+  "max_sequence_tokens": 263,
+  "input_or_candidate_truncation": false
+}