Publish stable Russian Style-Bert v3/1000

Adds the selected RU safetensors checkpoint, original five-style vectors, model config, training and selection audits, checksums, and verified inference instructions.

Models/Russian_StyleBert_Pilot/v3-1000/README.md

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+# Russian GLaDOS Style-Bert-VITS2 — v3/1000
+
+This is the selected stable Russian inference checkpoint for the GLaDOS voice.
+It is a native Russian Style-Bert-VITS2 adaptation; English remains routed to
+the unmodified original GLaDOS model.
+
+## Files
+
+- `latest.safetensors` — complete Russian acoustic checkpoint.
+- `config.json` — 44.1 kHz model configuration and five-style mapping.
+- `style_vectors.npy` — the five original GLaDOS style vectors.
+- `training_audit.json` — immutable checkpoint/export provenance.
+- `selection_audit.json` — held-out selection result and runtime contract.
+- `SHA256SUMS` — hashes for every inference asset and audit.
+
+## Styles
+
+`Neutral`, `Standard`, `Deep`, `Light`, and `Standard_02` are preserved with
+the original IDs 0 through 4.
+
+## Download
+
+```bash
+hf download Random118/GLaDOS_TTS \
+  --include 'Models/Russian_StyleBert_Pilot/v3-1000/*' \
+  --local-dir ./GLaDOS_TTS
+```
+
+## Verified inference on the training host
+
+The Russian frontend and hash checks are implemented in `orange-RAG` commit
+`22c75c5`. From `/home/random/orange-RAG`:
+
+```bash
+GLADOS_ESPEAK_NG=/home/random/glados-tts/espeak-ng/bin/espeak-ng \
+  /home/random/glados-tts/.venv/bin/python \
+  -m glados_ru.run_verified_russian_glados \
+  --profile v3-1000 \
+  --text 'Закро́йте две́рь и сохрани́те па́роль.' \
+  --style Neutral \
+  --output /tmp/glados-ru.wav
+```
+
+The default frontend applies `RuAccent` to plain Russian. Explicit combining
+acute accents (`о́`) and `ё` take priority. The output is mono PCM16 at 44.1
+kHz. The verified one-shot CPU process used about 1.65 GiB RAM and 0 MiB VRAM.
+

Models/Russian_StyleBert_Pilot/v3-1000/SHA256SUMS

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+dd8c8987ddd003236589863b3d483d0f50f27e9ea17c92ed0bf839a4818a53ae  latest.safetensors
+d8baa2c240562034431f6f5ebf2d107d2beb21768608c30348b945482138ff30  config.json
+80cc6ff2333eea2644b5008bf4fce1e838038b8431d72adb8c282aa29c2e274e  style_vectors.npy
+59ac5781a47e6409b61f1b9f9d23695a1005f2fedc7b7064b6259310e34766d1  training_audit.json
+0c368b610f2333f650c4a17f357590fb22d43aeeab4a7b7588adcf80261d2346  selection_audit.json
+d67023129306ba3e2eb9bbf7b0e70111f98ede4a2f307935afb7685117346383  README.md

Models/Russian_StyleBert_Pilot/v3-1000/config.json

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+{
+  "model_name": "Portal_GLaDOS_v1",
+  "train": {
+    "log_interval": 200,
+    "eval_interval": 1000,
+    "seed": 42,
+    "epochs": 1000,
+    "learning_rate": 0.0002,
+    "betas": [
+      0.8,
+      0.99
+    ],
+    "eps": 1e-09,
+    "batch_size": 4,
+    "bf16_run": false,
+    "lr_decay": 0.99995,
+    "segment_size": 16384,
+    "init_lr_ratio": 1,
+    "warmup_epochs": 0,
+    "c_mel": 45,
+    "c_kl": 1.0,
+    "skip_optimizer": false,
+    "freeze_ZH_bert": false,
+    "freeze_JP_bert": false,
+    "freeze_EN_bert": false,
+    "freeze_style": false,
+    "freeze_encoder": false,
+    "freeze_decoder": false
+  },
+  "data": {
+    "use_jp_extra": false,
+    "training_files": "Data\\Portal_GLaDOS_v1\\train.list",
+    "validation_files": "Data\\Portal_GLaDOS_v1\\val.list",
+    "max_wav_value": 32768.0,
+    "sampling_rate": 44100,
+    "filter_length": 2048,
+    "hop_length": 512,
+    "win_length": 2048,
+    "n_mel_channels": 128,
+    "mel_fmin": 0.0,
+    "mel_fmax": null,
+    "add_blank": true,
+    "n_speakers": 1,
+    "cleaned_text": true,
+    "num_styles": 5,
+    "style2id": {
+      "Neutral": 0,
+      "Standard": 1,
+      "Deep": 2,
+      "Light": 3,
+      "Standard_02": 4
+    },
+    "spk2id": {
+      "Portal_GLaDOS_v1": 0
+    }
+  },
+  "model": {
+    "use_spk_conditioned_encoder": true,
+    "use_noise_scaled_mas": true,
+    "use_mel_posterior_encoder": false,
+    "use_duration_discriminator": true,
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "kernel_size": 3,
+    "p_dropout": 0.1,
+    "resblock": "1",
+    "resblock_kernel_sizes": [
+      3,
+      7,
+      11
+    ],
+    "resblock_dilation_sizes": [
+      [
+        1,
+        3,
+        5
+      ],
+      [
+        1,
+        3,
+        5
+      ],
+      [
+        1,
+        3,
+        5
+      ]
+    ],
+    "upsample_rates": [
+      8,
+      8,
+      2,
+      2,
+      2
+    ],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [
+      16,
+      16,
+      8,
+      2,
+      2
+    ],
+    "n_layers_q": 3,
+    "use_spectral_norm": false,
+    "gin_channels": 256
+  },
+  "version": "2.4.1"
+}

Models/Russian_StyleBert_Pilot/v3-1000/latest.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dd8c8987ddd003236589863b3d483d0f50f27e9ea17c92ed0bf839a4818a53ae
+size 198808124

Models/Russian_StyleBert_Pilot/v3-1000/selection_audit.json

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+{
+  "status": "selected_stable_default",
+  "profile": "v3-1000",
+  "checkpoint_sha256": "dd8c8987ddd003236589863b3d483d0f50f27e9ea17c92ed0bf839a4818a53ae",
+  "config_sha256": "d8baa2c240562034431f6f5ebf2d107d2beb21768608c30348b945482138ff30",
+  "style_vectors_sha256": "80cc6ff2333eea2644b5008bf4fce1e838038b8431d72adb8c282aa29c2e274e",
+  "training_audit_sha256": "59ac5781a47e6409b61f1b9f9d23695a1005f2fedc7b7064b6259310e34766d1",
+  "styles": {
+    "Neutral": 0,
+    "Standard": 1,
+    "Deep": 2,
+    "Light": 3,
+    "Standard_02": 4
+  },
+  "held_out_russian_100": {
+    "gigaam": {
+      "exact": 37,
+      "wer": 0.1968
+    },
+    "whisper": {
+      "exact": 47,
+      "wer": 0.1604
+    },
+    "both_exact": 26
+  },
+  "runtime": {
+    "language": "RU",
+    "sample_rate": 44100,
+    "output": "mono PCM16 WAV",
+    "automatic_stress": "RuAccent turbo3.1; explicit U+0301 and ё take priority",
+    "verified_peak_rss_kib": 1685160,
+    "expected_vram_mib": 0,
+    "frontend_commit": "22c75c5"
+  },
+  "english_route": "Use the separate, unmodified original GLaDOS checkpoint for EN.",
+  "excluded_candidate": "The later Baya ending-correction checkpoint is still pending human listening and is not this release."
+}

Models/Russian_StyleBert_Pilot/v3-1000/style_vectors.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:80cc6ff2333eea2644b5008bf4fce1e838038b8431d72adb8c282aa29c2e274e
+size 5248

Models/Russian_StyleBert_Pilot/v3-1000/training_audit.json

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+{"status": "trained", "checkpoint_sha256": "dd8c8987ddd003236589863b3d483d0f50f27e9ea17c92ed0bf839a4818a53ae", "step": 1000, "source_resume": "/home/random/glados-tts/native-ru/pilot-run-v3/resume-step1000.pt", "source_resume_sha256": "ddccfa01045d7906a356e6e3cec81aa80299e409c062c699b9c5334681e1c8d2"}