Automatic Speech Recognition
cactus
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@@ -38,7 +38,7 @@ Trained on **1,022.78 hours (594,231 clips)** of curated Thai speech using quant
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  | **Precision / Quantization** | `W4A8` (4-bit weights with straight-through estimator, 8-bit activations & KV cache) |
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  | **Supported Languages** | `th` (Thai), plus base `en`, `de`, `fr`, `es`, `it`, `nl`, `pl` |
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  | **Vocabulary Expansion** | `+2,067` Thai tokens (`+10,958` SentencePiece pieces + `<\|th\|>` language tag) |
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- | **Standalone `.cact` Size** | **32.49 MB** (`whistle-thai-combined.cact`, 681 tensors) |
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  | **LoRA Adapter Size** | **29.0 MB** (`adapter.safetensors`) |
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  ### Dataset Summary
 
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  | **Precision / Quantization** | `W4A8` (4-bit weights with straight-through estimator, 8-bit activations & KV cache) |
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  | **Supported Languages** | `th` (Thai), plus base `en`, `de`, `fr`, `es`, `it`, `nl`, `pl` |
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  | **Vocabulary Expansion** | `+2,067` Thai tokens (`+10,958` SentencePiece pieces + `<\|th\|>` language tag) |
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+ | **Standalone `.cact` Size** | **32.49 MB** (`maprang.cact`, 681 tensors) |
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  | **LoRA Adapter Size** | **29.0 MB** (`adapter.safetensors`) |
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  ### Dataset Summary