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README.md

@@ -66,6 +66,7 @@ Note: Existing Japanese ASR benchmarks are not designed to properly evaluate Jap
 | [lilfugu](https://huggingface.co/holotherapper/lilfugu) (this) | 4.1 GB | MLX bfloat16 |
 | [lilfugu-8bit](https://huggingface.co/holotherapper/lilfugu-8bit) | 2.8 GB | MLX 8bit quantized |
 | [lilfugu-transformers](https://huggingface.co/holotherapper/lilfugu-transformers) | 4.1 GB | safetensors fp16 (CUDA/Linux) |
+| [lilfugu-transformers-8bit](https://huggingface.co/holotherapper/lilfugu-transformers-8bit) | 2.2 GB | bitsandbytes int8 (CUDA/Linux) |
 | [lilfugu-lora](https://huggingface.co/holotherapper/lilfugu-lora) | ~49 MB | LoRA adapter |
 
 See also: [lilfugu-experimental](https://huggingface.co/holotherapper/lilfugu-experimental) — higher term accuracy, but may over-convert in some cases.
@@ -94,9 +95,9 @@ model = load("holotherapper/lilfugu-8bit")
 ### CUDA / Linux
 
 ```python
-from qwen_asr import Qwen3ASR
+from qwen_asr import Qwen3ASRModel
 
-model = Qwen3ASR.from_pretrained("holotherapper/lilfugu-transformers")
+model = Qwen3ASRModel.from_pretrained("holotherapper/lilfugu-transformers")
 result = model.transcribe("audio.wav")
 ```