tests logs
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ggml_cuda_init: found 1 CUDA devices (Total VRAM: 97247 MiB):
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Device 0: NVIDIA RTX PRO 6000 Blackwell Workstation Edition, compute capability 12.0, VMM: yes, VRAM: 97247 MiB
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load_backend: loaded CUDA backend from /mnt/workspace/qwentts.cpp/build/libggml-cuda.so
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ggml_vulkan: Found 1 Vulkan devices:
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ggml_vulkan: 0 = NVIDIA RTX PRO 6000 Blackwell Workstation Edition (NVIDIA) | uma: 0 | fp16: 1 | bf16: 0 | warp size: 32 | shared memory: 49152 | int dot: 1 | matrix cores: NV_coopmat2
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load_backend: loaded Vulkan backend from /mnt/workspace/qwentts.cpp/build/libggml-vulkan.so
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load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-cpu-zen4.so
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[Load] Talker backend: Vulkan0 (CPU threads: 16)
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[GGUF] ../models/qwen-talker-1.7b-base-BF16.gguf: 480 tensors, data at offset 5954496
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[WeightCtx] Loaded 316 tensors, 3322.0 MB into backend
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[Talker] Loaded: 28 layers, hidden 2048, heads 16/8, head_dim 128, FFN 6144, RoPE theta 1000000, mrope sections [24,20,20] interleaved=0
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[WeightCtx] Loaded 88 tensors, 334.1 MB into backend
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[CodePredictor] Loaded: 5 layers, hidden 1024, heads 16/8, head_dim 128, FFN 3072, RoPE theta 1000000, 15 acoustic codebooks (vocab 2048 each), mtp_proj linear
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[WeightCtx] Loaded 76 tensors, 34.9 MB into backend
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[SpeakerEncoder] Loaded: enc_dim=2048 sr=24000 mel_dim=128 hidden=512 mfa=1536 asp_attn=128 se=128 scale=8
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[GGUF] ../models/qwen-tokenizer-12hz-BF16.gguf: 398 tensors, data at offset 29760
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[WeightCtx] Loaded 18 tensors, 33.0 MB into backend
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[Quantizer] Loaded: 16 codebooks (1 semantic + 15 acoustic), 2048 entries x 256 dim, hidden 512
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[WeightCtx] Loaded 93 tensors, 58.1 MB into backend
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[Transformer] Loaded: 8 layers, hidden 512, heads 16/16, head_dim 64, FFN 1024, RoPE theta 10000, sliding window 72
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[CausalTransConv] FATAL: 'tok_dec.upsample.0.conv.weight' expected F32 or F16, got type 30
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[Input] Prompt: 100 chars: qwentts.cpp is a minimal C++17 and GGML port of Qwen3-TTS fo...
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[Input] Lang: english Seed: 42 MaxNewTokens: 64
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[Input] Mode: greedy
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[Python] Device: cuda
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[Python] InputIds shape: (1, 38)
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[Python] Codes shape: (63, 16) (T_frames, num_code_groups)
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[Python] Audio: 120960 samples 24000 Hz 5.04s -> python/base/base-python.wav
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[Quant] BF16 -> ../models/qwen-talker-1.7b-base-BF16.gguf + ../models/qwen-tokenizer-12hz-BF16.gguf
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[GGML] Cmd: ../build/qwen-tts --model ../models/qwen-talker-1.7b-base-BF16.gguf --codec ../models/qwen-tokenizer-12hz-BF16.gguf --seed 42 --text qwentts.cpp is a minimal C++17 and GGML port of Qwen3-TTS for zero shot multilingual text to speech. --lang english --max-new 64 --dump cpp/base -o cpp/base/base-cpp.wav --greedy
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