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Merge branch 'main' into wordboosting_by_phrase
2 parents 1a47329 + 93b15b1 commit 442bde2

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examples/speechlm2/conf/duplex_stt.yaml

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model:
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# Every name/path here starting with 'pretrained' is used to initialize the model weights.
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pretrained_llm: TinyLlama/TinyLlama_v1.1
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pretrained_llm: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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pretrained_asr: nvidia/stt_en_fastconformer_hybrid_large_streaming_multi
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scoring_asr: stt_en_fastconformer_transducer_large # used only in validation/evaluation
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source_sample_rate: 16000

examples/speechlm2/conf/s2s_duplex.yaml

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model:
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# Every name/path here starting with 'pretrained' is used to initialize the model weights.
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pretrained_llm: TinyLlama/TinyLlama_v1.1
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pretrained_llm: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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pretrained_audio_codec: ??? # to be released
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pretrained_asr: nvidia/stt_en_fastconformer_hybrid_large_streaming_multi
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scoring_asr: stt_en_fastconformer_transducer_large # used only in validation/evaluation

examples/speechlm2/conf/s2s_duplex_speech_decoder.yaml

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model:
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# Every name/path here starting with 'pretrained' is used to initialize the model weights.
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pretrained_llm: TinyLlama/TinyLlama_v1.1
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pretrained_llm: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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pretrained_audio_codec: ??? # to be released
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pretrained_asr: nvidia/stt_en_fastconformer_hybrid_large_streaming_multi
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scoring_asr: stt_en_fastconformer_transducer_large # used only in validation/evaluation

pyproject.toml

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"gitpython>=3.1.50",
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"mako>=1.3.12",
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"pyarrow>=23.0.1",
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"aiohttp>=3.14.0"
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"aiohttp>=3.14.0",
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"pillow>=12.3.0"
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]
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no-binary-package = [
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"causal-conv1d",

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