Yuekai ZhangandClaude Fable 5
4179b0cae1
Signed-off-by: Yuekai Zhang <zhangyuekai@foxmail.com> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
114 lines
4.7 KiB
YAML
114 lines
4.7 KiB
YAML
# NemotronVoiceChat-11B offline speech-to-speech deployment.
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# 3 stages on one GPU: thinker (NemotronH AR) -> talker (EAR-TTS AR) -> code2wav
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# (RVQ-VAE decode). thinker->talker is token-path only; talker->code2wav ships
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# the [frames, 31] code stack via the shared-memory connector.
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#
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# The default is the FAST profile (2.8x on the acceptance fixture, 10.3 s ->
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# 3.65 s / RTF 0.23 on 1x H100): a bf16 + CUDA-graph thinker and the talker's
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# Gemma3 backbone running as a native vLLM model (PagedAttention KV + vLLM
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# decode CUDA graphs, MoG sampling in one captured graph) — the way NVIDIA's
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# own deployment serves EAR-TTS. Every fast setting is marked with a
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# "PARITY:" comment; apply those edits to bit-match the eager fp32 NeMo
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# reference (196/196 token parity, md5-anchored WAV on the acceptance
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# fixture).
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#
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# Notes on the native talker:
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# * classifier-free guidance is OFF by default (a paired ASR study over 4
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# fixtures at this checkpoint's guidance_scale=0.2 found no systematic
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# difference). Opt in via hf_overrides.native_talker_guidance below.
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# * the talker's engine prompt covers the speaker-prompt prefill
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# (hf_overrides.talker_init_len; 37 for the shipped "Aria" speaker). The
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# talker validates the value and reports the right one on mismatch.
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pipeline: nemotron_voicechat
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async_chunk: false
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connectors:
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connector_of_shared_memory:
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name: SharedMemoryConnector
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extra:
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shm_threshold_bytes: 65536
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stages:
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- stage_id: 0 # thinker: speech -> frame-locked text (final text output)
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max_num_seqs: 1
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gpu_memory_utilization: 0.62
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# PARITY: set enforce_eager: true and dtype: float32. bf16 + CUDA graphs
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# is ~4x faster per frame and halves the weights (~43 GB -> ~21 GB); its
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# greedy text can legitimately diverge from the fp32 reference (measured
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# within one word on the acceptance fixture, ASR-clean).
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enforce_eager: false
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dtype: bfloat16
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# NemotronH mamba SSM state in fp32 (matches NVIDIA's own vLLM deployment
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# of this model; bf16 SSM state accumulates drift over long sequences).
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mamba_ssm_cache_dtype: float32
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enable_prefix_caching: false
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async_scheduling: false
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max_num_batched_tokens: 8192
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max_model_len: 8192
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devices: "0"
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default_sampling_params:
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# Greedy, frame-locked: the example sets max_tokens to the
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# exact acoustic frame count per request; text EOS never stops generation.
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temperature: 0.0
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ignore_eos: true
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seed: 0
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- stage_id: 1 # talker: text timeline -> 31-quantizer code stacks
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max_num_seqs: 1
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gpu_memory_utilization: 0.12
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# PARITY: set enforce_eager: true and delete the hf_overrides block. The
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# vendored eager fp32 EAR-TTS step is the NeMo-bit-exact path; the native
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# backbone replays the same math on PagedAttention with fresh
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# CUDA-graph-safe RNG draws (audio equivalent, not bit-identical).
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enforce_eager: false
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enable_prefix_caching: false
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async_scheduling: false
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skip_tokenizer_init: true
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max_num_batched_tokens: 4096
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max_model_len: 16384
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# fp32 like the NeMo reference: the EAR-TTS MoG/codec-embedding path mixes
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# fp32 buffers into the forward, and 1B params in fp32 are cheap.
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dtype: float32
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devices: "0"
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hf_overrides:
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use_native_talker: true
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talker_init_len: 37
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# Classifier-free guidance (checkpoint guidance_scale=0.2): mirrors the
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# stream on the vendored HF backbone (captured StaticCache step) and
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# blends per NeMo's generate_step math. 196-frame fixture: 3.65 s ->
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# 5.3 s (RTF 0.23 -> 0.34). Requires gpu_memory_utilization ~0.18 on
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# this stage (the vendored backbone copy stays loaded). Off by default:
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# measured ASR-equivalent at this checkpoint's scale.
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# native_talker_guidance: true
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output_connectors:
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to_stage_2: connector_of_shared_memory
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default_sampling_params:
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# Placeholder-token loop; the stage emits stop token 1 after the last
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# timeline position. 16347 = max_model_len (16384) minus the native
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# talker's 37-token speaker-prompt prefill: the request carries the
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# placeholder prompt tokens, and prompt + max_tokens must fit
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# max_model_len.
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temperature: 0.0
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max_tokens: 16347
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stop_token_ids: [1]
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detokenize: false
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seed: 0
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- stage_id: 2 # code2wav: codes -> 22.05 kHz PCM (fp32 codec)
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max_num_seqs: 1
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gpu_memory_utilization: 0.06
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enforce_eager: true
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enable_prefix_caching: false
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async_scheduling: false
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skip_tokenizer_init: true
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max_num_batched_tokens: 65536
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max_model_len: 65536
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devices: "0"
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input_connectors:
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from_stage_1: connector_of_shared_memory
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default_sampling_params:
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temperature: 0.0
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max_tokens: 1
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detokenize: false
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seed: 0
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