# Audio8 TTS Preview 0.6B deploy: async-chunk streaming slow_ar -> codec_decoder. # Model: Audio8/Audio8-TTS-Preview-0.6b (model_type = "arktts"). # # trust_remote_code is deliberately OFF: the checkpoint ships an `auto_map`, and # transformers prefers remote code over registered classes when it is enabled, # which would bypass vllm-omni's Audio8TTSConfig (the Qwen2-shaped view that # Qwen2Model needs). The tokenizer is a plain PreTrainedTokenizerFast and needs # no remote code either. async_chunk: true enable_chunked_prefill: false connectors: connector_of_shared_memory: name: SharedMemoryConnector extra: codec_streaming: true connector_get_sleep_s: 0.01 connector_get_max_wait_first_chunk: 3000 connector_get_max_wait: 300 # ~21.5 Hz codec; 25 frames ~= 1.16 s of audio. codec_chunk_frames: 25 codec_left_context_frames: 25 initial_codec_chunk_frames: 4 # float32 keeps the Snake activations / weight-normed convs clean. audio8_tts_codec_dtype: float32 stages: - stage_id: 0 # >= 4 so concurrent requests pipeline; a default of 1 starves the codec # window and produces audible gaps under load. # # Measured on 1x H20 (20 prompts, mean audio 4.5 s): at client concurrency 8, # raising this to 8 buys +27% throughput and 4.5x lower first-packet latency # (1124 ms -> 247 ms) at the cost of a 0.22 s worst-case buffer deficit in # 1 of 20 requests. 4 is the default because every measured point here had # zero underrun; see examples/online_serving/text_to_speech/README.md. max_num_seqs: 4 # 0.6B weights + a 2048-token KV cache need very little: sized for a small # slice of the GPU so the codec stage and other tenants still fit. gpu_memory_utilization: 0.2 enforce_eager: false trust_remote_code: false enable_prefix_caching: false async_scheduling: false # The checkpoint's max_seq_len is 2048 packed text+audio positions; with # chunked prefill off, max_num_batched_tokens must be >= max_model_len. max_model_len: 2048 max_num_batched_tokens: 2048 devices: "0" output_connectors: to_stage_1: connector_of_shared_memory default_sampling_params: # generation_config.json of the released checkpoint. temperature: 0.7 top_k: 50 top_p: 0.9 max_tokens: 1024 seed: 42 repetition_penalty: 1.0 - stage_id: 1 max_num_seqs: 1 # The codec is ~1.4 GB of weights plus per-chunk activations. gpu_memory_utilization: 0.1 enforce_eager: true trust_remote_code: false enable_prefix_caching: false async_scheduling: false max_model_len: 2048 max_num_batched_tokens: 2048 devices: "0" input_connectors: from_stage_0: connector_of_shared_memory default_sampling_params: temperature: 0.0 top_p: 1.0 top_k: -1 max_tokens: 65536 seed: 42 repetition_penalty: 1.0