Mirror OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5 @ be7766a6735b + OpenMOSS-Team/MOSS-Audio-Tokenizer-v2 @ f6e20e543b33 for MAESTRO (local_v15/)

- model/: safetensors + tokenizer/config files VERBATIM (sha256 vs upstream LFS)
- codec/: re-sharded by top-level module (encoder / decoder / quantizer); provenance in codec/sha256.json
- HF remote-code .py files dropped: MAESTRO vendors the GitHub graphs (ai/moss_tts_vendor), never trust_remote_code

Loaded by MAESTRO via backend/ai/models/moss_tts.py (codec halves sequenced on/off the GPU).

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+local_v15/model/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,127 @@
+---
+license: apache-2.0
+language:
+  - en
+  - zh
+  - yue
+  - ja
+  - ko
+  - fr
+  - de
+  - es
+  - it
+  - pt
+  - ru
+  - ar
+  - hi
+  - nl
+  - pl
+  - tr
+  - vi
+  - th
+  - sv
+  - da
+  - fi
+  - cs
+  - el
+  - he
+  - hu
+  - ro
+  - ms
+  - fa
+  - sw
+  - tl
+  - mk
+pipeline_tag: text-to-speech
+tags:
+  - text-to-speech
+  - voice-cloning
+  - moss-tts-family
+  - maestro
+base_model:
+  - OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5
+  - OpenMOSS-Team/MOSS-Audio-Tokenizer-v2
+  - OpenMOSS-Team/MOSS-TTS-v1.5
+  - OpenMOSS-Team/MOSS-Audio-Tokenizer
+---
+
+# MOSS-TTS v1.5 family — MAESTRO mirror
+
+Redistribution of the OpenMOSS **MOSS-TTS v1.5** checkpoints and their codecs,
+packaged for the [MAESTRO](https://github.com/AEmotionStudio) audio
+workstation's offline runtime. All credit to the OpenMOSS team (Fudan
+University) — code and weights are **Apache-2.0**
+([MOSS-TTS](https://github.com/OpenMOSS/MOSS-TTS),
+[MOSS-Audio-Tokenizer](https://github.com/OpenMOSS/MOSS-Audio-Tokenizer)).
+
+MOSS-TTS v1.5 is zero-shot voice-cloning text-to-speech in **31 languages**:
+clone a speaker from a few seconds of reference audio (no transcript) or use
+the model's own voice, with explicit language tags, inline `[pause X.Ys]`
+marks and token-level duration control.
+
+| lane | upstream | revision | what |
+|---|---|---|---|
+| `local_v15/` | [MOSS-TTS-Local-Transformer-v1.5](https://huggingface.co/OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5) | `be7766a6735b98bd793f7c79fb720b4d0f5d13b8` | 4B MossTTSLocal — Qwen3-4B backbone + a 1-layer local transformer over 12 RVQ codebooks |
+| `local_v15/codec/` | [MOSS-Audio-Tokenizer-v2](https://huggingface.co/OpenMOSS-Team/MOSS-Audio-Tokenizer-v2) | `f6e20e543b33d2c252a7ef71bdf8aa71e5ff9169` | native **48 kHz stereo**, 12.5 Hz, 2B params |
+| `delay_v15/` | [MOSS-TTS-v1.5](https://huggingface.co/OpenMOSS-Team/MOSS-TTS-v1.5) | `cdd3b911b1585e3f2dbc7775ef10f9926f58850a` | 8B MossTTSDelay — Qwen3-8B backbone + delay-pattern heads over 32 RVQ codebooks |
+| `delay_v15/codec/` | [MOSS-Audio-Tokenizer](https://huggingface.co/OpenMOSS-Team/MOSS-Audio-Tokenizer) | `3cd226ba2947efa357ef453bcad111b6eafba782` | 24 kHz mono, 12.5 Hz, 1.77B params |
+
+## Layout
+
+```
+local_v15/model/   config.json, model.safetensors (bf16, 9.10 GB — VERBATIM upstream),
+                   tokenizer + config files
+local_v15/codec/   config.json (upstream + the shipped codec_weight_dtype)
+                   encoder.safetensors   — encoder.* tensors
+                   decoder.safetensors   — decoder.* tensors
+                   quantizer.safetensors — quantizer.* tensors (always fp32)
+                   model.safetensors.index.json — maps every tensor → the three files
+                   sha256.json           — upstream shard hashes + per-tensor provenance
+delay_v15/model/   config.json, model-0000N-of-00004.safetensors (bf16, 17.0 GB — VERBATIM),
+                   model.safetensors.index.json, tokenizer + config files
+delay_v15/codec/   config.json, decoder.safetensors (decoder.* + quantizer.*, fp32),
+                   encoder.safetensors (encoder.*, fp32), model.safetensors.index.json,
+                   sha256.json — byte-identical to upstream (per-tensor sha256 proof)
+```
+
+### Why the codecs are re-sharded
+
+Voice cloning **encodes** the reference clip once and **decodes** the take
+once — never both at the same time. The codecs are re-partitioned **by
+top-level module** so MAESTRO can materialise one half at a time and move it
+on and off the GPU around its single call; on a 12 GB card that is the
+difference between the 4B language model fitting and not. Each lane's
+`codec/sha256.json` carries the upstream shard hashes and a per-tensor sha256
+so the split is verifiable: the v1 codec and the v2 quantizer are byte-identical
+to upstream; if `local_v15/codec/config.json` says `codec_weight_dtype: bf16`,
+the v2 encoder/decoder halves were cast fp32 → bf16 (upstream's own default
+`codec_weight_dtype` for this model) and both the upstream and the shipped
+digest are recorded.
+
+### What was dropped
+
+The upstream repos' remote-code `.py` files. MAESTRO vendors the GitHub
+`moss_tts_local_v1.5/` and `moss_tts_delay/` graphs and both codec
+implementations (patched for transformers 4.57.x) and never uses
+`trust_remote_code`. The upstream READMEs are replaced by this card.
+
+## Loading
+
+With the upstream code (the model repos carry it):
+
+```python
+from transformers import AutoModel, AutoProcessor
+processor = AutoProcessor.from_pretrained("OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5",
+                                          trust_remote_code=True)
+model = AutoModel.from_pretrained("AEmotionStudio/moss-tts-models", subfolder="local_v15/model",
+                                  trust_remote_code=True, torch_dtype="bfloat16")
+```
+
+Inside MAESTRO: `backend/ai/models/moss_tts.py` (one runner, both lanes;
+codec halves via `ai/moss_tts_vendor/audio_tokenizer_v2/loading.py` and
+`ai/moss_tts_vendor/audio_tokenizer/loading.py`).
+
+## License
+
+Apache License 2.0 — © OpenMOSS / Fudan University. This mirror adds no
+restrictions and claims no ownership. Please cite the upstream projects.

local_v15/codec/config.json

@@ -0,0 +1,416 @@
+{
+  "architectures": [
+    "MossAudioTokenizerModel"
+  ],
+  "auto_map": {
+    "AutoConfig": "configuration_moss_audio_tokenizer.MossAudioTokenizerConfig",
+    "AutoModel": "modeling_moss_audio_tokenizer.MossAudioTokenizerModel"
+  },
+  "model_type": "moss-audio-tokenizer",
+  "sample_rate": 48000,
+  "sampling_rate": 48000,
+  "downsample_rate": 3840,
+  "causal_transformer_context_duration": 10.0,
+  "number_channels": 2,
+  "enable_channel_interleave": true,
+  "attention_implementation": "flash_attention_2",
+  "compute_dtype": "bf16",
+  "dtype": "float32",
+  "code_dim": 768,
+  "encoder_kwargs": [
+    {
+      "module_type": "PatchedPretransform",
+      "patch_size": 240
+    },
+    {
+      "module_type": "Transformer",
+      "input_dimension": 240,
+      "output_dimension": 384,
+      "d_model": 768,
+      "num_heads": 12,
+      "num_layers": 12,
+      "dim_feedforward": 3072,
+      "causal": true,
+      "norm": "layer_norm",
+      "positional_embedding": "rope",
+      "max_period": 10000,
+      "gating": "none",
+      "layer_scale": 0.01,
+      "conv_layout": true,
+      "context_duration": 1.0
+    },
+    {
+      "module_type": "PatchedPretransform",
+      "patch_size": 2
+    },
+    {
+      "module_type": "Transformer",
+      "input_dimension": 768,
+      "output_dimension": 384,
+      "d_model": 768,
+      "num_heads": 12,
+      "num_layers": 12,
+      "dim_feedforward": 3072,
+      "causal": true,
+      "norm": "layer_norm",
+      "positional_embedding": "rope",
+      "max_period": 10000,
+      "gating": "none",
+      "layer_scale": 0.01,
+      "conv_layout": true,
+      "context_duration": 2.0
+    },
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+      "patch_size": 2
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+      "output_dimension": 384,
+      "d_model": 768,
+      "num_heads": 12,
+      "num_layers": 12,
+      "dim_feedforward": 3072,
+      "causal": true,
+      "norm": "layer_norm",
+      "positional_embedding": "rope",
+      "max_period": 10000,
+      "gating": "none",
+      "layer_scale": 0.01,
+      "conv_layout": true,
+      "context_duration": 4.0
+    },
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+      "patch_size": 2
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+    },
+    {
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+      "patch_size": 2
+    },
+    {
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+      "output_dimension": 768,
+      "d_model": 1280,
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+    },
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+      "norm": "layer_norm",
+      "positional_embedding": "rope",
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+      "gating": "none",
+      "layer_scale": 0.01,
+      "conv_layout": true,
+      "context_duration": 10.0
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+      "patch_size": 2
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+      "d_model": 768,
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+      "num_layers": 12,
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+      "patch_size": 2
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+      "module_type": "Transformer",
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+      "num_layers": 12,
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+      "context_duration": 10.0
+    },
+    {
+      "module_type": "PatchedPretransform",
+      "patch_size": 2
+    },
+    {
+      "module_type": "Transformer",
+      "input_dimension": 1280,
+      "output_dimension": 768,
+      "d_model": 1280,
+      "num_heads": 20,
+      "num_layers": 32,
+      "dim_feedforward": 5120,
+      "causal": true,
+      "norm": "layer_norm",
+      "positional_embedding": "rope",
+      "max_period": 10000,
+      "gating": "none",
+      "layer_scale": 0.01,
+      "conv_layout": true,
+      "context_duration": 10.0
+    }
+  ],
+  "quantizer_type": "rlfq",
+  "quantizer_kwargs": {
+    "input_dim": 768,
+    "rvq_dim": 512,
+    "output_dim": 768,
+    "num_quantizers": 32,
+    "codebook_size": 1024,
+    "codebook_dim": 8,
+    "quantizer_type": "rlfq"
+  },
+  "transformers_version": "4.56.0.dev0",
+  "codec_weight_dtype": "bf16"
+}

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+size 2122467904

local_v15/codec/encoder.safetensors

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+oid sha256:e574dd890f7f744c26be00f67ffe5c22fb46bf3820fc14048c3006bedf2347d0
+size 2122467840

local_v15/codec/quantizer.safetensors

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local_v15/model/added_tokens.json

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+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|audio_end|>": 151670,
+  "<|audio_pad|>": 151671,
+  "<|audio_start|>": 151669,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

local_v15/model/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

local_v15/model/config.json

@@ -0,0 +1,381 @@
+{
+  "model_type": "moss_tts_local",
+  "architectures": [
+    "MossTTSLocalModel"
+  ],
+  "auto_map": {
+    "AutoConfig": "configuration_moss_tts.MossTTSLocalConfig",
+    "AutoModel": "modeling_moss_tts.MossTTSLocalModel",
+    "AutoProcessor": "processing_moss_tts.MossTTSLocalProcessor"
+  },
+  "processor_class": "MossTTSLocalProcessor",
+  "qwen3_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": [
+      "Qwen3ForCausalLM"
+    ],
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+    "attention_dropout": 0.0,
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+    "bos_token_id": 151643,
+    "chunk_size_feed_forward": 0,
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dtype": "bfloat16",
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 151643,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "gradient_checkpointing_use_reentrant": false,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 9728,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_types": [
+      "full_attention",
+      "full_attention",
+      "full_attention",
+      "full_attention",
+      "full_attention",
+      "full_attention",
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+    "num_key_value_heads": 8,
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+    "output_scores": false,
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+    "pruned_heads": {},
+    "remove_invalid_values": false,
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+    "rope_theta": 1000000,
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+  "audio_vocab_size": 1024,
+  "audio_codebook_sizes": [
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+  "audio_pad_code": 1024,
+  "pad_token_id": 151643,
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+  "im_end_token_id": 151645,
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+  "audio_end_token_id": 151670,
+  "audio_user_slot_token_id": 151654,
+  "audio_assistant_slot_token_id": 151656,
+  "audio_assistant_gen_slot_token_id": 151656,
+  "sampling_rate": 48000,
+  "audio_tokenizer_name_or_path": "OpenMOSS-Team/MOSS-Audio-Tokenizer-v2",
+  "attn_implementation": "flash_attention_2",
+  "local_transformer_layers": 1,
+  "local_text_head_mode": "binary",
+  "use_static_local_kv_cache": true,
+  "initializer_range": 0.02
+}

local_v15/model/model.safetensors

@@ -0,0 +1,3 @@
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+size 9100859544

local_v15/model/processor_config.json

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+{
+  "processor_class": "MossTTSLocalProcessor",
+  "audio_tokenizer_name_or_path": "OpenMOSS-Team/MOSS-Audio-Tokenizer-v2",
+  "auto_map": {
+    "AutoProcessor": "processing_moss_tts.MossTTSLocalProcessor"
+  }
+}

local_v15/model/special_tokens_map.json

@@ -0,0 +1,21 @@
+{
+  "additional_special_tokens": [
+    "<|audio_start|>",
+    "<|audio_end|>",
+    "<|audio_pad|>"
+  ],
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local_v15/model/tokenizer.json

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local_v15/model/tokenizer_config.json

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+    }
+  },
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+    "<|audio_end|>",
+    "<|audio_pad|>"
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}