Synchronize canonical AI-radio asset payload.

.phorcys-artifact-provenance.json

@@ -0,0 +1,16 @@
+{
+  "SchemaVersion": "phorcys.artifact-provenance.v1",
+  "RepositoryId": "stokiz/voxcpm2-python-models",
+  "AssetId": "voxcpm2-python-models",
+  "ProjectName": "Phorcys.Tools.VoxCPM2ModelsUploader",
+  "LaunchProfileName": "voxcpm2-python-models-prepare",
+  "Variant": "Shared",
+  "TargetDatasetSlug": "voxcpm2-python-models",
+  "ProducerFingerprint": "fbf6d33d69a26902e640aaf4f361bbd1ce1dacbc0846eb1cb4d25aad27f69c3a",
+  "PayloadContentSha256": "d818c2b601aa0c4f768313aac91c86497b2f73c8095aabb47feb2ffb32f5180e",
+  "PayloadFileCount": 9,
+  "PayloadBytes": 4960725319,
+  "PreparedUtc": "2026-09-08T05:15:10.5892301+00:00",
+  "SourceMode": "local",
+  "KaggleEnvironmentBaseline": "kaggle-gpu-v170-2026-06-29"
+}

payload/README.md

@@ -0,0 +1,12 @@
+# VoxCPM2 Python models
+
+This Kaggle dataset contains OpenBMB VoxCPM2 Hugging Face model files.
+
+- Source repository: `openbmb/VoxCPM2`
+- Revision: `main`
+- Layout: `official`
+- Required backend: `official-python`
+- Default model file: `model.safetensors`
+- Files: 8
+
+The runner expects the full directory to be mounted as a Kaggle input dataset. HF/Nano-vLLM/vLLM-Omni layouts are discovered by `config.json`, `model.safetensors`, and `audiovae.pth` or `audiovae.safetensors`; GGUF layouts are discovered by `.gguf`; ONNX layouts are discovered by `.onnx` files and their adjacent `.onnx.data` external-data files.

payload/audiovae.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94b5d51e107e0507d4acc976cfdadb64edd6fd06d1f751dadbf2fd1594274bf1
+size 376951122

payload/config.json

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+{
+    "architecture": "voxcpm2",
+    "lm_config": {
+        "bos_token_id": 1,
+        "eos_token_id": 2,
+        "hidden_size": 2048,
+        "intermediate_size": 6144,
+        "max_position_embeddings": 32768,
+        "num_attention_heads": 16,
+        "num_hidden_layers": 28,
+        "num_key_value_heads": 2,
+        "rms_norm_eps": 1e-05,
+        "rope_theta": 10000,
+        "kv_channels": 128,
+        "rope_scaling": {
+            "type": "longrope", 
+            "long_factor": [0.9977997200264581, 1.014658295992452, 1.0349680404997148, 1.059429246056193, 1.0888815016813513, 1.1243301355211495, 1.166977103606075, 1.2182568066927284, 1.2798772354275727, 1.3538666751582975, 1.4426259039919596, 1.5489853358570191, 1.6762658237220625, 1.8283407612492941, 2.0096956085876183, 2.225478927469756, 2.481536379650452, 2.784415934557119, 3.1413289096347365, 3.560047844772632, 4.048719380066383, 4.615569542115128, 5.2684819496549835, 6.014438591970396, 6.858830049237097, 7.804668263503327, 8.851768731513417, 9.99600492938444, 11.228766118181639, 12.536757560834843, 13.902257701387796, 15.303885189125953, 16.717837610115794, 18.119465097853947, 19.484965238406907, 20.792956681060105, 22.02571786985731, 23.16995406772833, 24.217054535738416, 25.16289275000465, 26.007284207271347, 26.753240849586767, 27.40615325712662, 27.973003419175363, 28.461674954469114, 28.880393889607006, 29.237306864684626, 29.540186419591297, 29.79624387177199, 30.01202719065413, 30.193382037992453, 30.34545697551969, 30.47273746338473, 30.579096895249787, 30.66785612408345, 30.741845563814174, 30.80346599254902, 30.85474569563567, 30.897392663720595, 30.932841297560394, 30.962293553185553, 30.986754758742034, 31.007064503249293, 31.02392307921529],
+            "short_factor": [0.9977997200264581, 1.014658295992452, 1.0349680404997148, 1.059429246056193, 1.0888815016813513, 1.1243301355211495, 1.166977103606075, 1.2182568066927284, 1.2798772354275727, 1.3538666751582975, 1.4426259039919596, 1.5489853358570191, 1.6762658237220625, 1.8283407612492941, 2.0096956085876183, 2.225478927469756, 2.481536379650452, 2.784415934557119, 3.1413289096347365, 3.560047844772632, 4.048719380066383, 4.615569542115128, 5.2684819496549835, 6.014438591970396, 6.858830049237097, 7.804668263503327, 8.851768731513417, 9.99600492938444, 11.228766118181639, 12.536757560834843, 13.902257701387796, 15.303885189125953, 16.717837610115794, 18.119465097853947, 19.484965238406907, 20.792956681060105, 22.02571786985731, 23.16995406772833, 24.217054535738416, 25.16289275000465, 26.007284207271347, 26.753240849586767, 27.40615325712662, 27.973003419175363, 28.461674954469114, 28.880393889607006, 29.237306864684626, 29.540186419591297, 29.79624387177199, 30.01202719065413, 30.193382037992453, 30.34545697551969, 30.47273746338473, 30.579096895249787, 30.66785612408345, 30.741845563814174, 30.80346599254902, 30.85474569563567, 30.897392663720595, 30.932841297560394, 30.962293553185553, 30.986754758742034, 31.007064503249293, 31.02392307921529],
+            "original_max_position_embeddings": 32768
+        },    
+        "vocab_size": 73448,
+        "use_mup": false,
+        "scale_emb": 12,
+        "dim_model_base": 256,
+        "scale_depth": 1.4
+    },
+    "patch_size": 4,
+    "feat_dim": 64,
+    "scalar_quantization_latent_dim": 512,
+    "scalar_quantization_scale": 9,
+    "residual_lm_num_layers": 8,
+    "residual_lm_no_rope": true,
+    "encoder_config": {
+        "hidden_dim": 1024,
+        "ffn_dim": 4096,
+        "num_heads": 16,
+        "num_layers": 12,
+        "kv_channels": 128
+    },
+    "dit_config": {
+        "hidden_dim": 1024,
+        "ffn_dim": 4096,
+        "num_heads": 16,
+        "num_layers": 12,
+        "kv_channels": 128,
+        "mean_mode": false,
+        "cfm_config": {
+            "sigma_min": 1e-06,
+            "solver": "euler",
+            "t_scheduler": "log-norm",
+            "inference_cfg_rate": 2.0
+        }
+    },
+    "audio_vae_config": {
+        "encoder_dim": 128,
+        "encoder_rates": [2, 5, 8, 8],
+        "latent_dim": 64,
+        "decoder_dim": 2048,
+        "decoder_rates": [8, 6, 5, 2, 2, 2],
+        "sr_bin_boundaries": [20000, 30000, 40000],
+        "sample_rate": 16000,
+        "out_sample_rate": 48000
+    },
+    "max_length": 8192,
+    "device": "cuda",
+    "dtype": "bfloat16"
+}

payload/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f7f964cfa9da23653baec6e6f7750719977ad944ed9f95fe52fe3a620506891d
+size 4580080592

payload/special_tokens_map.json

@@ -0,0 +1,81 @@
+{
+  "additional_special_tokens": [
+    {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|tool_call|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|execute_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|execute_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

payload/tokenization_voxcpm2.py

@@ -0,0 +1,72 @@
+"""Custom tokenizer for VoxCPM2 that splits multi-character Chinese tokens.
+
+VoxCPM2 was trained with ``mask_multichar_chinese_tokens`` which splits
+multi-character Chinese tokens (e.g. "你好" -> ["你", "好"]) into individual
+character IDs before embedding.  The base LlamaTokenizerFast produces
+multi-character Chinese tokens that the model has never seen during training,
+yielding garbled Chinese audio output in downstream inference frameworks.
+
+This module provides ``VoxCPM2Tokenizer`` which transparently applies the
+character splitting inside ``encode()`` and ``__call__()``, so any downstream
+consumer (vLLM, vLLM-Omni, Nano-vLLM, etc.) gets correct single-character
+IDs without code changes.
+"""
+
+from transformers import LlamaTokenizerFast
+
+
+class VoxCPM2Tokenizer(LlamaTokenizerFast):
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._split_map = self._build_split_map()
+
+    def _build_split_map(self) -> dict[int, list[int]]:
+        vocab = self.get_vocab()
+        split_map: dict[int, list[int]] = {}
+        for token, tid in vocab.items():
+            clean = token.replace("\u2581", "")
+            if len(clean) >= 2 and all(self._is_cjk(c) for c in clean):
+                char_ids = self.convert_tokens_to_ids(list(clean))
+                if all(c != self.unk_token_id for c in char_ids):
+                    split_map[tid] = char_ids
+        return split_map
+
+    @staticmethod
+    def _is_cjk(c: str) -> bool:
+        return (
+            "\u4e00" <= c <= "\u9fff"
+            or "\u3400" <= c <= "\u4dbf"
+            or "\uf900" <= c <= "\ufaff"
+            or "\U00020000" <= c <= "\U0002a6df"
+        )
+
+    def _expand_ids(self, ids: list[int]) -> list[int]:
+        result: list[int] = []
+        for tid in ids:
+            expansion = self._split_map.get(tid)
+            if expansion is not None:
+                result.extend(expansion)
+            else:
+                result.append(tid)
+        return result
+
+    def encode(self, text, *args, **kwargs):
+        ids = super().encode(text, *args, **kwargs)
+        return self._expand_ids(ids)
+
+    def __call__(self, text, *args, **kwargs):
+        result = super().__call__(text, *args, **kwargs)
+        if hasattr(result, "input_ids"):
+            ids = result["input_ids"]
+            if isinstance(ids, list) and ids and isinstance(ids[0], list):
+                result["input_ids"] = [self._expand_ids(x) for x in ids]
+                if "attention_mask" in result:
+                    result["attention_mask"] = [
+                        [1] * len(x) for x in result["input_ids"]
+                    ]
+            elif isinstance(ids, list):
+                result["input_ids"] = self._expand_ids(ids)
+                if "attention_mask" in result:
+                    result["attention_mask"] = [1] * len(result["input_ids"])
+        return result

payload/tokenizer_config.json

@@ -0,0 +1,218 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "<|audio_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "<|audio_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "<|audio_prompt_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "104": {
+      "content": "<|audio_prompt_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "105": {
+      "content": "<|background|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "106": {
+      "content": "<|/background|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "107": {
+      "content": "<|characters|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "108": {
+      "content": "<|/characters|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "109": {
+      "content": "<|speaker_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "110": {
+      "content": "<|/speaker_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "111": {
+      "content": "<|span|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "112": {
+      "content": "<|/span|>",
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+    },
+    "73440": {
+      "content": "<|im_end|>",
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+    },
+    "73441": {
+      "content": "<|im_start|>",
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+      "single_word": false,
+      "special": true
+    },
+    "73442": {
+      "content": "<|tool_call|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "73443": {
+      "content": "<|execute_start|>",
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+      "special": true
+    },
+    "73444": {
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+      "lstrip": false,
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+      "special": true
+    },
+    "73445": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "73446": {
+      "content": "<|fim_middle|>",
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+      "normalized": false,
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+      "special": true
+    },
+    "73447": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_end|>",
+    "<|im_start|>",
+    "<|tool_call|>",
+    "<|execute_start|>",
+    "<|execute_end|>",
+    "<|fim_prefix|>",
+    "<|fim_middle|>",
+    "<|fim_suffix|>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "VoxCPM2Tokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "auto_map": {
+    "AutoTokenizer": [
+      "tokenization_voxcpm2.VoxCPM2Tokenizer",
+      null
+    ]
+  }
+}

payload/voxcpm2_models_manifest.json

@@ -0,0 +1,70 @@
+{
+  "SchemaVersion": 2,
+  "CreatedUtc": "2026-09-08T05:15:02.4579296\u002B00:00",
+  "Layout": "official",
+  "RequiredBackend": "official-python",
+  "ContainsCommunitySidecars": false,
+  "ContainsPortableRuntime": false,
+  "DefaultModelFile": "model.safetensors",
+  "SourceRepository": "openbmb/VoxCPM2",
+  "Revision": "main",
+  "KaggleDatasetRef": "/voxcpm2-python-models",
+  "Files": [
+    {
+      "SourcePath": "README.md",
+      "PayloadPath": "README.md",
+      "Kind": "documentation",
+      "Bytes": 7939,
+      "Sha256": "c18d2ffbfb2f0aec770481c967842aee6c200cde65f6b033efd892a849986fda"
+    },
+    {
+      "SourcePath": "audiovae.pth",
+      "PayloadPath": "audiovae.pth",
+      "Kind": "audio-vae-weight",
+      "Bytes": 376951122,
+      "Sha256": "94b5d51e107e0507d4acc976cfdadb64edd6fd06d1f751dadbf2fd1594274bf1"
+    },
+    {
+      "SourcePath": "config.json",
+      "PayloadPath": "config.json",
+      "Kind": "config",
+      "Bytes": 4336,
+      "Sha256": "405f0dcd92f7feba6011ed4eac5c8d4f74cba9712f07fd5cfa3063bbdd95402c"
+    },
+    {
+      "SourcePath": "model.safetensors",
+      "PayloadPath": "model.safetensors",
+      "Kind": "weight",
+      "Bytes": 4580080592,
+      "Sha256": "f7f964cfa9da23653baec6e6f7750719977ad944ed9f95fe52fe3a620506891d"
+    },
+    {
+      "SourcePath": "special_tokens_map.json",
+      "PayloadPath": "special_tokens_map.json",
+      "Kind": "support",
+      "Bytes": 1632,
+      "Sha256": "068594063e37662c02b21acf42ebb334ef6a74fb810e68a2368f88f08351de76"
+    },
+    {
+      "SourcePath": "tokenization_voxcpm2.py",
+      "PayloadPath": "tokenization_voxcpm2.py",
+      "Kind": "remote-code",
+      "Bytes": 2895,
+      "Sha256": "84489ea32b6ee0cae22ed5480cacb6df85c46624c3119be9a2021c3649a12729"
+    },
+    {
+      "SourcePath": "tokenizer.json",
+      "PayloadPath": "tokenizer.json",
+      "Kind": "tokenizer",
+      "Bytes": 3676772,
+      "Sha256": "f8984687e4a92a3503d521396d454b7d68e9fdaab2a0288eb3536c7c1aa4bc20"
+    },
+    {
+      "SourcePath": "tokenizer_config.json",
+      "PayloadPath": "tokenizer_config.json",
+      "Kind": "tokenizer",
+      "Bytes": 5059,
+      "Sha256": "e78a3ebb48a0b9437efd1823b6b726c823da89e49dd8bcc90c02419d9baa772b"
+    }
+  ]
+}