Publish model bundles

.gitattributes

@@ -33,3 +33,130 @@ 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
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LICENSE

@@ -0,0 +1,201 @@
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NOTICE

@@ -0,0 +1,15 @@
+Independent Core AI conversion of openbmb/VoxCPM2 by the Tinkerbox project.
+Upstream checkpoint: https://huggingface.co/openbmb/VoxCPM2
+Revision: 32279effe8c19989596f05d353d1447f51d9e915
+Upstream code: https://github.com/OpenBMB/VoxCPM
+Code revision: cce58a5b59303c9bd63d12f23afe6a49a4a80c59
+
+VoxCPM2 checkpoint, derived weights and upstream code are licensed Apache-2.0
+(LICENSE). The conversion uses FP16 Core AI assets for the main MiniCPM model,
+per-channel INT8 weights for the residual model, local encoder and local
+diffusion transformer, FP16 activations throughout, and fused CFG-Zero* Euler
+steps. The model has not been retrained. Tokenization, small projections,
+scalar quantization and the AudioVAE V2 decoder run on CPU; the bundled
+checkpoint folder carries these CPU weights and the tokenizer.
+
+This project is not affiliated with or endorsed by OpenBMB or ModelBest.

README.md

@@ -0,0 +1,122 @@
+---
+license: apache-2.0
+base_model: openbmb/VoxCPM2
+pipeline_tag: text-to-speech
+library_name: coreai
+tags:
+  - voxcpm2
+  - voice-cloning
+  - voice-design
+  - tts
+  - apple
+  - coreai
+  - ane
+  - apple-neural-engine
+  - fp16
+  - tinkerbox
+---
+
+# VoxCPM2 on Apple Neural Engine
+
+Core AI conversion of [openbmb/VoxCPM2](https://huggingface.co/openbmb/VoxCPM2) for multilingual 48 kHz speech synthesis, voice design, reference cloning, and audio continuation, using [tinkerbox-ane](https://github.com/WeGoToMars/tinkerbox).
+
+The MiniCPM main and residual language models, the local audio encoder, and the local diffusion transformer run fully on the ANE. Tokenization, small projections, scalar quantization, and the AudioVAE V2 decoder run on the CPU while your GPU stays idle and cool 😎❄️.
+
+Requires macOS 27, Apple Silicon M1–M6, and Python 3.12 or 3.13. A lookup-table variant that uses less memory is published as [VoxCPM2-LUT8-CoreAI-ANE](https://huggingface.co/wegotomars/VoxCPM2-LUT8-CoreAI-ANE).
+
+## Usage
+
+Install `tinkerbox-ane[speech]>=2.2.0`. The downloader fetches only this Mac's bundle: its `checkpoint` folder carries the tokenizer, configuration, CPU lookup tables, and AudioVAE weights.
+
+Generate speech and save it as WAV:
+
+```python
+import soundfile as sf
+from tinkerbox_ane import voxcpm2
+from tinkerbox_ane.bundle import download_bundle
+
+bundle = download_bundle("voxcpm2", "wegotomars/VoxCPM2-CoreAI-ANE", "v2.2.0")
+with voxcpm2.load(bundle) as model:
+    audio = model.generate("Hello! Welcome to Tinkerbox.", seed=42)[0]
+    sf.write("speech.wav", audio, model.sampling_rate)
+```
+
+Design a voice from a description, or clone one from a recording:
+
+```python
+with voxcpm2.load(bundle) as model:
+    designed = model.generate("A familiar voice can tell a new story.",
+                              mode="design", instruct="A warm, calm female voice", seed=7)[0]
+    voice = model.create_voice_clone_prompt("reference.m4a", mode="clone")
+    voice.save("voice.pt")
+    cloned = model.generate("A new sentence in the same voice.",
+                            mode="clone", voice_clone_prompt=voice, seed=23)[0]
+```
+
+`mode="continuation"` continues the reference recording and needs its transcript (`ref_text=`); without one, the transcript comes from Apple's on-device speech recognition. `mode="clone_continuation"` combines both. Language is detected from the text.
+
+Play speech while it is generated; the pieces join into exactly what `generate` returns:
+
+```python
+with voxcpm2.load(bundle) as model:
+    for piece in model.stream("Playback can begin with the first words.", seed=42):
+        ...  # float32 pieces at model.sampling_rate
+```
+
+Text, reference audio, and generated audio share an 8,192-position context, as in the original model; each generated position is 160 ms of audio.
+
+## Supported architectures
+
+| Architecture | SoC name |
+| --- | --- |
+| `h13g` | Apple M1 |
+| `h13s` | Apple M1 Pro |
+| `h13c` | Apple M1 Max |
+| `h13d` | Apple M1 Ultra |
+| `h14g` | Apple M2 |
+| `h14s` | Apple M2 Pro |
+| `h14c` | Apple M2 Max |
+| `h14d` | Apple M2 Ultra |
+| `h15g` | Apple M3 |
+| `h15s` | Apple M3 Pro |
+| `h15m` | Apple M3 Max (14-core CPU) |
+| `h15c` | Apple M3 Max (16-core CPU) |
+| `h15d` | Apple M3 Ultra |
+| `h16g` | Apple M4 |
+| `h16s` | Apple M4 Pro |
+| `h16c` | Apple M4 Max |
+| `h17g` | Apple M5 |
+| `h17s` | Apple M5 Pro |
+| `h17c` | Apple M5 Max |
+| `h17d` | Apple M5 Ultra |
+| `h18g` | Apple M6 |
+
+## Benchmarks
+
+Measured October 26, 2026 on Apple M5 Pro (`h17s`, 24 GiB), macOS 27.0.1, warm. Real-time multiplier is audio duration divided by generation time (higher is faster); RTF is its inverse (lower is faster).
+
+| Request | Audio | Generation time | Real-time multiplier | RTF | ANE energy |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| Greeting, automatic voice | 4.5 s | 1.21 s | 3.7× | 0.27 | 2.6 J |
+| Short reference clone | 3.8 s | 1.04 s | 3.7× | 0.27 | 2.1 J |
+| Long passage, automatic voice | 21.9 s | 5.73 s | 3.8× | 0.26 | 10.7 J |
+
+| Memory | Peak |
+| --- | ---: |
+| Wired, including ANE weights | 3.9 GiB |
+| Python process | 0.46 GiB |
+
+Streaming playback starts after 0.26 s for a short greeting and 0.32 s for a 51-second passage.
+
+## Accuracy
+
+Compared with the original VoxCPM2 in CPU FP16 on identical inputs:
+
+| Check | Result |
+| --- | --- |
+| Main-model prefill and decode, cosine | ≥ 0.99998 |
+| Diffusion output, cosine | ≥ 0.9996 |
+| Cache growth through 8,192 positions, cosine | 0.99999 |
+| 16-clip transcription, mean character error | 0.028 |
+
+Original checkpoint: `openbmb/VoxCPM2@32279effe8c19989596f05d353d1447f51d9e915`. Weights, converted assets, and upstream code are [Apache-2.0](LICENSE). See [NOTICE](NOTICE).

config.json

@@ -0,0 +1,33 @@
+{
+  "version": 2,
+  "source_hashes": [
+    "77eeab90bdc14a67e8f64cdc6f6334bc2e836e89ac371a05f7a8378a26748a7a",
+    "b27c94815d18e8a9ace3ebc5a9e4a18537207c43039444f7e8d000f1b3799872",
+    "47f8551796d4dd9286ebd3fed909bcf23ddd5cfcf47abfa866c6e5e39e0b2b0b",
+    "e0897a33420e0378f641252962b3d3c5279511309bf1c3351d768d893845920a"
+  ],
+  "checkpoint_hash": "4aad702113e9627b943d7b6e45d1f0d4575cf37725ed85ae62fb180f529a2e39",
+  "bundles": {
+    "h18g": "macos27/h18g/model.json",
+    "h17d": "macos27/h17d/model.json",
+    "h17c": "macos27/h17c/model.json",
+    "h17s": "macos27/h17s/model.json",
+    "h17g": "macos27/h17g/model.json",
+    "h16c": "macos27/h16c/model.json",
+    "h16s": "macos27/h16s/model.json",
+    "h16g": "macos27/h16g/model.json",
+    "h15d": "macos27/h15d/model.json",
+    "h15c": "macos27/h15c/model.json",
+    "h15m": "macos27/h15m/model.json",
+    "h15s": "macos27/h15s/model.json",
+    "h15g": "macos27/h15g/model.json",
+    "h14d": "macos27/h14d/model.json",
+    "h14c": "macos27/h14c/model.json",
+    "h14s": "macos27/h14s/model.json",
+    "h14g": "macos27/h14g/model.json",
+    "h13d": "macos27/h13d/model.json",
+    "h13c": "macos27/h13c/model.json",
+    "h13s": "macos27/h13s/model.json",
+    "h13g": "macos27/h13g/model.json"
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+}

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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "73446": {
+      "content": "<|fim_middle|>",
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "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
+    ]
+  }
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+{
+    "ANECompiler": "10.26.4",
+    "LLIRVersion": "0.1b",
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+        }
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+}

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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+	<key>Package Version</key>
+	<dict>
+		<key>7.0.63</key>
+		<dict>
+			<key>ANERegionsHash</key>
+			<dict>
+				<key>h13c</key>
+				<string>64EF9A3E10B4E61C96813119F5669752F70ADBAD2893CE5D43C33593A875DD09_87B22B743C5C7BA2EFCF19E351AFFC7B7354E479B7D1F42EDDF17018465CB017</string>
+			</dict>
+			<key>Adapters by rank</key>
+			<dict/>
+			<key>Binary File Resources</key>
+			<dict>
+				<key>0</key>
+				<dict>
+					<key>File Name</key>
+					<string>binary_0.llir.bundle</string>
+					<key>Type</key>
+					<integer>2</integer>
+				</dict>
+			</dict>
+			<key>Callables</key>
+			<dict/>
+			<key>CallablesHash</key>
+			<integer>0</integer>
+			<key>Data File Names</key>
+			<array/>
+			<key>GPU adapter present</key>
+			<string>NO</string>
+			<key>Optimized Modules</key>
+			<dict>
+				<key>[
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+]</key>
+				<dict>
+					<key>Entry Function Attributes</key>
+					<dict>
+						<key>voxcpm2_dit_pair_NWhDslb_9Hi5tBCG6RLoXA_0</key>
+						<array>
+							<dict>
+								<key>mps.ane.calleeName</key>
+								<string>voxcpm2_dit_pair_NWhDslb_9Hi5tBCG6RLoXA_0_ANE_region_0_0</string>
+							</dict>
+							<dict>
+								<key>mps.ane.regionCallArgToEntrypointArgIndex</key>
+								<array>
+									<integer>0</integer>
+									<integer>1</integer>
+									<integer>2</integer>
+									<integer>3</integer>
+								</array>
+							</dict>
+							<dict>
+								<key>mps.ane.regionCallResultToEntrypointReturnIndex</key>
+								<array>
+									<integer>0</integer>
+								</array>
+							</dict>
+							<string>mps.aneAlignedIO</string>
+							<string>mps.disablePreAllocate</string>
+							<string>mps.fullyPlacedOnANE</string>
+							<string>mps.noGPUActivity</string>
+						</array>
+						<key>voxcpm2_dit_steps1_crlHZWVlMG0hqMx_VDTUJQ_1</key>
+						<array>
+							<dict>
+								<key>mps.ane.calleeName</key>
+								<string>voxcpm2_dit_steps1_crlHZWVlMG0hqMx_VDTUJQ_1_ANE_region_0_0</string>
+							</dict>
+							<dict>
+								<key>mps.ane.regionCallArgToEntrypointArgIndex</key>
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+									<integer>4</integer>
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+									<integer>6</integer>
+									<integer>7</integer>
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+							<dict>
+								<key>mps.ane.regionCallResultToEntrypointReturnIndex</key>
+								<array>
+									<integer>0</integer>
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+							<string>mps.disablePreAllocate</string>
+							<string>mps.fullyPlacedOnANE</string>
+							<string>mps.noGPUActivity</string>
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+						<key>voxcpm2_dit_steps3_KedtUW_Hw1wOOmRgqTY6Dw_2</key>
+						<array>
+							<dict>
+								<key>mps.ane.calleeName</key>
+								<string>voxcpm2_dit_steps3_KedtUW_Hw1wOOmRgqTY6Dw_2_ANE_region_0_0</string>
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+								<key>mps.ane.regionCallResultToEntrypointReturnIndex</key>
+								<array>
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+								</array>
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+							<string>mps.disablePreAllocate</string>
+							<string>mps.fullyPlacedOnANE</string>
+							<string>mps.noGPUActivity</string>
+						</array>
+						<key>voxcpm2_dit_steps9_OYJiHPcnAaBWOPmufvRMkQ_3</key>
+						<array>
+							<dict>
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+								<string>voxcpm2_dit_steps9_OYJiHPcnAaBWOPmufvRMkQ_3_ANE_region_0_0</string>
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+							<string>mps.fullyPlacedOnANE</string>
+							<string>mps.noGPUActivity</string>
+						</array>
+					</dict>
+					<key>File Name</key>
+					<string>specialized_model_1.mpsgraph</string>
+					<key>Key to Symbol Name</key>
+					<dict>
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macos27/h13c/encoder.h13c.aimodelc/main-h13c-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/original_model_0.mpsgraph

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