VoxCPM (en, es, hi, ja, ru, zh)

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en,zh/VoxCPM/README.md

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+---
+license: mit
+language:
+- en
+- zh
+base_model:
+- VoxCPM
+pipeline_tag: text-to-speech
+library_name: transformers
+tags:
+- VoxCPM
+- Speech
+---
+
+# VoxCPM  
+This version of VoxCPM has been converted to run on the Axera NPU using **w8a16** quantization.
+Compatible with Pulsar2 version: 4.2
+
+## Convert tools links:
+For those who are interested in model conversion, you can try to export axmodel through the original repo : 
+[VoxCPM offical](https://github.com/OpenBMB/VoxCPM/)
+
+[Pulsar2 Link, How to Convert LLM from Huggingface to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/appendix/build_llm.html) 
+
+[AXera NPU HOST LLM Runtime](https://github.com/AXERA-TECH/VoxCPM.Axera) 
+
+## Support Platform
+
+- AX650
+  - AX650N DEMO Board
+  - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
+  - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
+
+
+
+## How to use
+
+Download all files from this repository to the device  
+### 1. Run python demo  
+
+#### 1. Install voxcpm axinfer package  
+```
+git clone -b 1.0.4-axmode_infer https://github.com/techshoww/VoxCPM.git 
+cd VoxCPM
+pip3 install .
+```
+
+#### 2. Download zipenhancer
+```
+pip3 install modelscope  
+modelscope download --model iic/speech_zipenhancer_ans_multiloss_16k_base --local_dir iic/speech_zipenhancer_ans_multiloss_16k_base
+```
+
+#### 3. Run on Axera Device    
+Go to the root directory of this project.  run:  
+```
+python3 run_ax650.py
+```
+
+### 2. Run c++ demo  
+
+#### 1. Install transformers
+```
+pip3 install transformers>=4.56.2
+```
+
+#### 2. Start tokenizer server  
+```
+python3 tokenizer.py --port 9999
+```
+
+#### 3. Run c++ demo  
+```
+bash run_ax650.sh
+```

en,zh/VoxCPM/VoxCPM-0.5B/config.json

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+{
+    "architecture": "voxcpm",
+    "lm_config": {
+        "bos_token_id": 1,
+        "eos_token_id": 2,
+        "hidden_size": 1024,
+        "intermediate_size": 4096,
+        "max_position_embeddings": 32768,
+        "num_attention_heads": 16,
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+        },    
+        "vocab_size": 73448,
+        "scale_emb": 12,
+        "dim_model_base": 256,
+        "scale_depth": 1.4,
+        "use_mup": false
+    },
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+    "feat_dim": 64,
+    "scalar_quantization_latent_dim": 256,
+    "scalar_quantization_scale": 9,
+    "residual_lm_num_layers": 6,
+    "encoder_config": {
+        "hidden_dim": 1024,
+        "ffn_dim": 4096,
+        "num_heads": 16,
+        "num_layers": 4
+    },
+    "dit_config": {
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+        "ffn_dim": 4096,
+        "num_heads": 16,
+        "num_layers": 4,
+        "cfm_config": {
+            "sigma_min": 1e-06,
+            "solver": "euler",
+            "t_scheduler": "log-norm",
+            "inference_cfg_rate": 2.0
+        }
+    },
+    "max_length": 4096,
+    "device": "cuda",
+    "dtype": "bfloat16"
+}

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+{
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+  }
+}

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+    "<|tool_call|>",
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+    "<|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,
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+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "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 %}"
+}

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+Because he has zero capacity to respond to the two and a half hour

en,zh/VoxCPM/assets/en_woman1.txt

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+But many of these southern girls have the same trouble, said Holly.

en,zh/VoxCPM/assets/zh_man1.txt

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+南方高温卷土重来，全国秋老虎地图出炉。

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+所以呢目标是非常有威力的，它是创造原则的全部。

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+希望你以后能够做的比我还好呦。

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