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Model: KandirResearch/DarijaTTS-v0.1-500M
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+tags:
+- unsloth
+- trl
+- sft
+- tts
+license: apache-2.0
+language:
+- ary
+datasets:
+- KandirResearch/DarijaTTS-clean
+base_model:
+- OuteAI/OuteTTS-0.2-500M
+pipeline_tag: text-to-speech
+---
+# Moroccan Darija TTS
+
+This is a text-to-speech (TTS) model for Moroccan Darija, fine-tuned from [OuteAI/OuteTTS-0.2-500M](https://huggingface.co/OuteAI/OuteTTS-0.2-500M) on the [KandirResearch/DarijaTTS-clean](https://huggingface.co/datasets/KandirResearch/DarijaTTS-clean) dataset.
+
+## Model Details
+- **Base Model:** [OuteAI/OuteTTS-0.2-500M](https://huggingface.co/OuteAI/OuteTTS-0.2-500M)
+- **Dataset:** [KandirResearch/DarijaTTS-clean](https://huggingface.co/datasets/KandirResearch/DarijaTTS-clean)
+- **Training Method:** Fine-tuned using Unsloth's `SFTTrainer`
+- **Dataset Preparation:** Preprocessed following [OuteTTS training guide](https://github.com/edwko/OuteTTS/blob/main/examples/training/OuteTTS-0.3/train.md)
+- **Demo:** [Try it here](https://huggingface.co/spaces/Lyte/DarijaTTS-test)
+
+## Usage
+
+> [!IMPORTANT]
+> **Compatibility Note**
+> Recent updates to `outetts` have introduced breaking changes. If you encounter the error:
+> `AttributeError: module 'outetts' has no attribute 'GGUFModelConfig_v2'`
+>
+> **Solution:** Please install a compatible version (0.3.3 or 0.3.2) to resolve this:
+> ```bash
+> pip install outetts==0.3.3
+> ```
+
+You can run the model using `outetts` as follows:
+
+Install `outetts` and `llama-cpp-python`:
+```bash
+pip install outetts==0.3.3 llama-cpp-python huggingface_hub
+````
+
+```python
+import outetts
+from outetts.models.config import GenerationConfig
+from huggingface_hub import hf_hub_download
+
+model_path = hf_hub_download(
+    repo_id="KandirResearch/DarijaTTS-v0.1-500M",
+    filename="unsloth.Q8_0.gguf",
+)
+model_config = outetts.GGUFModelConfig_v2(
+    model_path=model_path,
+    tokenizer_path="KandirResearch/DarijaTTS-v0.1-500M",
+)
+interface = outetts.InterfaceGGUF(model_version="0.3", cfg=model_config)
+
+def tts(text, temperature=0.3, repetition_penalty=1.1):
+    gen_cfg = GenerationConfig(
+        text=text,
+        temperature=temperature,
+        repetition_penalty=repetition_penalty,
+        max_length=4096,
+    )
+    output = interface.generate(config=gen_cfg)
+    output_path = "output.wav"
+    output.save(output_path)
+    return output_path
+
+# Example usage
+audio_path = tts("السلام كيداير لاباس عليك؟")
+print(f"Generated audio saved at: {audio_path}")
+```
+
+## Training
+
+The model was fine-tuned using `Unsloth`'s `SFTTrainer`. The dataset was preprocessed following the [OuteTTS training guide](https://github.com/edwko/OuteTTS/blob/main/examples/training/OuteTTS-0.3/train.md). LoRA-based fine-tuning was applied to improve efficiency.
+
+# Support Me
+
+[](https://ko-fi.com/lyte)
+
+-----
+
+For any issues or improvements, feel free to open a discussion or PR\!

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 157696
+}

generation_config.json

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+{
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+  "eos_token_id": 151645,
+  "max_length": 32768,
+  "pad_token_id": 151643,
+  "transformers_version": "4.49.0"
+}

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