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View details ↗DISCOVER & COMPARE
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View details ↗Lite-Oute-1-300M
OuteAItable { border-collapse: collapse; width: 100%; margin-bottom: 20px; } th, td { border: 1px solid #ddd; padding: 8px; text-align: center; } .best { font-weight: bold; text-decoration: underline; } Lite-Oute-1-300M (Base) is a Lite series model based on the Mistral architecture, comprising approximately 300 million parameters. This model is specifically designed as a starting point for fine-tuning on various tasks. With its 300 million parameters, it offers a balance between compact size and capability, making it suitable for a wide range of fine-tuning applications. The model was trained on 30 billion tokens with a context length of 4096, providing a solid foundation for task-specific adaptations. By using this model, you acknowledge that you understand and assume the risks associated with its use. You are solely responsible for ensuring compliance with all applicable laws and regulations. We disclaim any liability for problems arising from the use of this open-source model, including but not limited to direct, indirect, incidental, consequential, or punitive damages. We make no warranties, express or implied, regarding the model's performance, accuracy, or fitness for a particular purpose. Your use of this model is at your own risk, and you agree to hold harmless and indemnify us, our affiliates, and our contributors from any claims, damages, or expenses arising from your use of the model.
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View details ↗Llama-OuteTTS-1.0-1B
OuteAI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗OuteTTS-0.1-350M-GGUF
OuteAI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗OuteTTS-0.2-500M-GGUF
OuteAItable { border-collapse: collapse; width: 100%; margin-bottom: 20px; } th, td { border: 1px solid #ddd; padding: 8px; text-align: center; } .best { font-weight: bold; text-decoration: underline; } .box { text-align: center; margin: 20px auto; padding: 30px; box-shadow: 0px 0px 20px 10px rgba(0, 0, 0, 0.05), 0px 1px 3px 10px rgba(255, 255, 255, 0.05); border-radius: 10px; } .badges { display: flex; justify-content: center; gap: 10px; flex-wrap: wrap; margin-top: 10px; } .badge { text-decoration: none; display: inline-block; padding: 4px 8px; border-radius: 5px; color: #fff; font-size: 12px; font-weight: bold; width: 250px; } .badge-hf-blue { background-color: #767b81; } .badge-hf-pink { background-color: #7b768a; } .badge-github { background-color: #2c2b2b; } 🤗 Hugging Face - OuteTTS 0.2 500M 🤗 Hugging Face - OuteTTS 0.2 500M GGUF 🤗 Hugging Face - Demo Space GitHub - OuteTTS OuteTTS-0.2-500M is our improved successor to the v0.1 release. The model maintains the same approach of using audio prompts without architectural changes to the foundation model itself. Built upon the Qwen-2.5-0.5B, this version was trained on larger and more diverse datasets, resulting in significant improvements across all aspects of performance.
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View details ↗OuteTTS-0.3-1B-GGUF
OuteAI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗OuteTTS-0.3-500M
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View details ↗OuteTTS-0.3-500M-GGUF
OuteAI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗OuteTTS-1.0-0.6B
OuteAI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗OuteTTS-1.0-0.6B-GGUF
OuteAI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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