About This Site
Open-source fine-tuning & reinforcement learning for LLMs. 🦥 Unsloth makes it super easy for you to train text-to-speech (TTS), diffusion, multimodal/image and text models like Llama 3 100% locally or for free on platforms such as Google Colab and Kaggle. We streamline the entire training workflow, including model loading, quantizing, training, evaluating, running, saving, exporting, and integrations with inference engines like Ollama, llama.cpp, and vLLM.
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Hunyuan-T1
腾讯云 TI-ONE 训练平台接入开源 MoE 模型 Hunyuan-Large，参数规模大，效果好。
本文介绍了腾讯云最新开源的 MoE 模型 Hunyuan-Large 的上线情况及其在腾讯云 TI 平台的接入服务。Hunyuan-Large 是目前业界参数规模最大、效果最好的Transformer架构的开源MoE模型，更适配开源框架精调和部署。Hunyuan-Large在与业界开源的DeepSeek-V2 、Llama3.1-70B、Llama3.1-405B以及Mixtral-8x22B的对比中，在CMMLU、MMLU、CEval等多学科综合评测集、中英文NLP任务、代码和数学等9大维度全面领先，处于行业领先水平。
Key Features AI
Core Features
Text-to-speech fine-tuning (advanced voice cloning)
Vision fine-tuning
Accurate Dynamic quantized models for you to run
Bug fixes for open models
Advantages
Significantly faster training (up to 30x faster than FA2)
Substantially reduced memory usage (up to 90% less than FA2)
Open-source and beginner-friendly
Supports a wide range of LLMs and GPU types (NVIDIA, AMD, Intel)
Offers faster inference capabilities
More energy-efficient and environmentally friendly
Enables rapid custom model training (e.g., 24 hours vs 30 days)
缺点：MultiGPU support for the free version is still 'coming soon'
缺点：Pricing for Pro and Enterprise plans requires direct contact with the company
缺点：The 'even faster inference' feature is still 'in the works', implying current inference might not be at its peak potential
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