Unsloth is described as 'Unslow finetuning for AI and LLMs. Get 30x faster with Unsloth' and is an app in the ai tools & services category. There are more than 10 alternatives to Unsloth for a variety of platforms, including Web-based, Windows, Linux, Python and Mac apps. The best Unsloth alternative is Fireworks AI. It's not free, so if you're looking for a free alternative, you could try Windows AI Studio or SMOL-GPT. Other great apps like Unsloth are LLaMA Factory, Plexe AI, AIkit and FinetuneDB.
Harness state-of-the-art open-source LLMs and image models at blazing speeds with Fireworks AI. Utilize rapid deployment, fine-tuning without extra costs, FireAttention for model efficiency, and FireFunction for complex AI applications including automation and domain-expert copilots.
Windows AI Studio simplifies generative AI app development by bringing together cutting-edge AI development tools and models from Azure AI Studio Catalog and other catalogs like Hugging Face. You will be able to browse the AI models catalog powered by Azure ML and Hugging Face...
Plexe AI enables you to create, train, and deploy machine learning models using simple English commands — no coding required.
AIKit is a comprehensive platform to quickly get started to host, deploy, build and fine-tune large language models (LLMs).
Train AI models with your data in minutes, not weeks, and get better performance at lower cost. Integrates with open-source and proprietary foundation models.
Abstract the complexity, focus on building great products. Fully compatible with OpenAI SDK - no new API to learn. From creative to production, AI capabilities at your fingertips.
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs.
Run and fine-tune generative AI models with easy-to-use APIs and highly scalable infrastructure. Train and deploy models at scale on our AI Acceleration Cloud and scalable GPU clusters. Optimize performance and cost.
Axolotl is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.
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