Tools
Ludwig vs Unsloth
Ludwig or Unsloth? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In inglese
In short
- Both: Command line, Choice of models, Self-hosted, API
- Only Unsloth states: Chat about your code, Runs commands, Search over your data
Ludwig
Open-source framework for training, fine-tuning, evaluating, and serving custom AI models with YAML configuration.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Command line — “One command to serve your model as a REST API.” source
- Choice of models — “Use any HuggingFace model as a backbone.” source
- Self-hosted — “Train locally with CPU or GPU. Fast iteration, no setup.” source
- API — “One command to serve your model as a REST API.” source
Latest updates
- v0.17.9 (v0.17.9)
Checkpoint loading now uses PyTorch’s restricted unpickler to prevent code execution from crafted checkpoints.
- v0.17.8: path traversal fix in dataset archive extraction (v0.17.8)
Fixed path traversal in dataset archive extraction through symlink members.
- v0.17.7 (v0.17.7)
Fixed Ray preprocessing tests for Arrow-backed data and row ordering.
Unsloth
Unsloth runs and fine-tunes AI models locally through a free, open-source desktop app, web UI, and code-based tools.
Plans
Free
Free
- Open-source
- Supports Mistral and Gemma
- Supports Llama 1, 2, and 3
- Supports 4 bit and 16 bit LoRA
unsloth Pro
Contact us
- 2.5x number of GPUs faster than FA2
- 20% less memory than OSS
- Enhanced MultiGPU support
- Up to 8 GPUs support
unsloth Enterprise
Contact us
- 32x number of GPUs faster than FA2
- Up to 30% accuracy
- 5x faster inference
- Full training
- Multi-node support
- Customer support
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Chat about your code — “Download a model and start chatting in minutes.” source
- Runs commands — “Execute Bash and Python in a secure sandbox so models can run code, test results and complete real tasks locally.” source
- Command line — “then run unsloth start claude .” source
- Choice of models — “Discover, manage and download the right quantization for your device from the built-in model hub.” source
- Self-hosted — “Open-source. Free. 100% Local.” source
- API — “Unsloth also exposes an OpenAI-compatible API, so existing apps, scripts and SDKs can connect to your local models through a familiar interface.” source
- Search over your data — “Private web search, deep research, RAG, MCP + exports (NVFP4, GGUF)” source
Latest updates
- Qwen-Image-2.1 + Skills (Qwen-Image-2.1)
Adds local Qwen-Image-2.1, custom Agent Skills, draggable chats, faster reasoning blocks, and Linux update and installation options.
- Qwen-Image-2.1 + Skills (Qwen-Image-2.1)
Adds local Qwen-Image-2.1, custom Agent Skills, draggable chats, faster reasoning blocks, and Linux update and installation options.
- Docker + Multi User + AMD Support (v0.1.810-beta)
Adds a Docker image with NVIDIA and AMD support, multi-user accounts, diffusion support, ARM64 Windows CUDA support, and RDNA1/2 support.