unsloth.ai · Training & Fine tuning
Fine tuning toolkit that speeds up LoRA and full training while cutting GPU memory use, with free notebooks.
Unsloth is one of 9 training and fine tuning tools on Axiomi. See all training and fine tuning tools or how we check facts.
// guides
How to use TensorFlow in Jupyter Notebook: install it in a venv, register the kernel with ipykernel, pick it in JupyterLab or VS Code, and fix common errors.
RTX 3090 BF16 runs at half rate, and a new Linux mod restores it on RTX 30 cards. What it speeds up for local LLMs, what it doesn't, the risks and setup.
Can you run DeepSeek V4.1 Flash locally? Real RAM, VRAM and disk needs by GGUF, Strata on one 12 GB GPU, the llama.cpp PR, vLLM, Ollama and DGX Spark.
SmolLM vs Llama compared on benchmarks, licence, context, languages, memory and local setup, so you can choose between SmolLM3 and Llama 3.2 for your project.
Recursive Flint is an Apache 2.0 coding model with 40B total and 2.5B active parameters. How to run Flint locally with Ollama, llama.cpp, rec or Unsloth.
SmolLM vs Gemma compared on size, licence, context, languages, vision and audio, local setup and fine tuning, so you can pick the right small model in 2026.
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