Unsloth AI

4.30

RATING

133 K+

EXPOSURE

About this tool

Name

Unsloth AI

Category

tools

Unsloth, at https://unsloth.ai/, is an open-source AI framework launched in 2023, designed for developers to fine-tune and run large language models (LLMs) like Llama 4, DeepSeek-R1, Qwen3, Gemma 3, and Phi-4. Core features: Fast Fine-Tuning: 2x faster, 70% less VRAM for LoRA/QLoRA; Dynamic Quantization: 4-bit/16-bit GGUF with no accuracy loss; Model Support: Supports vision, text-to-speech, BERT, multimodal models; Integration Support: Hugging Face, vLLM, Ollama, Colab, Kaggle; Analytics: Tracks training speed, VRAM usage, and model accuracy.

Ratings and Reviews

Fine-Tuning Revolutionized

4.00

Unsloth’s “fast fine-tuning” slashed my “training time”—users love it! Setup’s easy, models accurate. Dependency issues—4/5 stars.

April 25, 2025

Priya Sharma

Fast but Tricky

3.50

“Dynamic quantization” optimized my “VRAM usage”—user praise earned. Colab notebooks great, but installs complex. 3.5/5 stars.

April 30, 2025

Arjun Patel

My AI Ally

4.50

Unsloth’s “model support” enhanced “custom LLMs”—users rave! Analytics shine, results top-notch. 4.5/5 stars.

May 5, 2025

Riya Khan

How to use

Sign Up: Access via https://github.com/unslothai/unsloth or https://www.kluster.ai/. Setup: Install via pip, configure model, ~10 minutes. Core Action: Fine-tune models, run inference, export to GGUF/vLLM. Manage: Monitor via Colab/Kaggle notebooks or dashboard. Enhance: Use paid Kluster credits at https://www.kluster.ai/.

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