Comparison

Axolotl vs Unsloth

No clear leader: Unsloth (54.9) and Axolotl (51.9) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Axolotl52
Unsloth55
Score
Vioscale score
Axolotl52 / 100low · 32%updating
Unsloth55 / 100low · 40%updating
Pricing
Free tier
Axolotl
Unsloth
Model
Unslothfreemium
Price level
Axolotlfree
Unslothlow
Transparent
Axolotl
Unsloth
Integrations
Count
Axolotl8
Unsloth18
Adoption
Dependent repos
Axolotl1
Unsloth0
Github stars
Axolotl12,407
Unsloth74,869
Activity
Commits last 30d
Axolotl29
Unsloth100
Release
Cadence days
Axolotl9
Unsloth4
History
Axolotl20 items
Unsloth20 items
License
Spdx
AxolotlApache-2.0
UnslothApache-2.0
Language
Primary
AxolotlPython
UnslothPython
Market
Availability
Unsloth

Capabilities

Feature-by-feature on the axes that matter for fine tuning platforms. “-” means undocumented, not absent.

Capabilities
Architecture model
AxolotlOpen source library local GPU
UnslothOpen source library local GPU
Peft lora and qlora parameter efficient tuning
Axolotl
Unsloth
Rlhf and dpo preference alignment optimization
Axolotl
Unsloth
Serverless hosting of fine tuned adapters lorax
Axolotl
Unsloth-
Four bit and eight bit memory quantization
Axolotl
Unsloth
Flash attention and xformers compilation
Axolotl
Unsloth
Distributed multi GPU orchestration fsdp deepspeed
Axolotl
Unsloth
Synthetic data generation and evaluation pipeline
Axolotl
Unsloth-
Native huggingface hub push pull integration
Axolotl
Unsloth
Weights and biases wandb experiment tracking
Axolotl
Unsloth-
SOC2 type ii
Axolotl
Unsloth-
Mit or apache permissive oss license
Axolotl
Unsloth
Pricing model
AxolotlFree open source
UnslothFree open source

What each one is

The product in its own terms, so the numbers below have context.

Axolotl

A free framework that simplifies fine-tuning and customization of large language models on GPU hardware, with support for multiple training techniques and model architectures.

Independently observed

Unsloth

Unsloth is a free, open-source desktop app that lets users run, customize, and train AI models on their own hardware with optimizations for speed and memory usage. It supports multiple GPU setups and offers paid Pro and Enterprise tiers with enhanced performance and deployment capabilities.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Axolotl

Open sourceFree tier

Free and open source

as of verify ↗

Unsloth

HybridFree tier

Free open-source tier; Pro and Enterprise plans available

  • FreeFree
    • Supports Mistral, Gemma, Llama 1/2/3 models
    • 4-bit and 16-bit LoRA fine-tuning
    • Single GPU support
    • 2x speed improvement
    • 60% VRAM reduction
    • +1 more
  • ProContact sales
    • 2.5x faster training
    • 20% less VRAM usage
    • Multi-GPU support up to 8 GPUs
    • 80% VRAM reduction
    • Support for any use case
  • EnterpriseContact sales
    • 30x faster training
    • Up to 30% accuracy improvement
    • 5x faster inference
    • Multi-node support
    • 90% VRAM reduction
    • +2 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Axolotl
Unsloth
macOS
Axolotl
Unsloth
Windows
Axolotl
Unsloth
Linux
Axolotl
Unsloth
CLI
Axolotl
Unsloth
Deployment
Cloud / SaaS
Axolotl
Unsloth
Self-hosted
Axolotl
Unsloth

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Axolotl

8 total
  • HuggingFace Hub
  • HuggingFace Transformers
  • PEFT
  • vLLM
  • TRL
  • DeepSpeed
  • FSDP
  • CUDA
Independently observed

Unsloth

18 total
  • Claude Code
  • Codex
  • OpenAI API
  • Hugging Face
  • Google
  • Model Context Protocol
  • Cloudflare
  • FLUX
  • MiniMax-H3
  • Stable Diffusion
  • Qwen3.8
  • DeepSeek-V4
  • Gemma 2
  • Gemma 4
  • Mistral
  • Llama 1
  • Llama 2
  • Llama 3
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.