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Fine Tuning PlatformsUnclaimed

Axolotl

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Also known as
axolotl

Available worldwide

What is 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

Axolotl pricing

We don't have Axolotl's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

Pricing as of verify at live pricing ↗Independently observed
Open sourceFree tier

Free and open source

What Axolotl does

The capabilities that matter for fine tuning platforms, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

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

Platform & deployment

Independently observed
Platforms
  • CLI
Deployment
  • Cloud / SaaS
  • Self-hosted

Integrations (8)

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

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Axolotl alternatives

Other fine tuning platforms we track, ranked by the same independent score.

All Axolotl alternatives, ranked →

Compare Axolotl

Side by side against other fine tuning platforms, attribute by attribute, with a source on every value.

Independent · unbought · dated

The Vioscale score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Axolotl, not the verdict.

Balanced composite 52 / 100
low · 32%updating
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Capabilities810.086.4✓
Release cadence950.054.9✓
Development activity470.094.4✓
Stars770.032.0✓
Integrations270.071.9✓
Dependent projects50.060.3✓
Security posture00.070.0-
Package downloads00.140.0-
Security score00.040.0-
Developer Q&A activity00.060.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d29mediumsource · 2026-08-26 · 65%

Adoption

AttributeValueEvidence
Github stars12,407highsource · 2026-08-26 · 90%
Dependent repos1highsource · 2026-08-26 · 85%

Features

AttributeValueEvidence
CapabilitiesSoc2 type ii: No · Pricing model: free_open_source · Architecture model: open_source_library_local_gpu · Mit or apache permissive oss license: No · Flash attention and xformers compilation: Yes · Four bit and eight bit memory quantization: Yesmediumsource · 2026-08-21 · 60%

Integrations

AttributeValueEvidence
Count8mediumsource · 2026-08-21 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-08-26 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-08-26 · 95%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …highsource · 2026-08-21 · 75%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-21 · 60%
Modelopen_sourcemediumsource · 2026-08-21 · 60%
Price levelfreemediumsource · 2026-08-21 · 60%

Release

AttributeValueEvidence
Cadence days9mediumsource · 2026-08-26 · 70%
History20 itemsmediumsource · 2026-08-26 · 70%

Security

AttributeValueEvidence
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=axolotl&per_page=100 · Last 12m: 0highsource · 2026-08-26 · 90%