# LLaMA-Factory vs Scale AI

**Leader by vioscaleAI score:** Scale AI

| Attribute | LLaMA-Factory | Scale AI |
|---|---|---|
| **vioscaleAI score** | 51.4 (32% (low)) | 57.8 (45% (low)) |
| activity.commits_last_30d | 8 | - |
| adoption.dependent_repos | 0 | - |
| adoption.github_stars | 75,316 | - |
| content.faq | `[{"answer":"LlamaFactory is a user-friendly training and fine-tuning platform that enables local optimization of hundreds of pre-trained language models without requiring code. It supports diverse training methods including supervised fine-tuning, reinforcement learning approaches, and parameter-efficient techniques. It is indexed under Fine Tuning Platforms.","source":"https://llamafactory.readthedocs.io","question":"What is LLaMA-Factory?","confidence":0.6},{"answer":"LLaMA-Factory is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://llamafactory.readthedocs.io","question":"Is LLaMA-Factory free to use?","confidence":0.6},{"answer":"LLaMA-Factory supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://llamafactory.readthedocs.io","question":"What platforms does LLaMA-Factory support?","confidence":0.6},{"answer":"Yes. LLaMA-Factory can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://llamafactory.readthedocs.io","question":"Can LLaMA-Factory be self-hosted?","confidence":0.6},{"answer":"We have confirmed 7 integrations for LLaMA-Factory, including TensorBoard, Wandb, MLflow, SwanLab, Transformers, vLLM and Hugging Face Hub. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://llamafactory.readthedocs.io","question":"What does LLaMA-Factory integrate with?","confidence":0.6},{"answer":"Yes. LLaMA-Factory is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/hiyouga/LlamaFactory","question":"Is LLaMA-Factory open source?","confidence":0.95}]` | `[{"answer":"A platform for annotating and managing data for machine learning projects, with enterprise generative AI applications built on your data. It is indexed under Data Labeling.","source":"https://scale.com/pricing","question":"What is Scale AI?","confidence":0.6},{"answer":"Scale AI offers a free tier, so you can start without paying. Paid plans are also available: Enterprise and Self-Serve Data Engine. Pricing changes often, so verify at source before relying on it.","source":"https://scale.com/pricing","question":"Is Scale AI free?","confidence":0.6},{"answer":"We have confirmed browser-based access to Scale AI. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://scale.com/pricing","question":"What platforms does Scale AI support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Scale AI, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://scale.com/pricing","question":"Can Scale AI be self-hosted?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, ISO 27001 and GDPR for Scale AI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Scale AI not holding them. Always confirm compliance directly before you rely on it.","source":"https://scale.com/security","question":"What security certifications does Scale AI have?","confidence":0.7},{"answer":"Scale AI is available worldwide. Its primary market is the United States. The vendor is headquartered in the United States.","source":"https://scale.com/pricing","question":"Where is Scale AI available?","confidence":0.75}]` |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true}` |
| description.long | Open source Sphinx theme offering customizable styling, sidebar navigation, and clear typography. Built for smaller documentation projects. | Provides private evaluation frameworks and leaderboards for assessing and comparing AI models, used by leading AI development teams. |
| features.capabilities | `{"pricing_model":"free_open_source","architecture_model":"open_source_library_local_gpu","mit_or_apache_permissive_oss_license":true,"flash_attention_and_xformers_compilation":true,"four_bit_and_eight_bit_memory_quantization":true,"weights_and_biases_wandb_experiment_tracking":true,"peft_lora_and_qlora_parameter_efficient_tuning":true,"rlhf_and_dpo_preference_alignment_optimization":true,"distributed_multi_gpu_orchestration_fsdp_deepspeed":true}` | `{"soc2":true,"soc2_type_ii":true,"architecture_model":"managed_cloud_saas_platform","rlhf_preference_data":true,"rlhf_and_dpo_preference_alignment_optimization":true}` |
| integrations.count | 7 | - |
| integrations.list | `[{"name":"TensorBoard"},{"name":"Wandb"},{"name":"MLflow"},{"name":"SwanLab"},{"name":"Transformers"},{"name":"vLLM"},{"name":"Hugging Face Hub"}]` | - |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true}` | `{"web":true}` |
| pricing | `{"type":"open_source","summary":"Free, open source (MIT license)","freeTier":true,"sourceUrl":"https://llamafactory.readthedocs.io","retrievedAt":"2026-10-05T10:13:45.338Z"}` | `{"type":"hybrid","plans":[{"free":false,"name":"Enterprise","summary":"Contact for pricing","features":["Enterprise-grade quality & SLAs","Access to Data Engine and Enterprise GenAI Platform","Dedicated customer operations support","Data annotation services","Data management","Custom enterprise AI applications"],"description":"Strategic AI initiatives with enterprise-grade quality and SLAs","contactSales":true},{"free":false,"name":"Self-Serve Data Engine","summary":"Pay-as-you-go with free tier","features":["Data annotation and management for ML projects","Quality optimization","Free tier: 10,000 images"],"description":"Pay-as-you-go data annotation and management for experimental or research projects","contactSales":false,"includedLimits":{"images":"10,000 free"}}],"summary":"Enterprise (contact sales) and Self-Serve pay-as-you-go tiers with free tier","currency":"USD","freeTier":true,"sourceUrl":"https://scale.com/pricing","retrievedAt":"2026-08-18T21:42:41.496Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | quote |
| pricing.price_level | free | unknown |
| pricing.transparent | yes | no |
| release.cadence_days | 25 | - |
| release.history | `[{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.9.5","date":"2026-05-30T15:57:58Z","type":"stable","version":"v0.9.5"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.9.4","date":"2025-12-31T15:00:14Z","type":"stable","version":"v0.9.4"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.9.3","date":"2025-06-16T17:21:46Z","type":"stable","version":"v0.9.3"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.9.2","date":"2025-03-11T13:47:35Z","type":"stable","version":"v0.9.2"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.9.1","date":"2024-11-24T17:17:33Z","type":"stable","version":"v0.9.1"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.9.0","date":"2024-09-08T17:14:03Z","type":"stable","version":"v0.9.0"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.8.3","date":"2024-07-18T18:00:06Z","type":"stable","version":"v0.8.3"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.8.2","date":"2024-06-19T13:06:16Z","type":"stable","version":"v0.8.2"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.8.1","date":"2024-06-10T16:50:22Z","type":"stable","version":"v0.8.1"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.8.0","date":"2024-06-07T22:26:46Z","type":"stable","version":"v0.8.0"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.7.1","date":"2024-05-15T18:16:30Z","type":"stable","version":"v0.7.1"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.7.0","date":"2024-04-27T20:24:50Z","type":"stable","version":"v0.7.0"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.6.3","date":"2024-04-21T15:43:07Z","type":"stable","version":"v0.6.3"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.6.2","date":"2024-04-11T12:27:01Z","type":"stable","version":"v0.6.2"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.6.1","date":"2024-03-29T04:07:57Z","type":"stable","version":"v0.6.1"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.6.0","date":"2024-03-25T15:50:44Z","type":"stable","version":"v0.6.0"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.5.3","date":"2024-02-28T17:01:31Z","type":"stable","version":"v0.5.3"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.5.2","date":"2024-02-20T07:32:43Z","type":"stable","version":"v0.5.2"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.5.0","date":"2024-01-20T18:37:07Z","type":"stable","version":"v0.5.0"},{"url":"https://github.com/hiyouga/LlamaFactory/releases/tag/v0.4.0","date":"2023-12-16T13:48:38Z","type":"stable","version":"v0.4.0"}]` | - |
| security.disclosure_policy | - | yes |
| security.fedramp | - | yes |
| security.gdpr | - | yes |
| security.iso27001 | - | yes |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fhiyouga%2FLlamaFactory&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Fine Tuning Platforms)

| Capability | LLaMA-Factory | Scale AI |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Open source library local GPU | Managed cloud saas platform |
| 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 | - |

*Source: vioscaleAI. Generated 2026-10-16T19:19:37.420Z. "-" = undocumented, not absent.*