# LLaMA-Factory vs Snorkel AI

| Attribute | LLaMA-Factory | Snorkel AI |
|---|---|---|
| **Vioscale score** | 54.2 (24% (low)) | 46.3 (21% (low)) |
| activity.commits_last_30d | 14 | - |
| adoption.github_stars | 74,382 | - |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | 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. | Snorkel provides tools for building research-grade training data, evaluation systems, and benchmarks tailored to frontier AI models and agents. It uses programmatic data labeling with audit trails, multi-reviewer pipelines, and curriculum-structured datasets to move beyond generic coverage and address domain-specific gaps that generic models struggle with. |
| 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_type_ii":true,"pricing_model":"enterprise_annual_license","architecture_model":"managed_cloud_saas_platform","mit_or_apache_permissive_oss_license":false,"flash_attention_and_xformers_compilation":false,"four_bit_and_eight_bit_memory_quantization":false,"native_huggingface_hub_push_pull_integration":false,"weights_and_biases_wandb_experiment_tracking":false,"peft_lora_and_qlora_parameter_efficient_tuning":false,"rlhf_and_dpo_preference_alignment_optimization":false,"serverless_hosting_of_fine_tuned_adapters_lorax":false,"synthetic_data_generation_and_evaluation_pipeline":true,"distributed_multi_gpu_orchestration_fsdp_deepspeed":false}` |
| integrations.count | 7 | 10 |
| integrations.list | `[{"name":"TensorBoard"},{"name":"Wandb"},{"name":"MLflow"},{"name":"SwanLab"},{"name":"Transformers"},{"name":"vLLM"},{"name":"Hugging Face Hub"}]` | `[{"name":"Databricks"},{"name":"Snowflake"},{"name":"Google BigQuery"},{"name":"Amazon S3"},{"name":"Google Cloud Storage"},{"name":"Azure Blob Storage"},{"name":"Azure Active Directory"},{"name":"AWS Secrets Manager"},{"name":"SAML"},{"name":"OIDC"}]` |
| 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 and open source","sourceUrl":"https://llamafactory.readthedocs.io","retrievedAt":"2026-08-21T11:03:55.421Z"}` | - |
| pricing.model | open_source | commercial |
| pricing.price_level | free | - |
| pricing.transparent | yes | - |
| 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.gdpr | - | yes |
| security.soc2 | - | yes |

## Capabilities (Fine Tuning Platforms)

| Capability | LLaMA-Factory | Snorkel 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 | Enterprise annual license |

*Source: Vioscale. Generated 2026-09-01T17:39:18.873Z. "-" = undocumented, not absent.*