# LLaMA-Factory vs TRL

| Attribute | LLaMA-Factory | TRL |
|---|---|---|
| **Vioscale score** | 59.2 (24% (low)) | 56.9 (23% (low)) |
| activity.commits_last_30d | 14 | 100 |
| adoption.dependent_repos | - | 52 |
| adoption.github_stars | 74,382 | 19,154 |
| deployment.options | `{"self_hosted":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. | A toolkit for enhancing transformer-based language models after initial training using various preference-alignment and optimization methods. It includes trainers integrated with the Hugging Face ecosystem and supports distributed training across multiple GPUs and clusters. |
| 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}` | `{"pricing_model":"free_open_source","architecture_model":"open_source_library_local_gpu","mit_or_apache_permissive_oss_license":true,"four_bit_and_eight_bit_memory_quantization":true,"peft_lora_and_qlora_parameter_efficient_tuning":true,"rlhf_and_dpo_preference_alignment_optimization":true,"distributed_multi_gpu_orchestration_fsdp_deepspeed":true}` |
| integrations.count | 7 | 7 |
| integrations.list | `[{"name":"TensorBoard"},{"name":"Wandb"},{"name":"MLflow"},{"name":"SwanLab"},{"name":"Transformers"},{"name":"vLLM"},{"name":"Hugging Face Hub"}]` | `[{"name":"transformers"},{"name":"PEFT"},{"name":"DeepSpeed"},{"name":"Accelerate"},{"name":"vLLM"},{"name":"torch_xla"},{"name":"torch.distributed"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| platform.support | `{"cli":true}` | `{"cli":true}` |
| pricing | `{"type":"open_source","summary":"Free and open source","sourceUrl":"https://llamafactory.readthedocs.io","retrievedAt":"2026-08-21T11:03:55.421Z"}` | `{"type":"free_open_source","sourceUrl":"https://huggingface.co/pricing","retrievedAt":"2026-08-21T11:09:14.090Z"}` |
| pricing.model | open_source | commercial |
| pricing.price_level | free | unknown |
| pricing.transparent | yes | - |
| release.cadence_days | 25 | 10 |
| release.history | 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| 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|
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=trl&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Fine Tuning Platforms)

| Capability | LLaMA-Factory | TRL |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Open source library local GPU | 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 | Free open source |

*Source: Vioscale. Generated 2026-09-01T17:10:48.779Z. "-" = undocumented, not absent.*