--- title: "qlora vs lora" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/artidoro-qlora-vs-cloneofsimo-lora" tools: ["artidoro-qlora", "cloneofsimo-lora"] --- # qlora vs lora *GraphCanon updated Aug 23, 2026* ## Verdict Pick qlora if qLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family; pick lora if lora is designed for quick model customization through low-rank adaptation of pre-existing diffusion models like Stable Diffusion using Jupyter Notebooks in an interactive learning environment. [qlora](https://arxiv.org/abs/2305.14314) reports 11k GitHub stars, 876 forks, and 206 open issues, last pushed Jun 10, 2024. [lora](https://arxiv.org/abs/2106.09685) has 7.5k stars, 495 forks, and 88 open issues, last pushed Mar 22, 2024. Figures are from public GitHub metadata via [qlora's repository](https://github.com/artidoro/qlora) and [lora's repository](https://github.com/cloneofsimo/lora). | | [qlora](/tools/artidoro-qlora.md) | [lora](/tools/cloneofsimo-lora.md) | | --- | --- | --- | | Tagline | QLoRA finetuning of quantized LLMs | Jupyter Notebook repository for fine-tuning diffusion models using Low-Rank Adaptation. | | Stars | 10,979 | 7,549 | | Forks | 876 | 495 | | Open issues | 206 | 88 | | Language | Jupyter Notebook | Jupyter Notebook | | Adopt for | QLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family. | Lora is designed for quick model customization through low-rank adaptation of pre-existing diffusion models like Stable Diffusion using Jupyter Notebooks in an interactive learning environment. | | Persona | - | - | | Runtime | - | - | | License | MIT License; open-source tool for QLoRA fine-tuning process; LLaMA base models must be obtained legally as per their license terms | The project is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. | | Categories | LLM Frameworks, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [qlora](/tools/artidoro-qlora.md) | [lora](/tools/cloneofsimo-lora.md) | | --- | --- | --- | | Days since push | 783d | 884d | | Open issues (now) | 206 | 88 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/artidoro-qlora/trust.md) | [trust report](/tools/cloneofsimo-lora/trust.md) | ## Shared compatibility - **Python**: [qlora](/tools/artidoro-qlora.md) - Python runtime; [lora](/tools/cloneofsimo-lora.md) - Python runtime ## Decision facts: qlora - **Pricing:** freemium - Open source under MIT License; requires access to LLaMA base models - **Requirements:** Installation involves installing PyTorch and specific packages from source; Works with model sizes ranging from 7B to 65B, includes recommendations for tuning different sizes - **Adopt for:** QLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family. - **License detail:** MIT License; open-source tool for QLoRA fine-tuning process; LLaMA base models must be obtained legally as per their license terms ## Decision facts: lora - **Requirements:** Suitable for developers and researchers looking to experiment with diffusion models in an interactive Jupyter Notebook environment. - **Adopt for:** Lora is designed for quick model customization through low-rank adaptation of pre-existing diffusion models like Stable Diffusion using Jupyter Notebooks in an interactive learning environment. - **License detail:** The project is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. ## Choose when ### Choose qlora if… - License: qlora is MIT, lora is Apache-2.0. - Pricing: Open source under MIT License; requires access to LLaMA base models. - Requirements: Installation involves installing PyTorch and specific packages from source; Works with model sizes ranging from 7B to 65B, includes recommendations for tuning different sizes. - Tags unique to qlora: guanaco, llama models, quantization. - Also covers LLM Frameworks. - Need efficient fine-tuning for quantized LLaMA-based models ### Choose lora if… - License: lora is Apache-2.0, qlora is MIT. - Requirements: Suitable for developers and researchers looking to experiment with diffusion models in an interactive Jupyter Notebook environment.. - Tags unique to lora: diffusion, lora, stable-diffusion. - Use Lora when you need to fine-tune existing diffusion models quickly with interactive experimentation capabilities available via Jupyter Notebooks. ## When NOT to use qlora - Require native full-precision model tuning without efficiency constraints - Focusing on non-LLaMA-based language models where specific adaptations may not apply ## When NOT to use lora - Do not use Lora when you require a more thorough or comprehensive fine-tuning approach that goes beyond quick customization through low-rank adaptation. - Avoid Lora if your development workflow is not compatible with Jupyter Notebooks, as this is the primary environment provided by the repository. ## Common questions ### What is the difference between qlora and lora? qlora: QLoRA finetuning of quantized LLMs. lora: Jupyter Notebook repository for fine-tuning diffusion models using Low-Rank Adaptation.. See the comparison table for live GitHub stats and shared categories. ### When should I choose qlora over lora? Choose qlora over lora when License: qlora is MIT, lora is Apache-2.0; Pricing: Open source under MIT License; requires access to LLaMA base models; Requirements: Installation involves installing PyTorch and specific packages from source; Works with model sizes ranging from 7B to 65B, includes recommendations for tuning different sizes; Tags unique to qlora: guanaco, llama models, quantization; Also covers LLM Frameworks; Need efficient fine-tuning for quantized LLaMA-based models. ### When should I choose lora over qlora? Choose lora over qlora when License: lora is Apache-2.0, qlora is MIT; Requirements: Suitable for developers and researchers looking to experiment with diffusion models in an interactive Jupyter Notebook environment.; Tags unique to lora: diffusion, lora, stable-diffusion; Use Lora when you need to fine-tune existing diffusion models quickly with interactive experimentation capabilities available via Jupyter Notebooks. ### When should I avoid qlora? Require native full-precision model tuning without efficiency constraints Focusing on non-LLaMA-based language models where specific adaptations may not apply ### When should I avoid lora? Do not use Lora when you require a more thorough or comprehensive fine-tuning approach that goes beyond quick customization through low-rank adaptation. Avoid Lora if your development workflow is not compatible with Jupyter Notebooks, as this is the primary environment provided by the repository. ### Is qlora or lora more popular on GitHub? qlora has more GitHub stars (10,979 vs 7,549). Stars measure visibility, not whether either tool fits your constraints. ### Are qlora and lora open source? Yes - both are open-source projects on GitHub (qlora: MIT, lora: Apache-2.0). ### Where can I find alternatives to qlora or lora? GraphCanon lists graph-backed alternatives at [qlora alternatives](/tools/artidoro-qlora/alternatives) and [lora alternatives](/tools/cloneofsimo-lora/alternatives) ([qlora markdown twin](/tools/artidoro-qlora/alternatives.md), [lora markdown twin](/tools/cloneofsimo-lora/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/artidoro-qlora-vs-cloneofsimo-lora.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, qlora or lora? qlora: Dormant. lora: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for qlora and lora? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [qlora trust report](/tools/artidoro-qlora/trust); [lora trust report](/tools/cloneofsimo-lora/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=artidoro-qlora`](/api/graphcanon/graph?tool=artidoro-qlora) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_