--- title: "LlamaFactory vs Best_AI_paper_2020" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-louisfb01-best-ai-paper-2020" tools: ["hiyouga-llamafactory", "louisfb01-best-ai-paper-2020"] --- # LlamaFactory vs Best_AI_paper_2020 *GraphCanon updated Jul 11, 2026* ## Verdict Pick LlamaFactory when license: LlamaFactory is Apache-2.0, Best_AI_paper_2020 is MIT; pick Best_AI_paper_2020 when license: Best_AI_paper_2020 is MIT, LlamaFactory is Apache-2.0. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [Best_AI_paper_2020](https://www.louisbouchard.ai/2020-a-year-full-of-amazing-ai-papers-a-review/) has 2.2k stars, 240 forks, and 0 open issues, last pushed Jan 28, 2022. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [Best_AI_paper_2020's repository](https://github.com/louisfb01/Best_AI_paper_2020). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [Best_AI_paper_2020](/tools/louisfb01-best-ai-paper-2020.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code | | Stars | 73,157 | 2,241 | | Forks | 8,937 | 240 | | Open issues | 1,067 | 0 | | Language | Python | - | | Adopt for | LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training, LLM Frameworks | LLM Frameworks, Model Training, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [Best_AI_paper_2020](/tools/louisfb01-best-ai-paper-2020.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1624d | | Open issues (now) | 1.1k | 0 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/louisfb01-best-ai-paper-2020/trust.md) | ## Decision facts: LlamaFactory - **Adopt for:** LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization. ## Choose when ### Choose LlamaFactory if… - License: LlamaFactory is Apache-2.0, Best_AI_paper_2020 is MIT. - Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### Choose Best_AI_paper_2020 if… - License: Best_AI_paper_2020 is MIT, LlamaFactory is Apache-2.0. - Tags unique to Best_AI_paper_2020: deep-learning, artificialintelligence, artificial-intelligence, deep-neural-networks. - Also covers Computer Vision. ## When NOT to use LlamaFactory - When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. - If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa ## When NOT to use Best_AI_paper_2020 - Last GitHub push was 1625 days ago (dormant maintenance, Jan 28, 2022). Validate activity before betting a new project on Best_AI_paper_2020. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between LlamaFactory and Best_AI_paper_2020? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. Best_AI_paper_2020: A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over Best_AI_paper_2020? Choose LlamaFactory over Best_AI_paper_2020 when License: LlamaFactory is Apache-2.0, Best_AI_paper_2020 is MIT; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### When should I choose Best_AI_paper_2020 over LlamaFactory? Choose Best_AI_paper_2020 over LlamaFactory when License: Best_AI_paper_2020 is MIT, LlamaFactory is Apache-2.0; Tags unique to Best_AI_paper_2020: deep-learning, artificialintelligence, artificial-intelligence, deep-neural-networks; Also covers Computer Vision. ### When should I avoid LlamaFactory? When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa ### When should I avoid Best_AI_paper_2020? Last GitHub push was 1625 days ago (dormant maintenance, Jan 28, 2022). Validate activity before betting a new project on Best_AI_paper_2020. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is LlamaFactory or Best_AI_paper_2020 more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 2,241). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and Best_AI_paper_2020 open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, Best_AI_paper_2020: MIT). ### Where can I find alternatives to LlamaFactory or Best_AI_paper_2020? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [Best_AI_paper_2020 alternatives](/tools/louisfb01-best-ai-paper-2020/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [Best_AI_paper_2020 markdown twin](/tools/louisfb01-best-ai-paper-2020/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/hiyouga-llamafactory-vs-louisfb01-best-ai-paper-2020.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or Best_AI_paper_2020? LlamaFactory: Very active. Best_AI_paper_2020: 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 LlamaFactory and Best_AI_paper_2020? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [Best_AI_paper_2020 trust report](/tools/louisfb01-best-ai-paper-2020/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hiyouga-llamafactory`](/api/graphcanon/graph?tool=hiyouga-llamafactory) - 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/_