--- title: "awesome-llms-fine-tuning vs heretic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/curated-awesome-lists-awesome-llms-fine-tuning-vs-p-e-w-heretic" tools: ["curated-awesome-lists-awesome-llms-fine-tuning", "p-e-w-heretic"] --- # awesome-llms-fine-tuning vs heretic *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-llms-fine-tuning if a curated list for LLM fine-tuning resources including tutorials, papers, and tools; pick heretic if heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. [awesome-llms-fine-tuning](https://github.com/Curated-Awesome-Lists/awesome-llms-fine-tuning) reports 527 GitHub stars, 80 forks, and 10 open issues, last pushed Sep 4, 2026. [heretic](https://heretic-project.org) has 32k stars, 3.5k forks, and 84 open issues, last pushed Sep 5, 2026. Figures are from public GitHub metadata via [awesome-llms-fine-tuning's repository](https://github.com/Curated-Awesome-Lists/awesome-llms-fine-tuning) and [heretic's repository](https://github.com/p-e-w/heretic). | | [awesome-llms-fine-tuning](/tools/curated-awesome-lists-awesome-llms-fine-tuning.md) | [heretic](/tools/p-e-w-heretic.md) | | --- | --- | --- | | Tagline | A comprehensive collection of resources for fine-tuning Large Language Models. | Fully automatic censorship removal for language models | | Stars | 527 | 31,738 | | Forks | 80 | 3,547 | | Open issues | 10 | 84 | | Language | - | Python | | Adopt for | A curated list for LLM fine-tuning resources including tutorials, papers, and tools. | Heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. | | Persona | - | - | | Runtime | - | - | | License | (unknown) - (unknown) | Heretic is licensed under the AGPL-3.0, which requires that any derivative works be open source and distributed under the same license. | | Categories | LLM Frameworks, Model Training | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-llms-fine-tuning](/tools/curated-awesome-lists-awesome-llms-fine-tuning.md) | [heretic](/tools/p-e-w-heretic.md) | | --- | --- | --- | | Days since push | 14d | 12d | | Open issues (now) | 10 | 84 | | Stars delta | +2 (30d) | +4.0k (30d) | | Open issues delta | +1 (30d) | +10 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/curated-awesome-lists-awesome-llms-fine-tuning/trust.md) | [trust report](/tools/p-e-w-heretic/trust.md) | ## Decision facts: awesome-llms-fine-tuning - **Adopt for:** A curated list for LLM fine-tuning resources including tutorials, papers, and tools. - **License detail:** (unknown) - (unknown) ## Decision facts: heretic - **Requirements:** Heretic is a Python-based tool, so Python must be installed on the system where it will be used. - **Adopt for:** Heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. - **License detail:** Heretic is licensed under the AGPL-3.0, which requires that any derivative works be open source and distributed under the same license. ## Choose when ### Choose awesome-llms-fine-tuning if… - Tags unique to awesome-llms-fine-tuning: ai, awesome-list, deep-learning, fine-tuning. - Also covers Model Training. - Need extensive guidance on LLM-specific fine-tuning strategies ### Choose heretic if… - Requirements: Heretic is a Python-based tool, so Python must be installed on the system where it will be used.. - Tags unique to heretic: abliteration, llm, transformer. - When you need to automatically remove censorship from language models and are comfortable with the AGPL-3.0 license, which requires that any derivative works be open source. ## When NOT to use awesome-llms-fine-tuning - Looking for real-time interactive support or direct code implementation help - Favor more specialized tools for immediate performance optimization over broad learning ## When NOT to use heretic - If your project cannot comply with the AGPL-3.0 license, as it mandates that any derivative works must also be open source. - When you are looking for a tool that does not automatically remove censorship, as Heretic is specifically designed for this purpose and may not align with projects that require manual or selective de- ## Common questions ### What is the difference between awesome-llms-fine-tuning and heretic? awesome-llms-fine-tuning: A comprehensive collection of resources for fine-tuning Large Language Models.. heretic: Fully automatic censorship removal for language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-llms-fine-tuning over heretic? Choose awesome-llms-fine-tuning over heretic when Tags unique to awesome-llms-fine-tuning: ai, awesome-list, deep-learning, fine-tuning; Also covers Model Training; Need extensive guidance on LLM-specific fine-tuning strategies. ### When should I choose heretic over awesome-llms-fine-tuning? Choose heretic over awesome-llms-fine-tuning when Requirements: Heretic is a Python-based tool, so Python must be installed on the system where it will be used.; Tags unique to heretic: abliteration, llm, transformer; When you need to automatically remove censorship from language models and are comfortable with the AGPL-3.0 license, which requires that any derivative works be open source. ### When should I avoid awesome-llms-fine-tuning? Looking for real-time interactive support or direct code implementation help Favor more specialized tools for immediate performance optimization over broad learning ### When should I avoid heretic? If your project cannot comply with the AGPL-3.0 license, as it mandates that any derivative works must also be open source. When you are looking for a tool that does not automatically remove censorship, as Heretic is specifically designed for this purpose and may not align with projects that require manual or selective de- ### Is awesome-llms-fine-tuning or heretic more popular on GitHub? heretic has more GitHub stars (31,738 vs 527). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-llms-fine-tuning and heretic open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-llms-fine-tuning or heretic? GraphCanon lists graph-backed alternatives at [awesome-llms-fine-tuning alternatives](/tools/curated-awesome-lists-awesome-llms-fine-tuning/alternatives) and [heretic alternatives](/tools/p-e-w-heretic/alternatives) ([awesome-llms-fine-tuning markdown twin](/tools/curated-awesome-lists-awesome-llms-fine-tuning/alternatives.md), [heretic markdown twin](/tools/p-e-w-heretic/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/curated-awesome-lists-awesome-llms-fine-tuning-vs-p-e-w-heretic.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-llms-fine-tuning or heretic? awesome-llms-fine-tuning: Active. heretic: Active. 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 awesome-llms-fine-tuning and heretic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llms-fine-tuning trust report](/tools/curated-awesome-lists-awesome-llms-fine-tuning/trust); [heretic trust report](/tools/p-e-w-heretic/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=curated-awesome-lists-awesome-llms-fine-tuning`](/api/graphcanon/graph?tool=curated-awesome-lists-awesome-llms-fine-tuning) - 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/_