--- title: "Awesome-LLM-Compression vs heretic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huangowen-awesome-llm-compression-vs-p-e-w-heretic" tools: ["huangowen-awesome-llm-compression", "p-e-w-heretic"] --- # Awesome-LLM-Compression vs heretic *GraphCanon updated Oct 11, 2026* ## Verdict Pick Awesome-LLM-Compression if awesome LLM-Compression curates a comprehensive collection of research papers and tools aimed at compressing large language models, focusing on enhancing computational efficiency during both training and serving phases; pick heretic if heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. [Awesome-LLM-Compression](https://github.com/HuangOwen/Awesome-LLM-Compression) reports 1.9k GitHub stars, 134 forks, and 5 open issues, last pushed Aug 27, 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-LLM-Compression's repository](https://github.com/HuangOwen/Awesome-LLM-Compression) and [heretic's repository](https://github.com/p-e-w/heretic). | | [Awesome-LLM-Compression](/tools/huangowen-awesome-llm-compression.md) | [heretic](/tools/p-e-w-heretic.md) | | --- | --- | --- | | Tagline | Awesome LLM compression research papers and tools to accelerate LLM training and inference. | Fully automatic censorship removal for language models | | Stars | 1,883 | 31,738 | | Forks | 134 | 3,547 | | Open issues | 5 | 84 | | Language | - | Python | | Adopt for | Awesome LLM-Compression curates a comprehensive collection of research papers and tools aimed at compressing large language models, focusing on enhancing computational efficiency during both training and serving phases. | Heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. | | Persona | - | - | | Runtime | - | - | | License | MIT License | Heretic is licensed under the AGPL-3.0, which requires that any derivative works be open source and distributed under the same license. | | Categories | Inference & Serving, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-LLM-Compression](/tools/huangowen-awesome-llm-compression.md) | [heretic](/tools/p-e-w-heretic.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 44d | 12d | | Open issues (now) | 5 | 84 | | Stars delta | +17 (30d) | +4.0k (30d) | | Open issues delta | +3 (30d) | +10 (30d) | | Full report | [trust report](/tools/huangowen-awesome-llm-compression/trust.md) | [trust report](/tools/p-e-w-heretic/trust.md) | ## Decision facts: Awesome-LLM-Compression - **Requirements:** The repository provides curated listings but does not develop its own software; hence specific language requirements are not applicable. - **Adopt for:** Awesome LLM-Compression curates a comprehensive collection of research papers and tools aimed at compressing large language models, focusing on enhancing computational efficiency during both training and serving phases. - **License detail:** MIT License ## 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-LLM-Compression if… - License: Awesome-LLM-Compression is MIT, heretic is AGPL-3.0. - Requirements: The repository provides curated listings but does not develop its own software; hence specific language requirements are not applicable.. - Tags unique to Awesome-LLM-Compression: compression, efficiency, research papers, training acceleration. - Also covers Inference & Serving. - When you need to explore the latest advancements in LLM compression techniques and their impact on both training and inference. ### Choose heretic if… - License: heretic is AGPL-3.0, Awesome-LLM-Compression is MIT. - 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-LLM-Compression - Avoid relying solely on Awesome LLM-Compression if you require a hands-on toolset rather than theoretical frameworks and research papers, as it focuses more on consolidating the survey information. - If your immediate need is for proprietary or commercial tools that offer out-of-the-box functionality, since this resource mainly links to academic research and open-source projects. ## 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-LLM-Compression and heretic? Awesome-LLM-Compression: Awesome LLM compression research papers and tools to accelerate LLM training and inference.. heretic: Fully automatic censorship removal for language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-LLM-Compression over heretic? Choose Awesome-LLM-Compression over heretic when License: Awesome-LLM-Compression is MIT, heretic is AGPL-3.0; Requirements: The repository provides curated listings but does not develop its own software; hence specific language requirements are not applicable.; Tags unique to Awesome-LLM-Compression: compression, efficiency, research papers, training acceleration; Also covers Inference & Serving; When you need to explore the latest advancements in LLM compression techniques and their impact on both training and inference. ### When should I choose heretic over Awesome-LLM-Compression? Choose heretic over Awesome-LLM-Compression when License: heretic is AGPL-3.0, Awesome-LLM-Compression is MIT; 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-LLM-Compression? Avoid relying solely on Awesome LLM-Compression if you require a hands-on toolset rather than theoretical frameworks and research papers, as it focuses more on consolidating the survey information. If your immediate need is for proprietary or commercial tools that offer out-of-the-box functionality, since this resource mainly links to academic research and open-source projects. ### 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-LLM-Compression or heretic more popular on GitHub? heretic has more GitHub stars (31,738 vs 1,883). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-LLM-Compression and heretic open source? Yes - both are open-source projects on GitHub (Awesome-LLM-Compression: MIT, heretic: AGPL-3.0). ### Where can I find alternatives to Awesome-LLM-Compression or heretic? GraphCanon lists graph-backed alternatives at [Awesome-LLM-Compression alternatives](/tools/huangowen-awesome-llm-compression/alternatives) and [heretic alternatives](/tools/p-e-w-heretic/alternatives) ([Awesome-LLM-Compression markdown twin](/tools/huangowen-awesome-llm-compression/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/huangowen-awesome-llm-compression-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-LLM-Compression or heretic? Awesome-LLM-Compression: Steady. 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-LLM-Compression and heretic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-LLM-Compression trust report](/tools/huangowen-awesome-llm-compression/trust); [heretic trust report](/tools/p-e-w-heretic/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=huangowen-awesome-llm-compression`](/api/graphcanon/graph?tool=huangowen-awesome-llm-compression) - 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/_