Home/Compare/Awesome-LLM-Compression vs heretic

Comparison

Awesome-LLM-Compression vs heretic

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.

Markdown twin · Awesome-LLM-Compression alternatives · heretic alternatives

GraphCanon updated Oct 11, 2026

10views this month

Awesome-LLM-Compression logo

Awesome-LLM-Compression

HuangOwen/Awesome-LLM-Compression

★ 1.9kpushed Aug 27, 2026
vs
heretic logo

heretic

p-e-w/heretic

★ 32kpushed Sep 5, 2026

Trust & integrity

SignalAwesome-LLM-Compressionheretic
Maintenance
Steady (44d since push)
As of Oct 11, 2026 · github_public_v1
Active (12d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Oct 11, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

Awesome-LLM-Compression
Awesome LLM compression research papers and tools to accelerate LLM training and inference.
heretic
Fully automatic censorship removal for language models

Stars

Awesome-LLM-Compression
1.9k
heretic
32k

Forks

Awesome-LLM-Compression
134
heretic
3.5k

Open issues

Awesome-LLM-Compression
5
heretic
84

Language

Awesome-LLM-Compression
-
heretic
Python

Adopt for

Awesome-LLM-Compression
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
Heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology.

Persona

Awesome-LLM-Compression
-
heretic
-

Runtime

Awesome-LLM-Compression
-
heretic
-

License

Awesome-LLM-Compression
MIT License
heretic
Heretic is licensed under the AGPL-3.0, which requires that any derivative works be open source and distributed under the same license.

Last pushed

Awesome-LLM-Compression
Aug 27, 2026
heretic
Sep 5, 2026

Categories

Awesome-LLM-Compression
Inference & Serving, LLM Frameworks
heretic
LLM Frameworks

Trust and health

Maintenance

Awesome-LLM-Compression
Steady (60%)
heretic
Active (82%)

Days since push

Awesome-LLM-Compression
44d
heretic
12d

Open issues (now)

Awesome-LLM-Compression
5
heretic
84

Stars delta

Awesome-LLM-Compression
+17 (30d)
heretic
+4.0k (30d)

Open issues delta

Awesome-LLM-Compression
+3 (30d)
heretic
+10 (30d)

Full report

Awesome-LLM-Compression
Trust report

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.

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.

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 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-

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Awesome-LLM-Compression 1.9k · heretic 32k (synced Oct 11, 2026).

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 and heretic alternatives (Awesome-LLM-Compression markdown twin, heretic markdown twin), 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 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; heretic trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.