Comparison
LLM-VM vs LLMmap
Verdict
Pick LLM-VM if lLM-VM is a Python-based repository aimed at LLM development, highlighting tools for distillation, training, and inference; pick LLMmap if lLMmap is a Python-based tool for quick inference using pretrained models without needing additional training. It includes PyTorch weights, configuration files, and behavioral templates tailored to 52 different LLMs.
Markdown twin · LLM-VM alternatives · LLMmap alternatives
GraphCanon updated Oct 5, 2026
Trust & integrity
| Signal | LLM-VM | LLMmap |
|---|---|---|
| Maintenance | Dormant (858d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (437d since push) As of Oct 5, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Oct 5, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 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
- LLM-VM
- irresponsible innovation
- LLMmap
- Provides a ready-to-use pretrained model for open-set inference with PyTorch weights, configuration file, and behavioral templates.
Stars
- LLM-VM
- 492
- LLMmap
- 469
Forks
- LLM-VM
- 139
- LLMmap
- 51
Open issues
- LLM-VM
- 130
- LLMmap
- 6
Language
- LLM-VM
- Python
- LLMmap
- Python
Adopt for
- LLM-VM
- LLM-VM is a Python-based repository aimed at LLM development, highlighting tools for distillation, training, and inference.
- LLMmap
- LLMmap is a Python-based tool for quick inference using pretrained models without needing additional training. It includes PyTorch weights, configuration files, and behavioral templates tailored to 52 different LLMs.
Persona
- LLM-VM
- -
- LLMmap
- -
Runtime
- LLM-VM
- -
- LLMmap
- -
License
- LLM-VM
- MIT
- LLMmap
- MIT
Last pushed
- LLM-VM
- May 14, 2024
- LLMmap
- Jul 24, 2025
Categories
- LLM-VM
- Inference & Serving, LLM Frameworks, Model Training
- LLMmap
- Inference & Serving, Model Training
Trust and health
Days since push
- LLM-VM
- 858d
- LLMmap
- 437d
Open issues (now)
- LLM-VM
- 130
- LLMmap
- 6
Stars delta
- LLM-VM
- +1 (30d)
- LLMmap
- +25 (30d)
Open issues delta
- LLM-VM
- -1 (30d)
- LLMmap
- 0 (30d)
Owner type
- LLM-VM
- Organization
- LLMmap
- User
OSV dependency advisories
- LLM-VM
- No lockfile (source not queried)
- LLMmap
- Published findings
Full report
- LLM-VM
- Trust report
- LLMmap
- Trust report
Shared compatibility
- Python · LLM-VM: Python runtime · LLMmap: Python runtime
Choose LLM-VM if…
- Tags unique to LLM-VM: artificial-intelligence, deep-learning, distillation, llm-agent.
- Also covers LLM Frameworks.
- LLM-VM ships Docker support for self-hosted deployment.
- When you need streamlined processes for model distillation in your project.
When NOT to use LLM-VM
- Avoid if strict adherence to responsible AI principles is a requirement.
- Not recommended for large-scale commercial deployments that necessitate stable and thoroughly validated tools.
Choose LLMmap if…
- Tags unique to LLMmap: llms, open-set inference, pretrained-models, python.
- When you need immediate model deployment and don't want or can’t afford the time to train a custom model.
- More recently updated (last pushed Jul 24, 2025).
When NOT to use LLMmap
- If your application requires fine-tuning on specific datasets as LLMmap offers only generic pretrained models without out-of-the-box support for further training.
- In scenarios needing advanced customization beyond the provided behavioral templates, since LLMmap’s framework might not accommodate extensive model modifications.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (anarchy-ai/LLM-VM) · observed Sep 20, 2026
- GitHub forks (anarchy-ai/LLM-VM) · observed Sep 20, 2026
- Last push (anarchy-ai/LLM-VM) · observed May 14, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pasquini-dario/LLMmap) · observed Oct 5, 2026
- GitHub forks (pasquini-dario/LLMmap) · observed Oct 5, 2026
- Last push (pasquini-dario/LLMmap) · observed Jul 24, 2025
- License file (MIT) · observed Oct 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLM-VM 492 · LLMmap 469 (synced Sep 20, 2026).
Common questions
- What is the difference between LLM-VM and LLMmap?
- LLM-VM: irresponsible innovation. LLMmap: Provides a ready-to-use pretrained model for open-set inference with PyTorch weights, configuration file, and behavioral templates.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLM-VM over LLMmap?
- Choose LLM-VM over LLMmap when Tags unique to LLM-VM: artificial-intelligence, deep-learning, distillation, llm-agent; Also covers LLM Frameworks; LLM-VM ships Docker support for self-hosted deployment; When you need streamlined processes for model distillation in your project.
- When should I choose LLMmap over LLM-VM?
- Choose LLMmap over LLM-VM when Tags unique to LLMmap: llms, open-set inference, pretrained-models, python; When you need immediate model deployment and don't want or can’t afford the time to train a custom model; More recently updated (last pushed Jul 24, 2025).
- When should I avoid LLM-VM?
- Avoid if strict adherence to responsible AI principles is a requirement. Not recommended for large-scale commercial deployments that necessitate stable and thoroughly validated tools.
- When should I avoid LLMmap?
- If your application requires fine-tuning on specific datasets as LLMmap offers only generic pretrained models without out-of-the-box support for further training. In scenarios needing advanced customization beyond the provided behavioral templates, since LLMmap’s framework might not accommodate extensive model modifications.
- Is LLM-VM or LLMmap more popular on GitHub?
- LLM-VM has more GitHub stars (492 vs 469). Stars measure visibility, not whether either tool fits your constraints.
- Are LLM-VM and LLMmap open source?
- Yes - both are open-source projects on GitHub (LLM-VM: MIT, LLMmap: MIT).
- Where can I find alternatives to LLM-VM or LLMmap?
- GraphCanon lists graph-backed alternatives at LLM-VM alternatives and LLMmap alternatives (LLM-VM markdown twin, LLMmap 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, LLM-VM or LLMmap?
- LLM-VM: Dormant. LLMmap: 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 LLM-VM and LLMmap?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLM-VM trust report; LLMmap trust report.