Comparison
llm vs modelz-llm
Verdict
Pick llm if decision-critical facts for 'llm'; pick modelz-llm if modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities.
Markdown twin · llm alternatives · modelz-llm alternatives
GraphCanon updated Sep 20, 2026
16views this month
Trust & integrity
| Signal | llm | modelz-llm |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 | Dormant (1073d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 | Not a fork · Organization 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 published findings from this source as of 2026-09-18 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
- llm
- Access large language models from the command-line
- modelz-llm
- OpenAI compatible API for LLMs and embeddings
Stars
- llm
- 12k
- modelz-llm
- 274
Forks
- llm
- 978
- modelz-llm
- 27
Open issues
- llm
- 689
- modelz-llm
- 12
Language
- llm
- Python
- modelz-llm
- Python
Adopt for
- llm
- Decision-critical facts for 'llm'
- modelz-llm
- Modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities.
Persona
- llm
- -
- modelz-llm
- -
Runtime
- llm
- -
- modelz-llm
- -
License
- llm
- Apache-2.0
- modelz-llm
- Apache-2.0
Last pushed
- llm
- Sep 2, 2026
- modelz-llm
- Oct 11, 2023
Categories
- llm
- Inference & Serving, LLM Frameworks
- modelz-llm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- llm
- Very active (96%)
- modelz-llm
- Dormant (18%)
Days since push
- llm
- 4d
- modelz-llm
- 1073d
Open issues (now)
- llm
- 689
- modelz-llm
- 12
Stars delta
- llm
- +149 (30d)
- modelz-llm
- -2 (30d)
Open issues delta
- llm
- +25 (30d)
- modelz-llm
- 0 (30d)
Owner type
- llm
- User
- modelz-llm
- Organization
OSV dependency advisories
- llm
- No lockfile (source not queried)
- modelz-llm
- No published findings from this source as of 2026-09-18
Full report
- llm
- Trust report
- modelz-llm
- Trust report
Shared compatibility
- Python · llm: Python runtime · modelz-llm: Python runtime
Choose llm if…
- Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities..
- Tags unique to llm: ai, llms, openai.
- - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods.
When NOT to use llm
- - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based.
- - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.
Choose modelz-llm if…
- Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs..
- Requirements: Min 4 GB RAM; Installation can be done via pip or from source for GPU support..
- Tags unique to modelz-llm: llm, nlp, openai-api, transformer.
- When you need an OpenAI compatible API for large language models like LLaMA, Vicuna, and ChatGLM.
When NOT to use modelz-llm
- If your project specifically requires a different API format that is not compatible with OpenAI's API.
- When the specific models supported by Modelz-llm do not meet your project's needs.
- If you are working in a non-Python environment and cannot use Python packages.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (simonw/llm) · observed Sep 20, 2026
- GitHub forks (simonw/llm) · observed Sep 20, 2026
- Last push (simonw/llm) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/modelz-llm) · observed Sep 20, 2026
- GitHub forks (tensorchord/modelz-llm) · observed Sep 20, 2026
- Last push (tensorchord/modelz-llm) · observed Oct 11, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: llm 12k · modelz-llm 274 (synced Sep 20, 2026).
Common questions
- What is the difference between llm and modelz-llm?
- llm: Access large language models from the command-line. modelz-llm: OpenAI compatible API for LLMs and embeddings. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm over modelz-llm?
- Choose llm over modelz-llm when Requirements: - Installation supports multiple methods including
pip, Homebrew (with caveats noted),pipx, anduv.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: ai, llms, openai; - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods. - When should I choose modelz-llm over llm?
- Choose modelz-llm over llm when Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Installation can be done via pip or from source for GPU support.; Tags unique to modelz-llm: llm, nlp, openai-api, transformer; When you need an OpenAI compatible API for large language models like LLaMA, Vicuna, and ChatGLM.
- When should I avoid llm?
- - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.
- When should I avoid modelz-llm?
- If your project specifically requires a different API format that is not compatible with OpenAI's API. When the specific models supported by Modelz-llm do not meet your project's needs. If you are working in a non-Python environment and cannot use Python packages.
- Is llm or modelz-llm more popular on GitHub?
- llm has more GitHub stars (12,473 vs 274). Stars measure visibility, not whether either tool fits your constraints.
- Are llm and modelz-llm open source?
- Yes - both are open-source projects on GitHub (llm: Apache-2.0, modelz-llm: Apache-2.0).
- Where can I find alternatives to llm or modelz-llm?
- GraphCanon lists graph-backed alternatives at llm alternatives and modelz-llm alternatives (llm markdown twin, modelz-llm 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 or modelz-llm?
- llm: Very active. modelz-llm: 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 and modelz-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm trust report; modelz-llm trust report.