Comparison
llm vs exllama
Verdict
Pick llm when license: llm is Apache-2.0, exllama is MIT; pick exllama when license: exllama is MIT, llm is Apache-2.0.
Markdown twin · llm alternatives · exllama alternatives
GraphCanon updated today
Trust & integrity
| Signal | llm | exllama |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Dormant (1014d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 29 low (29 low) As of today · osv@v1 |
Tagline
- llm
- Access large language models from the command-line
- exllama
- More memory-efficient rewrite of HF transformers for Llama with quantized weights
Stars
- llm
- 12k
- exllama
- 2.9k
Forks
- llm
- 920
- exllama
- 223
Open issues
- llm
- 645
- exllama
- 65
Language
- llm
- Python
- exllama
- Python
Adopt for
- llm
- Decision-critical facts for 'llm'
- exllama
- -
Persona
- llm
- -
- exllama
- -
Runtime
- llm
- -
- exllama
- -
License
- llm
- Apache-2.0
- exllama
- MIT
Last pushed
- llm
- Jul 9, 2026
- exllama
- Sep 30, 2023
Categories
- llm
- LLM Frameworks, Inference & Serving
- exllama
- LLM Frameworks, Inference & Serving
Trust and health
Maintenance
- llm
- Very active (96%)
- exllama
- Dormant (18%)
Days since push
- llm
- 1d
- exllama
- 1014d
Open issues (now)
- llm
- 645
- exllama
- 65
Security scan
- llm
- No lockfile
- exllama
- 29 low (29 low)
Full report
- llm
- Trust report
- exllama
- Trust report
Choose llm if…
- License: llm is Apache-2.0, exllama is MIT.
- 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: llms, ai, 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 exllama if…
- License: exllama is MIT, llm is Apache-2.0.
- Tags unique to exllama: nvidia support, gpu optimization, memory efficiency, docker container support.
- exllama ships Docker support for self-hosted deployment.
When NOT to use exllama
- Last GitHub push was 1015 days ago (dormant maintenance, Sep 30, 2023). Validate activity before betting a new project on exllama.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 Jul 11, 2026
- GitHub forks (simonw/llm) · observed Jul 11, 2026
- Last push (simonw/llm) · observed Jul 9, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (turboderp/exllama) · observed Jul 11, 2026
- GitHub forks (turboderp/exllama) · observed Jul 11, 2026
- Last push (turboderp/exllama) · observed Sep 30, 2023
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm 12k · exllama 2.9k (synced Jul 11, 2026).
Common questions
- What is the difference between llm and exllama?
- llm: Access large language models from the command-line. exllama: More memory-efficient rewrite of HF transformers for Llama with quantized weights. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm over exllama?
- Choose llm over exllama when License: llm is Apache-2.0, exllama is MIT; 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: llms, ai, 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 exllama over llm?
- Choose exllama over llm when License: exllama is MIT, llm is Apache-2.0; Tags unique to exllama: nvidia support, gpu optimization, memory efficiency, docker container support; exllama ships Docker support for self-hosted deployment.
- 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 exllama?
- Last GitHub push was 1015 days ago (dormant maintenance, Sep 30, 2023). Validate activity before betting a new project on exllama. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is llm or exllama more popular on GitHub?
- llm has more GitHub stars (12,172 vs 2,930). Stars measure visibility, not whether either tool fits your constraints.
- Are llm and exllama open source?
- Yes - both are open-source projects on GitHub (llm: Apache-2.0, exllama: MIT).
- Where can I find alternatives to llm or exllama?
- GraphCanon lists graph-backed alternatives at llm alternatives and exllama alternatives (llm markdown twin, exllama 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 exllama?
- llm: Very active. exllama: 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 exllama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm trust report; exllama trust report.