Home/Compare/aikit vs exllama

Comparison

aikit vs exllama

Verdict

Pick aikit when aikit is primarily Go; exllama is Python; pick exllama when exllama is primarily Python; aikit is Go.

Markdown twin · aikit alternatives · exllama alternatives

GraphCanon updated today

aikit logo

aikit

kaito-project/aikit

533pushed Jul 11, 2026
vs
exllama logo

exllama

turboderp/exllama

2.9kpushed Sep 30, 2023

Trust & integrity

Signalaikitexllama
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (1014d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization 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

aikit
Fine-tune, build, and deploy open-source LLMs easily!
exllama
More memory-efficient rewrite of HF transformers for Llama with quantized weights

Stars

aikit
533
exllama
2.9k

Forks

aikit
57
exllama
223

Open issues

aikit
41
exllama
65

Language

aikit
Go
exllama
Python

Adopt for

aikit
Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.
exllama
-

Persona

aikit
-
exllama
-

Runtime

aikit
-
exllama
-

License

aikit
MIT
exllama
MIT

Last pushed

aikit
Jul 11, 2026
exllama
Sep 30, 2023

Categories

aikit
LLM Frameworks, Model Training, Inference & Serving
exllama
LLM Frameworks, Inference & Serving

Trust and health

Maintenance

aikit
Very active (96%)
exllama
Dormant (18%)

Days since push

aikit
0d
exllama
1014d

Open issues (now)

aikit
41
exllama
65

Owner type

aikit
Organization
exllama
User

Security scan

aikit
No lockfile
exllama
29 low (29 low)

Full report

Choose aikit if…

  • aikit is primarily Go; exllama is Python.
  • Tags unique to aikit: gemma, fine-tuning, ai, docker.
  • Also covers Model Training.
  • - You need a flexible solution specifically built using Go and prefer its concurrency model.

When NOT to use aikit

  • - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit.
  • - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.

Choose exllama if…

  • exllama is primarily Python; aikit is Go.
  • Tags unique to exllama: nvidia support, gpu optimization, memory efficiency, docker container support.
  • More GitHub stars (2.9k vs 533) - visibility, not fit.

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 on cards: aikit 533 · exllama 2.9k (synced Jul 11, 2026).

Common questions

What is the difference between aikit and exllama?
aikit: Fine-tune, build, and deploy open-source LLMs easily!. 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 aikit over exllama?
Choose aikit over exllama when aikit is primarily Go; exllama is Python; Tags unique to aikit: gemma, fine-tuning, ai, docker; Also covers Model Training; - You need a flexible solution specifically built using Go and prefer its concurrency model.
When should I choose exllama over aikit?
Choose exllama over aikit when exllama is primarily Python; aikit is Go; Tags unique to exllama: nvidia support, gpu optimization, memory efficiency, docker container support; More GitHub stars (2.9k vs 533) - visibility, not fit.
When should I avoid aikit?
- You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
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 aikit or exllama more popular on GitHub?
exllama has more GitHub stars (2,930 vs 533). Stars measure visibility, not whether either tool fits your constraints.
Are aikit and exllama open source?
Yes - both are open-source projects on GitHub (aikit: MIT, exllama: MIT).
Where can I find alternatives to aikit or exllama?
GraphCanon lists graph-backed alternatives at aikit alternatives and exllama alternatives (aikit 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, aikit or exllama?
aikit: 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 aikit and exllama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aikit trust report; exllama trust report.