Home/Compare/llm-course vs exllama

Comparison

llm-course vs exllama

Verdict

Pick llm-course when license: llm-course is Apache-2.0, exllama is MIT; pick exllama when license: exllama is MIT, llm-course is Apache-2.0.

Markdown twin · llm-course alternatives · exllama alternatives

GraphCanon updated today

llm-course logo

llm-course

mlabonne/llm-course

81kpushed Feb 5, 2026
vs
exllama logo

exllama

turboderp/exllama

2.9kpushed Sep 30, 2023

Trust & integrity

Signalllm-courseexllama
Maintenance
Slowing (155d 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-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
exllama
More memory-efficient rewrite of HF transformers for Llama with quantized weights

Stars

llm-course
81k
exllama
2.9k

Forks

llm-course
9.4k
exllama
223

Open issues

llm-course
84
exllama
65

Language

llm-course
-
exllama
Python

Adopt for

llm-course
The llm-course provides a comprehensive guided course on Large Language Models (LLMs), divided into three parts: LLM Fundamentals, The LLM Scientist, and The LLM Engineer. It includes resources such as Colab notebooks to
exllama
-

Persona

llm-course
-
exllama
-

Runtime

llm-course
-
exllama
-

License

llm-course
Apache-2.0
exllama
MIT

Last pushed

llm-course
Feb 5, 2026
exllama
Sep 30, 2023

Categories

llm-course
Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
exllama
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

llm-course
Slowing (36%)
exllama
Dormant (18%)

Days since push

llm-course
155d
exllama
1014d

Open issues (now)

llm-course
84
exllama
65

Security scan

llm-course
No lockfile
exllama
29 low (29 low)

Full report

llm-course
Trust report

Choose llm-course if…

  • License: llm-course is Apache-2.0, exllama is MIT.
  • Requirements: Course materials are available in Colab notebooks; access requires a Google account.
  • Tags unique to llm-course: colab-notebooks, course, large-language-models, machine-learning.
  • Also covers Evaluation & Observability, Model Training.
  • - When you want a comprehensive roadmap for understanding large language models including fundamental knowledge

When NOT to use llm-course

  • - If you only require a quick introduction to LLMs without deep dive into core components
  • - When you prefer working directly with commercial platforms that provide complete services rather than following detailed steps on building and deploying models yourself through this course's open,DI

Choose exllama if…

  • License: exllama is MIT, llm-course is Apache-2.0.
  • Tags unique to exllama: docker container support, gpu optimization, memory efficiency, nvidia 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.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

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

GitHub stars on cards: llm-course 81k · exllama 2.9k (synced Jul 11, 2026).

Common questions

What is the difference between llm-course and exllama?
llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.. 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-course over exllama?
Choose llm-course over exllama when License: llm-course is Apache-2.0, exllama is MIT; Requirements: Course materials are available in Colab notebooks; access requires a Google account; Tags unique to llm-course: colab-notebooks, course, large-language-models, machine-learning; Also covers Evaluation & Observability, Model Training; - When you want a comprehensive roadmap for understanding large language models including fundamental knowledge.
When should I choose exllama over llm-course?
Choose exllama over llm-course when License: exllama is MIT, llm-course is Apache-2.0; Tags unique to exllama: docker container support, gpu optimization, memory efficiency, nvidia support; exllama ships Docker support for self-hosted deployment.
When should I avoid llm-course?
- If you only require a quick introduction to LLMs without deep dive into core components - When you prefer working directly with commercial platforms that provide complete services rather than following detailed steps on building and deploying models yourself through this course's open,DI
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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is llm-course or exllama more popular on GitHub?
llm-course has more GitHub stars (80,839 vs 2,930). Stars measure visibility, not whether either tool fits your constraints.
Are llm-course and exllama open source?
Yes - both are open-source projects on GitHub (llm-course: Apache-2.0, exllama: MIT).
Where can I find alternatives to llm-course or exllama?
GraphCanon lists graph-backed alternatives at llm-course alternatives and exllama alternatives (llm-course 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-course or exllama?
llm-course: Slowing. 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-course and exllama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-course trust report; exllama trust report.