Comparison
Aquila2 vs llm-course
Verdict
Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick llm-course if llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks.
Markdown twin · Aquila2 alternatives · llm-course alternatives
GraphCanon updated Sep 20, 2026
9views this month
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Trust & integrity
| Signal | Aquila2 | llm-course |
|---|---|---|
| Maintenance | Dormant (708d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (224d since push) As of Sep 18, 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 Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- Aquila2
- Official repository for Aquila2 series large language models by BAAI
- llm-course
- Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Stars
- Aquila2
- 445
- llm-course
- 83k
Forks
- Aquila2
- 32
- llm-course
- 9.7k
Open issues
- Aquila2
- 2
- llm-course
- 90
Language
- Aquila2
- Python
- llm-course
- -
Adopt for
- Aquila2
- Official suite for Aquila2 series LLM by BAAI
- llm-course
- llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks.
Persona
- Aquila2
- -
- llm-course
- -
Runtime
- Aquila2
- -
- llm-course
- -
License
- Aquila2
- (unknown)
- llm-course
- Apache-2.0
Last pushed
- Aquila2
- Oct 11, 2024
- llm-course
- Feb 5, 2026
Categories
- Aquila2
- Inference & Serving, LLM Frameworks, Model Training
- llm-course
- Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- Aquila2
- Dormant (18%)
- llm-course
- Slowing (36%)
Days since push
- Aquila2
- 708d
- llm-course
- 224d
Open issues (now)
- Aquila2
- 2
- llm-course
- 90
Stars delta
- Aquila2
- -1 (30d)
- llm-course
- +1.5k (30d)
Open issues delta
- Aquila2
- 0 (30d)
- llm-course
- +4 (30d)
Owner type
- Aquila2
- Organization
- llm-course
- User
Full report
- Aquila2
- Trust report
- llm-course
- Trust report
Shared compatibility
- Python · Aquila2: Python runtime · llm-course: Python runtime
Choose Aquila2 if…
- Tags unique to Aquila2: llm-inference, llm-training.
- Need specialized support from Beijing Academy of Artificial Intelligence
- Leaner open-issue backlog (2).
When NOT to use Aquila2
- Require comprehensive API and documentation clarity
- Preferring open source licensing details
Choose llm-course if…
- Tags unique to llm-course: course, large-language-models, machine-learning, roadmap.
- Also covers Developer Tools, Evaluation & Observability.
- Use llm-course if you are looking for a structured learning path that includes both theoretical and practical aspects of LLMs, from fundamentals to deployment.
When NOT to use llm-course
- Avoid llm-course if you are seeking a course that focuses solely on theoretical aspects without practical implementation.
- Do not use llm-course if you prefer a more formal certification program or a course that is part of a university curriculum.
- Skip llm-course if you are looking for a tool that provides only code snippets or pre-built models without a structured learning path.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FlagAI-Open/Aquila2) · observed Sep 20, 2026
- GitHub forks (FlagAI-Open/Aquila2) · observed Sep 20, 2026
- Last push (FlagAI-Open/Aquila2) · observed Oct 11, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mlabonne/llm-course) · observed Sep 20, 2026
- GitHub forks (mlabonne/llm-course) · observed Sep 20, 2026
- Last push (mlabonne/llm-course) · observed Feb 5, 2026
- 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: Aquila2 445 · llm-course 83k (synced Sep 20, 2026).
Common questions
- What is the difference between Aquila2 and llm-course?
- Aquila2: Official repository for Aquila2 series large language models by BAAI. llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Aquila2 over llm-course?
- Choose Aquila2 over llm-course when Tags unique to Aquila2: llm-inference, llm-training; Need specialized support from Beijing Academy of Artificial Intelligence; Leaner open-issue backlog (2).
- When should I choose llm-course over Aquila2?
- Choose llm-course over Aquila2 when Tags unique to llm-course: course, large-language-models, machine-learning, roadmap; Also covers Developer Tools, Evaluation & Observability; Use llm-course if you are looking for a structured learning path that includes both theoretical and practical aspects of LLMs, from fundamentals to deployment.
- When should I avoid Aquila2?
- Require comprehensive API and documentation clarity Preferring open source licensing details
- When should I avoid llm-course?
- Avoid llm-course if you are seeking a course that focuses solely on theoretical aspects without practical implementation. Do not use llm-course if you prefer a more formal certification program or a course that is part of a university curriculum. Skip llm-course if you are looking for a tool that provides only code snippets or pre-built models without a structured learning path.
- Is Aquila2 or llm-course more popular on GitHub?
- llm-course has more GitHub stars (83,011 vs 445). Stars measure visibility, not whether either tool fits your constraints.
- Are Aquila2 and llm-course open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Aquila2 or llm-course?
- GraphCanon lists graph-backed alternatives at Aquila2 alternatives and llm-course alternatives (Aquila2 markdown twin, llm-course 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, Aquila2 or llm-course?
- Aquila2: Dormant. llm-course: Slowing. 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 Aquila2 and llm-course?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Aquila2 trust report; llm-course trust report.