Comparison
Aquila2 vs airllm
Verdict
Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick airllm if airLLM is a repository that enables the inference of a 70B parameter model using a single 4GB GPU, with a focus on Chinese language models and generative AI.
Markdown twin · Aquila2 alternatives · airllm alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | Aquila2 | airllm |
|---|---|---|
| Maintenance | Dormant (708d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d 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 | Published findings 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
- airllm
- Inference for AirLLM 70B model with single 4GB GPU
Stars
- Aquila2
- 445
- airllm
- 35k
Forks
- Aquila2
- 32
- airllm
- 3.6k
Open issues
- Aquila2
- 2
- airllm
- 155
Language
- Aquila2
- Python
- airllm
- Jupyter Notebook
Adopt for
- Aquila2
- Official suite for Aquila2 series LLM by BAAI
- airllm
- AirLLM is a repository that enables the inference of a 70B parameter model using a single 4GB GPU, with a focus on Chinese language models and generative AI.
Persona
- Aquila2
- -
- airllm
- -
Runtime
- Aquila2
- -
- airllm
- -
License
- Aquila2
- (unknown)
- airllm
- Apache-2.0
Last pushed
- Aquila2
- Oct 11, 2024
- airllm
- Sep 18, 2026
Categories
- Aquila2
- Inference & Serving, LLM Frameworks, Model Training
- airllm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- Aquila2
- Dormant (18%)
- airllm
- Very active (96%)
Days since push
- Aquila2
- 708d
- airllm
- 0d
Open issues (now)
- Aquila2
- 2
- airllm
- 155
Stars delta
- Aquila2
- -1 (30d)
- airllm
- +10k (30d)
Open issues delta
- Aquila2
- 0 (30d)
- airllm
- +40 (30d)
Owner type
- Aquila2
- Organization
- airllm
- User
OSV dependency advisories
- Aquila2
- No lockfile (source not queried)
- airllm
- Published findings
Full report
- Aquila2
- Trust report
- airllm
- Trust report
Shared compatibility
- Python · Aquila2: Python runtime · airllm: Python runtime
Choose Aquila2 if…
- Aquila2 is primarily Python; airllm is Jupyter Notebook.
- Tags unique to Aquila2: llm-inference, llm-training.
- Also covers Model Training.
- Need specialized support from Beijing Academy of Artificial Intelligence
When NOT to use Aquila2
- Require comprehensive API and documentation clarity
- Preferring open source licensing details
Choose airllm if…
- airllm is primarily Jupyter Notebook; Aquila2 is Python.
- Requirements: Min 4 GB RAM; Installation is straightforward via pip..
- Tags unique to airllm: chinese-llm, chinese-nlp, finetune, generative-ai.
- When you need to perform inference on a 70B parameter model with limited GPU resources, such as a single 4GB GPU.
When NOT to use airllm
- If your project requires inference on models larger than 70B parameters or if you have access to more powerful GPUs than a 4GB model.
- For projects that do not involve Chinese language models or generative AI tasks, as AirLLM is specifically optimized for these areas.
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 (lyogavin/airllm) · observed Sep 20, 2026
- GitHub forks (lyogavin/airllm) · observed Sep 20, 2026
- Last push (lyogavin/airllm) · observed Sep 18, 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 · airllm 35k (synced Sep 20, 2026).
Common questions
- What is the difference between Aquila2 and airllm?
- Aquila2: Official repository for Aquila2 series large language models by BAAI. airllm: Inference for AirLLM 70B model with single 4GB GPU. See the comparison table for live GitHub stats and shared categories.
- When should I choose Aquila2 over airllm?
- Choose Aquila2 over airllm when Aquila2 is primarily Python; airllm is Jupyter Notebook; Tags unique to Aquila2: llm-inference, llm-training; Also covers Model Training; Need specialized support from Beijing Academy of Artificial Intelligence.
- When should I choose airllm over Aquila2?
- Choose airllm over Aquila2 when airllm is primarily Jupyter Notebook; Aquila2 is Python; Requirements: Min 4 GB RAM; Installation is straightforward via pip.; Tags unique to airllm: chinese-llm, chinese-nlp, finetune, generative-ai; When you need to perform inference on a 70B parameter model with limited GPU resources, such as a single 4GB GPU.
- When should I avoid Aquila2?
- Require comprehensive API and documentation clarity Preferring open source licensing details
- When should I avoid airllm?
- If your project requires inference on models larger than 70B parameters or if you have access to more powerful GPUs than a 4GB model. For projects that do not involve Chinese language models or generative AI tasks, as AirLLM is specifically optimized for these areas.
- Is Aquila2 or airllm more popular on GitHub?
- airllm has more GitHub stars (34,504 vs 445). Stars measure visibility, not whether either tool fits your constraints.
- Are Aquila2 and airllm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Aquila2 or airllm?
- GraphCanon lists graph-backed alternatives at Aquila2 alternatives and airllm alternatives (Aquila2 markdown twin, airllm 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 airllm?
- Aquila2: Dormant. airllm: Very active. 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 airllm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Aquila2 trust report; airllm trust report.