Comparison
Aquila2 vs ChatGLM2-6B
Verdict
Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick ChatGLM2-6B if chatGLM2-6B is an open-source bilingual chat language model with enhanced performance, longer context length, and efficient inference capabilities.
Markdown twin · Aquila2 alternatives · ChatGLM2-6B alternatives
GraphCanon updated Sep 20, 2026
8views this month
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Trust & integrity
| Signal | Aquila2 | ChatGLM2-6B |
|---|---|---|
| Maintenance | Dormant (708d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (813d 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 · Organization 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
- ChatGLM2-6B
- An Open Bilingual Chat LLM
Stars
- Aquila2
- 445
- ChatGLM2-6B
- 16k
Forks
- Aquila2
- 32
- ChatGLM2-6B
- 1.8k
Open issues
- Aquila2
- 2
- ChatGLM2-6B
- 450
Language
- Aquila2
- Python
- ChatGLM2-6B
- Python
Adopt for
- Aquila2
- Official suite for Aquila2 series LLM by BAAI
- ChatGLM2-6B
- ChatGLM2-6B is an open-source bilingual chat language model with enhanced performance, longer context length, and efficient inference capabilities.
Persona
- Aquila2
- -
- ChatGLM2-6B
- -
Runtime
- Aquila2
- -
- ChatGLM2-6B
- -
License
- Aquila2
- (unknown)
- ChatGLM2-6B
- The model's weights are completely open for academic research and allow free commercial use after registration.
Last pushed
- Aquila2
- Oct 11, 2024
- ChatGLM2-6B
- Jun 27, 2024
Categories
- Aquila2
- Inference & Serving, LLM Frameworks, Model Training
- ChatGLM2-6B
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- Aquila2
- 708d
- ChatGLM2-6B
- 813d
Open issues (now)
- Aquila2
- 2
- ChatGLM2-6B
- 450
Stars delta
- Aquila2
- -1 (30d)
- ChatGLM2-6B
- -23 (30d)
OSV dependency advisories
- Aquila2
- No lockfile (source not queried)
- ChatGLM2-6B
- Published findings
Full report
- Aquila2
- Trust report
- ChatGLM2-6B
- Trust report
Choose Aquila2 if…
- 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 ChatGLM2-6B if…
- Pricing: The model is free for both academic and commercial use after registration..
- Requirements: Min 6 GB RAM; The model requires 6GB of GPU memory for inference with INT4 quantization..
- Tags unique to ChatGLM2-6B: chatglm, chatglm-6b, large-language-models.
- Use ChatGLM2-6B when you need a bilingual (Chinese-English) chatbot with improved performance metrics over its predecessor, such as higher accuracy on MMLU, CEval, GSM8K, and BBH datasets.
When NOT to use ChatGLM2-6B
- Avoid using ChatGLM2-6B if your application requires a model with a context length shorter than 8K, as the model is optimized for longer context lengths.
- Do not use this model if you need a model that is larger than 6B parameters, as ChatGLM2-6B is specifically designed for this size and may not meet the needs of applications requiring larger models.
- If your project strictly requires a model that has been tested and proven in a wide range of commercial applications, ChatGLM2-6B might not be the best choice, as it is still under development and its
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 (zai-org/ChatGLM2-6B) · observed Sep 20, 2026
- GitHub forks (zai-org/ChatGLM2-6B) · observed Sep 20, 2026
- Last push (zai-org/ChatGLM2-6B) · observed Jun 27, 2024
- License file (Other) · 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 · ChatGLM2-6B 16k (synced Sep 20, 2026).
Common questions
- What is the difference between Aquila2 and ChatGLM2-6B?
- Aquila2: Official repository for Aquila2 series large language models by BAAI. ChatGLM2-6B: An Open Bilingual Chat LLM. See the comparison table for live GitHub stats and shared categories.
- When should I choose Aquila2 over ChatGLM2-6B?
- Choose Aquila2 over ChatGLM2-6B when 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 ChatGLM2-6B over Aquila2?
- Choose ChatGLM2-6B over Aquila2 when Pricing: The model is free for both academic and commercial use after registration.; Requirements: Min 6 GB RAM; The model requires 6GB of GPU memory for inference with INT4 quantization.; Tags unique to ChatGLM2-6B: chatglm, chatglm-6b, large-language-models; Use ChatGLM2-6B when you need a bilingual (Chinese-English) chatbot with improved performance metrics over its predecessor, such as higher accuracy on MMLU, CEval, GSM8K, and BBH datasets.
- When should I avoid Aquila2?
- Require comprehensive API and documentation clarity Preferring open source licensing details
- When should I avoid ChatGLM2-6B?
- Avoid using ChatGLM2-6B if your application requires a model with a context length shorter than 8K, as the model is optimized for longer context lengths. Do not use this model if you need a model that is larger than 6B parameters, as ChatGLM2-6B is specifically designed for this size and may not meet the needs of applications requiring larger models. If your project strictly requires a model that has been tested and proven in a wide range of commercial applications, ChatGLM2-6B might not be the best choice, as it is still under development and its
- Is Aquila2 or ChatGLM2-6B more popular on GitHub?
- ChatGLM2-6B has more GitHub stars (15,517 vs 445). Stars measure visibility, not whether either tool fits your constraints.
- Are Aquila2 and ChatGLM2-6B open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Aquila2 or ChatGLM2-6B?
- GraphCanon lists graph-backed alternatives at Aquila2 alternatives and ChatGLM2-6B alternatives (Aquila2 markdown twin, ChatGLM2-6B 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 ChatGLM2-6B?
- Aquila2: Dormant. ChatGLM2-6B: 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 Aquila2 and ChatGLM2-6B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Aquila2 trust report; ChatGLM2-6B trust report.