Comparison
ChatGLM-6B vs ChatGLM2-6B
Verdict
Pick ChatGLM-6B if chatGLM-6B is an open-source bilingual dialogue language model with 6.2 billion parameters, optimized for Chinese and English conversations. It supports local deployment with model quantization and offers efficient fine-; 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 · ChatGLM-6B alternatives · ChatGLM2-6B alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | ChatGLM-6B | ChatGLM2-6B |
|---|---|---|
| Maintenance | Dormant (813d since push) As of Sep 18, 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 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 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
- ChatGLM-6B
- An Open Bilingual Dialogue Language Model
- ChatGLM2-6B
- An Open Bilingual Chat LLM
Stars
- ChatGLM-6B
- 41k
- ChatGLM2-6B
- 16k
Forks
- ChatGLM-6B
- 5.1k
- ChatGLM2-6B
- 1.8k
Open issues
- ChatGLM-6B
- 605
- ChatGLM2-6B
- 450
Language
- ChatGLM-6B
- Python
- ChatGLM2-6B
- Python
Adopt for
- ChatGLM-6B
- ChatGLM-6B is an open-source bilingual dialogue language model with 6.2 billion parameters, optimized for Chinese and English conversations. It supports local deployment with model quantization and offers efficient fine-
- ChatGLM2-6B
- ChatGLM2-6B is an open-source bilingual chat language model with enhanced performance, longer context length, and efficient inference capabilities.
Persona
- ChatGLM-6B
- -
- ChatGLM2-6B
- -
Runtime
- ChatGLM-6B
- -
- ChatGLM2-6B
- -
License
- ChatGLM-6B
- Apache-2.0 license, allowing for both academic and free commercial use after registration.
- ChatGLM2-6B
- The model's weights are completely open for academic research and allow free commercial use after registration.
Last pushed
- ChatGLM-6B
- Jun 27, 2024
- ChatGLM2-6B
- Jun 27, 2024
Categories
- ChatGLM-6B
- Inference & Serving, LLM Frameworks
- ChatGLM2-6B
- Inference & Serving, LLM Frameworks
Trust and health
Open issues (now)
- ChatGLM-6B
- 605
- ChatGLM2-6B
- 450
Stars delta
- ChatGLM-6B
- -53 (30d)
- ChatGLM2-6B
- -23 (30d)
Open issues delta
- ChatGLM-6B
- -2 (30d)
- ChatGLM2-6B
- 0 (30d)
Full report
- ChatGLM-6B
- Trust report
- ChatGLM2-6B
- Trust report
Choose ChatGLM-6B if…
- License: ChatGLM-6B is Apache-2.0, ChatGLM2-6B is Other.
- Pricing: The model weights are completely open for academic research and allow free commercial use after registration..
- Requirements: Min 8 GB RAM; Local deployment requires a minimum of 6GB of VRAM in INT4 quantization level for inference and 7GB for fine-tuning..
- Tags unique to ChatGLM-6B: bilingual, commercial-use, dialogue, fine-tuning.
- Use ChatGLM-6B when you need a model that is optimized for both Chinese and English conversations, offering a bilingual capability that is particularly strong in these languages.
When NOT to use ChatGLM-6B
- Avoid using ChatGLM-6B if your project requires a model that supports languages other than Chinese and English, as it is specifically optimized for these two languages.
- Do not use ChatGLM-6B if you need a model that is larger than 6.2 billion parameters, as it may not provide the depth of understanding or generation capabilities that larger models offer.
Choose ChatGLM2-6B if…
- License: ChatGLM2-6B is Other, ChatGLM-6B is Apache-2.0.
- 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, llm.
- 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 (zai-org/ChatGLM-6B) · observed Sep 20, 2026
- GitHub forks (zai-org/ChatGLM-6B) · observed Sep 20, 2026
- Last push (zai-org/ChatGLM-6B) · observed Jun 27, 2024
- 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 (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: ChatGLM-6B 41k · ChatGLM2-6B 16k (synced Sep 20, 2026).
Common questions
- What is the difference between ChatGLM-6B and ChatGLM2-6B?
- ChatGLM-6B: An Open Bilingual Dialogue Language Model. ChatGLM2-6B: An Open Bilingual Chat LLM. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatGLM-6B over ChatGLM2-6B?
- Choose ChatGLM-6B over ChatGLM2-6B when License: ChatGLM-6B is Apache-2.0, ChatGLM2-6B is Other; Pricing: The model weights are completely open for academic research and allow free commercial use after registration.; Requirements: Min 8 GB RAM; Local deployment requires a minimum of 6GB of VRAM in INT4 quantization level for inference and 7GB for fine-tuning.; Tags unique to ChatGLM-6B: bilingual, commercial-use, dialogue, fine-tuning; Use ChatGLM-6B when you need a model that is optimized for both Chinese and English conversations, offering a bilingual capability that is particularly strong in these languages.
- When should I choose ChatGLM2-6B over ChatGLM-6B?
- Choose ChatGLM2-6B over ChatGLM-6B when License: ChatGLM2-6B is Other, ChatGLM-6B is Apache-2.0; 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, llm; 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 ChatGLM-6B?
- Avoid using ChatGLM-6B if your project requires a model that supports languages other than Chinese and English, as it is specifically optimized for these two languages. Do not use ChatGLM-6B if you need a model that is larger than 6.2 billion parameters, as it may not provide the depth of understanding or generation capabilities that larger models offer.
- 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 ChatGLM-6B or ChatGLM2-6B more popular on GitHub?
- ChatGLM-6B has more GitHub stars (40,959 vs 15,517). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatGLM-6B and ChatGLM2-6B open source?
- Yes - both are open-source projects on GitHub (ChatGLM-6B: Apache-2.0, ChatGLM2-6B: Other).
- Where can I find alternatives to ChatGLM-6B or ChatGLM2-6B?
- GraphCanon lists graph-backed alternatives at ChatGLM-6B alternatives and ChatGLM2-6B alternatives (ChatGLM-6B 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, ChatGLM-6B or ChatGLM2-6B?
- ChatGLM-6B: 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 ChatGLM-6B and ChatGLM2-6B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatGLM-6B trust report; ChatGLM2-6B trust report.