Comparison
text2vec vs ChatGLM2-6B
Verdict
Pick text2vec when license: text2vec is Apache-2.0, ChatGLM2-6B is Other; pick ChatGLM2-6B when license: ChatGLM2-6B is Other, text2vec is Apache-2.0.
Markdown twin · text2vec alternatives · ChatGLM2-6B alternatives
GraphCanon updated today
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Trust & integrity
| Signal | text2vec | ChatGLM2-6B |
|---|---|---|
| Maintenance | Slowing (146d since push) As of today · github_public_v1 | Dormant (744d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 76 low (76 low) As of today · osv@v1 |
Tagline
- text2vec
- text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
- ChatGLM2-6B
- ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
Stars
- text2vec
- 5.0k
- ChatGLM2-6B
- 16k
Forks
- text2vec
- 428
- ChatGLM2-6B
- 1.8k
Open issues
- text2vec
- 7
- ChatGLM2-6B
- 450
Language
- text2vec
- Python
- ChatGLM2-6B
- Python
Adopt for
- text2vec
- -
- ChatGLM2-6B
- Key details on when to use and avoid ChatGLM2-6B, a bilingual chat LLM with open protocols and enhanced performance.
Persona
- text2vec
- -
- ChatGLM2-6B
- -
Runtime
- text2vec
- -
- ChatGLM2-6B
- -
License
- text2vec
- Apache-2.0
- ChatGLM2-6B
- The weights for ChatGLM2-6B are open to academic use and free commercial use after completing a registration form.
Last pushed
- text2vec
- Feb 14, 2026
- ChatGLM2-6B
- Jun 27, 2024
Categories
- text2vec
- Vector Databases
- ChatGLM2-6B
- Vector Databases, LLM Frameworks, Data & Retrieval
Trust and health
Maintenance
- text2vec
- Slowing (36%)
- ChatGLM2-6B
- Dormant (18%)
Days since push
- text2vec
- 146d
- ChatGLM2-6B
- 744d
Open issues (now)
- text2vec
- 7
- ChatGLM2-6B
- 450
Owner type
- text2vec
- User
- ChatGLM2-6B
- Organization
Security scan
- text2vec
- No lockfile
- ChatGLM2-6B
- 76 low (76 low)
Full report
- text2vec
- Trust report
- ChatGLM2-6B
- Trust report
Choose text2vec if…
- License: text2vec is Apache-2.0, ChatGLM2-6B is Other.
- Tags unique to text2vec: text2vec, embeddings, nlp, sentence-embeddings.
- More recently updated (last pushed Feb 14, 2026).
When NOT to use text2vec
- Last GitHub push was 147 days ago (slowing maintenance, Feb 14, 2026). Validate activity before betting a new project on text2vec.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose ChatGLM2-6B if…
- License: ChatGLM2-6B is Other, text2vec is Apache-2.0.
- Pricing: Free to use after registering, the model encourages academic and ethical usage..
- Requirements: Requires Python for implementation.; Inference requires a minimum of 6G GPU RAM with INT4 quantization to support dialogue lengths up to 8K..
- Tags unique to ChatGLM2-6B: llm, large-language-models, chatglm-6b, chatglm.
- Also covers LLM Frameworks, Data & Retrieval.
- When you need an open-source bilingual model that offers improved performance metrics over its predecessor in areas such as MMLU (+23%), CEval (+33%), GSM8K (+571%), and BBH (+60%).
When NOT to use ChatGLM2-6B
- If your project cannot handle the potential risks associated with using a model that is prone to misinformation or could be misused, as there's no guarantee of accuracy.
- When you require an actively maintained application suite developed on top of the model, since the development team has not created any official applications (web, Android, iOS, Windows apps) based on
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (shibing624/text2vec) · observed Jul 11, 2026
- GitHub forks (shibing624/text2vec) · observed Jul 11, 2026
- Last push (shibing624/text2vec) · observed Feb 14, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zai-org/ChatGLM2-6B) · observed Jul 11, 2026
- GitHub forks (zai-org/ChatGLM2-6B) · observed Jul 11, 2026
- Last push (zai-org/ChatGLM2-6B) · observed Jun 27, 2024
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: text2vec 5.0k · ChatGLM2-6B 16k (synced Jul 11, 2026).
Common questions
- What is the difference between text2vec and ChatGLM2-6B?
- text2vec: text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。. ChatGLM2-6B: ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型. See the comparison table for live GitHub stats and shared categories.
- When should I choose text2vec over ChatGLM2-6B?
- Choose text2vec over ChatGLM2-6B when License: text2vec is Apache-2.0, ChatGLM2-6B is Other; Tags unique to text2vec: text2vec, embeddings, nlp, sentence-embeddings; More recently updated (last pushed Feb 14, 2026).
- When should I choose ChatGLM2-6B over text2vec?
- Choose ChatGLM2-6B over text2vec when License: ChatGLM2-6B is Other, text2vec is Apache-2.0; Pricing: Free to use after registering, the model encourages academic and ethical usage.; Requirements: Requires Python for implementation.; Inference requires a minimum of 6G GPU RAM with INT4 quantization to support dialogue lengths up to 8K.; Tags unique to ChatGLM2-6B: llm, large-language-models, chatglm-6b, chatglm; Also covers LLM Frameworks, Data & Retrieval; When you need an open-source bilingual model that offers improved performance metrics over its predecessor in areas such as MMLU (+23%), CEval (+33%), GSM8K (+571%), and BBH (+60%).
- When should I avoid text2vec?
- Last GitHub push was 147 days ago (slowing maintenance, Feb 14, 2026). Validate activity before betting a new project on text2vec. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid ChatGLM2-6B?
- If your project cannot handle the potential risks associated with using a model that is prone to misinformation or could be misused, as there's no guarantee of accuracy. When you require an actively maintained application suite developed on top of the model, since the development team has not created any official applications (web, Android, iOS, Windows apps) based on
- Is text2vec or ChatGLM2-6B more popular on GitHub?
- ChatGLM2-6B has more GitHub stars (15,554 vs 4,971). Stars measure visibility, not whether either tool fits your constraints.
- Are text2vec and ChatGLM2-6B open source?
- Yes - both are open-source projects on GitHub (text2vec: Apache-2.0, ChatGLM2-6B: Other).
- Where can I find alternatives to text2vec or ChatGLM2-6B?
- GraphCanon lists graph-backed alternatives at text2vec alternatives and ChatGLM2-6B alternatives (text2vec 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, text2vec or ChatGLM2-6B?
- text2vec: Slowing. 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 text2vec and ChatGLM2-6B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: text2vec trust report; ChatGLM2-6B trust report.