--- title: "evidentiality_qa vs ChatGLM-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/akariasai-evidentiality-qa-vs-zai-org-chatglm-6b" tools: ["akariasai-evidentiality-qa", "zai-org-chatglm-6b"] --- # evidentiality_qa vs ChatGLM-6B *GraphCanon updated Jul 11, 2026* ## Verdict Pick evidentiality_qa when license: evidentiality_qa is MIT, ChatGLM-6B is Apache-2.0; pick ChatGLM-6B when license: ChatGLM-6B is Apache-2.0, evidentiality_qa is MIT. [evidentiality_qa](https://github.com/AkariAsai/evidentiality_qa) reports 44 GitHub stars, 0 forks, and 2 open issues, last pushed Dec 25, 2022. [ChatGLM-6B](https://github.com/zai-org/ChatGLM-6B) has 41k stars, 5.1k forks, and 609 open issues, last pushed Jun 27, 2024. Figures are from public GitHub metadata via [evidentiality_qa's repository](https://github.com/AkariAsai/evidentiality_qa) and [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B). | | [evidentiality_qa](/tools/akariasai-evidentiality-qa.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Tagline | The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022). | ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 | | Stars | 44 | 41,035 | | Forks | 0 | 5,132 | | Open issues | 2 | 609 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Model Training, Data & Retrieval, Vector Databases | LLM Frameworks, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [evidentiality_qa](/tools/akariasai-evidentiality-qa.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Days since push | 1294d | 744d | | Open issues (now) | 2 | 609 | | Owner type | User | Organization | | Security scan | No lockfile | 75 low (75 low) | | Full report | [trust report](/tools/akariasai-evidentiality-qa/trust.md) | [trust report](/tools/zai-org-chatglm-6b/trust.md) | ## Shared compatibility - **Python**: [evidentiality_qa](/tools/akariasai-evidentiality-qa.md) - Python runtime; [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) - Python runtime ## Choose when ### Choose evidentiality_qa if… - License: evidentiality_qa is MIT, ChatGLM-6B is Apache-2.0. - Also covers Model Training. - Leaner open-issue backlog (2). ### Choose ChatGLM-6B if… - License: ChatGLM-6B is Apache-2.0, evidentiality_qa is MIT. - Also covers LLM Frameworks. - More GitHub stars (41k vs 44) - visibility, not fit. ## When NOT to use evidentiality_qa - Last GitHub push was 1294 days ago (dormant maintenance, Dec 25, 2022). Validate activity before betting a new project on evidentiality_qa. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use ChatGLM-6B - Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between evidentiality_qa and ChatGLM-6B? evidentiality_qa: The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).. ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 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 evidentiality_qa over ChatGLM-6B? Choose evidentiality_qa over ChatGLM-6B when License: evidentiality_qa is MIT, ChatGLM-6B is Apache-2.0; Also covers Model Training; Leaner open-issue backlog (2). ### When should I choose ChatGLM-6B over evidentiality_qa? Choose ChatGLM-6B over evidentiality_qa when License: ChatGLM-6B is Apache-2.0, evidentiality_qa is MIT; Also covers LLM Frameworks; More GitHub stars (41k vs 44) - visibility, not fit. ### When should I avoid evidentiality_qa? Last GitHub push was 1294 days ago (dormant maintenance, Dec 25, 2022). Validate activity before betting a new project on evidentiality_qa. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. 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 ChatGLM-6B? Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is evidentiality_qa or ChatGLM-6B more popular on GitHub? ChatGLM-6B has more GitHub stars (41,035 vs 44). Stars measure visibility, not whether either tool fits your constraints. ### Are evidentiality_qa and ChatGLM-6B open source? Yes - both are open-source projects on GitHub (evidentiality_qa: MIT, ChatGLM-6B: Apache-2.0). ### Where can I find alternatives to evidentiality_qa or ChatGLM-6B? GraphCanon lists graph-backed alternatives at [evidentiality_qa alternatives](/tools/akariasai-evidentiality-qa/alternatives) and [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) ([evidentiality_qa markdown twin](/tools/akariasai-evidentiality-qa/alternatives.md), [ChatGLM-6B markdown twin](/tools/zai-org-chatglm-6b/alternatives.md)), 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](/compare/akariasai-evidentiality-qa-vs-zai-org-chatglm-6b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, evidentiality_qa or ChatGLM-6B? evidentiality_qa: Dormant. ChatGLM-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 evidentiality_qa and ChatGLM-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [evidentiality_qa trust report](/tools/akariasai-evidentiality-qa/trust); [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=akariasai-evidentiality-qa`](/api/graphcanon/graph?tool=akariasai-evidentiality-qa) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_