Home/Compare/lever vs ChatGLM-6B

Comparison

lever vs ChatGLM-6B

Verdict

Pick lever when license: lever is MIT, ChatGLM-6B is Apache-2.0; pick ChatGLM-6B when license: ChatGLM-6B is Apache-2.0, lever is MIT.

Markdown twin · lever alternatives · ChatGLM-6B alternatives

GraphCanon updated today

lever logo

lever

niansong1996/lever

90pushed Jul 5, 2023
vs
ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

41kpushed Jun 27, 2024

Trust & integrity

SignalleverChatGLM-6B
Maintenance
Dormant (1102d 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 criticals
As of today · osv@v1
75 low (75 low)
As of today · osv@v1

Tagline

lever
Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Stars

lever
90
ChatGLM-6B
41k

Forks

lever
8
ChatGLM-6B
5.1k

Open issues

lever
2
ChatGLM-6B
609

Language

lever
Python
ChatGLM-6B
Python

Adopt for

lever
-
ChatGLM-6B
-

Persona

lever
-
ChatGLM-6B
-

Runtime

lever
-
ChatGLM-6B
-

License

lever
MIT
ChatGLM-6B
Apache-2.0

Last pushed

lever
Jul 5, 2023
ChatGLM-6B
Jun 27, 2024

Categories

lever
Data & Retrieval
ChatGLM-6B
LLM Frameworks, Data & Retrieval, Vector Databases

Trust and health

Days since push

lever
1102d
ChatGLM-6B
744d

Open issues (now)

lever
2
ChatGLM-6B
609

Owner type

lever
User
ChatGLM-6B
Organization

Security scan

lever
No criticals
ChatGLM-6B
75 low (75 low)

Full report

ChatGLM-6B
Trust report

Shared compatibility

  • Python · lever: Python runtime · ChatGLM-6B: Python runtime

Choose lever if…

  • License: lever is MIT, ChatGLM-6B is Apache-2.0.
  • Leaner open-issue backlog (2).

When NOT to use lever

  • Last GitHub push was 1102 days ago (dormant maintenance, Jul 5, 2023). Validate activity before betting a new project on lever.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Choose ChatGLM-6B if…

  • License: ChatGLM-6B is Apache-2.0, lever is MIT.
  • Also covers LLM Frameworks, Vector Databases.
  • More GitHub stars (41k vs 90) - visibility, not fit.

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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: lever 90 · ChatGLM-6B 41k (synced Jul 11, 2026).

Common questions

What is the difference between lever and ChatGLM-6B?
lever: Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23). 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 lever over ChatGLM-6B?
Choose lever over ChatGLM-6B when License: lever is MIT, ChatGLM-6B is Apache-2.0; Leaner open-issue backlog (2).
When should I choose ChatGLM-6B over lever?
Choose ChatGLM-6B over lever when License: ChatGLM-6B is Apache-2.0, lever is MIT; Also covers LLM Frameworks, Vector Databases; More GitHub stars (41k vs 90) - visibility, not fit.
When should I avoid lever?
Last GitHub push was 1102 days ago (dormant maintenance, Jul 5, 2023). Validate activity before betting a new project on lever. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
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 lever or ChatGLM-6B more popular on GitHub?
ChatGLM-6B has more GitHub stars (41,035 vs 90). Stars measure visibility, not whether either tool fits your constraints.
Are lever and ChatGLM-6B open source?
Yes - both are open-source projects on GitHub (lever: MIT, ChatGLM-6B: Apache-2.0).
Where can I find alternatives to lever or ChatGLM-6B?
GraphCanon lists graph-backed alternatives at lever alternatives and ChatGLM-6B alternatives (lever markdown twin, ChatGLM-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, lever or ChatGLM-6B?
lever: 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 lever and ChatGLM-6B?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lever trust report; ChatGLM-6B trust report.