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Comparison

BELLE vs ChatGLM-6B

Verdict

Pick BELLE if bELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,; 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.

Markdown twin · BELLE alternatives · ChatGLM-6B alternatives

GraphCanon updated Sep 20, 2026

7views this month

BELLE logo

BELLE

LianjiaTech/BELLE

★ 8.3kpushed Oct 16, 2024
vs
ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

★ 41kpushed Jun 27, 2024

Trust & integrity

SignalBELLEChatGLM-6B
Maintenance
Dormant (701d 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
No published findings from this source as of 2026-09-18
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
BELLE trust reportChatGLM-6B trust reportTrust methodology

Tagline

BELLE
Open-source Chinese dialogue large model
ChatGLM-6B
An Open Bilingual Dialogue Language Model

Stars

BELLE
8.3k
ChatGLM-6B
41k

Forks

BELLE
755
ChatGLM-6B
5.1k

Open issues

BELLE
106
ChatGLM-6B
605

Language

BELLE
HTML
ChatGLM-6B
Python

Adopt for

BELLE
BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,
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-

Persona

BELLE
-
ChatGLM-6B
-

Runtime

BELLE
-
ChatGLM-6B
-

License

BELLE
BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution.
ChatGLM-6B
Apache-2.0 license, allowing for both academic and free commercial use after registration.

Last pushed

BELLE
Oct 16, 2024
ChatGLM-6B
Jun 27, 2024

Categories

BELLE
Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training, Speech & Audio
ChatGLM-6B
Inference & Serving, LLM Frameworks

Trust and health

Days since push

BELLE
701d
ChatGLM-6B
813d

Open issues (now)

BELLE
106
ChatGLM-6B
605

Stars delta

BELLE
-10 (30d)
ChatGLM-6B
-53 (30d)

Open issues delta

BELLE
0 (30d)
ChatGLM-6B
-2 (30d)

OSV dependency advisories

BELLE
No published findings from this source as of 2026-09-18
ChatGLM-6B
Published findings

Full report

BELLE
Trust report
ChatGLM-6B
Trust report

Shared compatibility

  • ChatGPT · BELLE: Works with ChatGPT · ChatGLM-6B: Works with ChatGPT

Choose BELLE if…

  • BELLE is primarily HTML; ChatGLM-6B is Python.
  • Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference..
  • Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q.
  • Also covers Computer Vision, Evaluation & Observability, Model Training, Speech & Audio.
  • Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.

When NOT to use BELLE

  • Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language.
  • Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT.
  • BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities.
GitHubDetails

Choose ChatGLM-6B if…

  • ChatGLM-6B is primarily Python; BELLE is HTML.
  • 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.
  • Also covers Inference & Serving.
  • 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.
GitHubDetails

Explore

BELLE trust report →ChatGLM-6B trust report →Computer Vision category →Evaluation & Observability category →LLM Frameworks category →Model Training category →Speech & Audio category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: BELLE 8.3k · ChatGLM-6B 41k (synced Sep 20, 2026).

Common questions

What is the difference between BELLE and ChatGLM-6B?
BELLE: Open-source Chinese dialogue large model. ChatGLM-6B: An Open Bilingual Dialogue Language Model. See the comparison table for live GitHub stats and shared categories.
When should I choose BELLE over ChatGLM-6B?
Choose BELLE over ChatGLM-6B when BELLE is primarily HTML; ChatGLM-6B is Python; Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.; Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q; Also covers Computer Vision, Evaluation & Observability, Model Training, Speech & Audio; Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.
When should I choose ChatGLM-6B over BELLE?
Choose ChatGLM-6B over BELLE when ChatGLM-6B is primarily Python; BELLE is HTML; 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; Also covers Inference & Serving; 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 avoid BELLE?
Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language. Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT. BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities.
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.
Is BELLE or ChatGLM-6B more popular on GitHub?
ChatGLM-6B has more GitHub stars (40,959 vs 8,270). Stars measure visibility, not whether either tool fits your constraints.
Are BELLE and ChatGLM-6B open source?
Yes - both are open-source projects on GitHub (BELLE: Apache-2.0, ChatGLM-6B: Apache-2.0).
Where can I find alternatives to BELLE or ChatGLM-6B?
GraphCanon lists graph-backed alternatives at BELLE alternatives and ChatGLM-6B alternatives (BELLE 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, BELLE or ChatGLM-6B?
BELLE: 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 BELLE and ChatGLM-6B?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BELLE trust report; ChatGLM-6B trust report.

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