Home/Compare/Awesome-Chinese-LLM vs MiniMax-01

Comparison

Awesome-Chinese-LLM vs MiniMax-01

Verdict

Pick Awesome-Chinese-LLM if awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment; pick MiniMax-01 if miniMax-01 optimizes Linear Attention for large-language and vision-language models.

Markdown twin · Awesome-Chinese-LLM alternatives · MiniMax-01 alternatives

GraphCanon updated 3d

Awesome-Chinese-LLM logo

Awesome-Chinese-LLM

AiHubCN/Awesome-Chinese-LLM

23kpushed May 10, 2026
vs
MiniMax-01 logo

MiniMax-01

MiniMax-AI/MiniMax-01

3.5kpushed Jul 7, 2025

Trust & integrity

SignalAwesome-Chinese-LLMMiniMax-01
Maintenance
Slowing (98d since push)
As of 4d · github_public_v1
Dormant (406d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Personal account
As of 4d · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

Awesome-Chinese-LLM
整理开源的中文大语言模型
MiniMax-01
Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention

Stars

Awesome-Chinese-LLM
23k
MiniMax-01
3.5k

Forks

Awesome-Chinese-LLM
2.1k
MiniMax-01
332

Open issues

Awesome-Chinese-LLM
27
MiniMax-01
8

Language

Awesome-Chinese-LLM
-
MiniMax-01
Python

Adopt for

Awesome-Chinese-LLM
Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment.
MiniMax-01
MiniMax-01 optimizes Linear Attention for large-language and vision-language models.

Persona

Awesome-Chinese-LLM
-
MiniMax-01
-

Runtime

Awesome-Chinese-LLM
-
MiniMax-01
-

License

Awesome-Chinese-LLM
-
MiniMax-01
MIT

Last pushed

Awesome-Chinese-LLM
May 10, 2026
MiniMax-01
Jul 7, 2025

Categories

Awesome-Chinese-LLM
LLM Frameworks, Model Training
MiniMax-01
LLM Frameworks, Model Training

Trust and health

Maintenance

Awesome-Chinese-LLM
Slowing (36%)
MiniMax-01
Dormant (18%)

Days since push

Awesome-Chinese-LLM
98d
MiniMax-01
406d

Open issues (now)

Awesome-Chinese-LLM
27
MiniMax-01
8

Stars delta

Awesome-Chinese-LLM
+53 (30d)
MiniMax-01
+17 (30d)

Open issues delta

Awesome-Chinese-LLM
+3 (30d)
MiniMax-01
0 (30d)

Owner type

Awesome-Chinese-LLM
User
MiniMax-01
Organization

Full report

Awesome-Chinese-LLM
Trust report
MiniMax-01
Trust report

Choose Awesome-Chinese-LLM if…

  • Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama.
  • If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
  • More GitHub stars (23k vs 3.5k) - visibility, not fit.

When NOT to use Awesome-Chinese-LLM

  • Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese.
  • If your deployment scenario is limited to public cloud services only without the option for private deployment.

Choose MiniMax-01 if…

  • Tags unique to MiniMax-01: large language models, vision-language-model, vlm.
  • When high throughput performance is required for model serving
  • Leaner open-issue backlog (8).

When NOT to use MiniMax-01

  • If deep customization of attention mechanisms aside from Linear Attention is needed
  • In favor of frameworks lacking vLLM's optimization features, when efficiency or memory use are secondary to flexibility

Explore

Sources

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

GitHub stars on cards: Awesome-Chinese-LLM 23k · MiniMax-01 3.5k (synced Aug 17, 2026).

Common questions

What is the difference between Awesome-Chinese-LLM and MiniMax-01?
Awesome-Chinese-LLM: 整理开源的中文大语言模型. MiniMax-01: Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention. See the comparison table for live GitHub stats and shared categories.
When should I choose Awesome-Chinese-LLM over MiniMax-01?
Choose Awesome-Chinese-LLM over MiniMax-01 when Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately; More GitHub stars (23k vs 3.5k) - visibility, not fit.
When should I choose MiniMax-01 over Awesome-Chinese-LLM?
Choose MiniMax-01 over Awesome-Chinese-LLM when Tags unique to MiniMax-01: large language models, vision-language-model, vlm; When high throughput performance is required for model serving; Leaner open-issue backlog (8).
When should I avoid Awesome-Chinese-LLM?
Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese. If your deployment scenario is limited to public cloud services only without the option for private deployment.
When should I avoid MiniMax-01?
If deep customization of attention mechanisms aside from Linear Attention is needed In favor of frameworks lacking vLLM's optimization features, when efficiency or memory use are secondary to flexibility
Is Awesome-Chinese-LLM or MiniMax-01 more popular on GitHub?
Awesome-Chinese-LLM has more GitHub stars (22,738 vs 3,463). Stars measure visibility, not whether either tool fits your constraints.
Are Awesome-Chinese-LLM and MiniMax-01 open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Awesome-Chinese-LLM or MiniMax-01?
GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and MiniMax-01 alternatives (Awesome-Chinese-LLM markdown twin, MiniMax-01 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, Awesome-Chinese-LLM or MiniMax-01?
Awesome-Chinese-LLM: Slowing. MiniMax-01: 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 Awesome-Chinese-LLM and MiniMax-01?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; MiniMax-01 trust report.

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