Home/Compare/yalm vs gpt4all

Comparison

yalm vs gpt4all

Verdict

Pick yalm when tags unique to yalm: llama, llm, machine-learning, cpp; pick gpt4all when tags unique to gpt4all: ai-chat, c++.

Markdown twin · yalm alternatives · gpt4all alternatives

GraphCanon updated today

yalm logo

yalm

andrewkchan/yalm

591pushed Sep 13, 2025
vs
gpt4all logo

gpt4all

nomic-ai/gpt4all

77kpushed May 27, 2025

Trust & integrity

Signalyalmgpt4all
Maintenance
Slowing (301d since push)
As of today · github_public_v1
Dormant (409d 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
No lockfile
As of today · none

Tagline

yalm
Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Stars

yalm
591
gpt4all
77k

Forks

yalm
64
gpt4all
8.3k

Open issues

yalm
4
gpt4all
768

Language

yalm
C++
gpt4all
C++

Adopt for

yalm
-
gpt4all
-

Persona

yalm
-
gpt4all
-

Runtime

yalm
-
gpt4all
-

License

yalm
-
gpt4all
MIT

Last pushed

yalm
Sep 13, 2025
gpt4all
May 27, 2025

Categories

yalm
LLM Frameworks, Inference & Serving
gpt4all
LLM Frameworks, Inference & Serving

Trust and health

Maintenance

yalm
Slowing (36%)
gpt4all
Dormant (18%)

Days since push

yalm
301d
gpt4all
409d

Open issues (now)

yalm
4
gpt4all
768

Owner type

yalm
User
gpt4all
Organization

Full report

Choose yalm if…

  • Tags unique to yalm: llama, llm, machine-learning, cpp.
  • More recently updated (last pushed Sep 13, 2025).

When NOT to use yalm

  • Last GitHub push was 301 days ago (slowing maintenance, Sep 13, 2025). Validate activity before betting a new project on yalm.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose gpt4all if…

  • Tags unique to gpt4all: ai-chat, c++.
  • More GitHub stars (77k vs 591) - visibility, not fit.

When NOT to use gpt4all

  • Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Explore

Sources

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

GitHub stars on cards: yalm 591 · gpt4all 77k (synced Jul 11, 2026).

Common questions

What is the difference between yalm and gpt4all?
yalm: Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O. gpt4all: GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.. See the comparison table for live GitHub stats and shared categories.
When should I choose yalm over gpt4all?
Choose yalm over gpt4all when Tags unique to yalm: llama, llm, machine-learning, cpp; More recently updated (last pushed Sep 13, 2025).
When should I choose gpt4all over yalm?
Choose gpt4all over yalm when Tags unique to gpt4all: ai-chat, c++; More GitHub stars (77k vs 591) - visibility, not fit.
When should I avoid yalm?
Last GitHub push was 301 days ago (slowing maintenance, Sep 13, 2025). Validate activity before betting a new project on yalm. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid gpt4all?
Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is yalm or gpt4all more popular on GitHub?
gpt4all has more GitHub stars (77,386 vs 591). Stars measure visibility, not whether either tool fits your constraints.
Are yalm and gpt4all open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to yalm or gpt4all?
GraphCanon lists graph-backed alternatives at yalm alternatives and gpt4all alternatives (yalm markdown twin, gpt4all 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, yalm or gpt4all?
yalm: Slowing. gpt4all: 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 yalm and gpt4all?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: yalm trust report; gpt4all trust report.