--- title: "yalm vs gpt4all" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andrewkchan-yalm-vs-nomic-ai-gpt4all" tools: ["andrewkchan-yalm", "nomic-ai-gpt4all"] --- # yalm vs gpt4all *GraphCanon updated Jul 12, 2026* ## Verdict Pick yalm when tags unique to yalm: llama, llm, machine-learning, cpp; pick gpt4all when tags unique to gpt4all: ai-chat, c++. [yalm](https://github.com/andrewkchan/yalm) reports 591 GitHub stars, 64 forks, and 4 open issues, last pushed Sep 13, 2025. [gpt4all](https://nomic.ai/gpt4all) has 77k stars, 8.3k forks, and 768 open issues, last pushed May 27, 2025. Figures are from public GitHub metadata via [yalm's repository](https://github.com/andrewkchan/yalm) and [gpt4all's repository](https://github.com/nomic-ai/gpt4all). | | [yalm](/tools/andrewkchan-yalm.md) | [gpt4all](/tools/nomic-ai-gpt4all.md) | | --- | --- | --- | | Tagline | Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O | GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use. | | Stars | 591 | 77,386 | | Forks | 64 | 8,304 | | Open issues | 4 | 768 | | Language | C++ | C++ | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | LLM Frameworks, Inference & Serving | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [yalm](/tools/andrewkchan-yalm.md) | [gpt4all](/tools/nomic-ai-gpt4all.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 301d | 409d | | Open issues (now) | 4 | 768 | | Owner type | User | Organization | | Full report | [trust report](/tools/andrewkchan-yalm/trust.md) | [trust report](/tools/nomic-ai-gpt4all/trust.md) | ## Choose when ### Choose yalm if… - Tags unique to yalm: llama, llm, machine-learning, cpp. - More recently updated (last pushed Sep 13, 2025). ### Choose gpt4all if… - Tags unique to gpt4all: ai-chat, c++. - More GitHub stars (77k vs 591) - visibility, not fit. ## 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. ## 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. ## 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](/tools/andrewkchan-yalm/alternatives) and [gpt4all alternatives](/tools/nomic-ai-gpt4all/alternatives) ([yalm markdown twin](/tools/andrewkchan-yalm/alternatives.md), [gpt4all markdown twin](/tools/nomic-ai-gpt4all/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/andrewkchan-yalm-vs-nomic-ai-gpt4all.md) 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](/tools/andrewkchan-yalm/trust); [gpt4all trust report](/tools/nomic-ai-gpt4all/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=andrewkchan-yalm`](/api/graphcanon/graph?tool=andrewkchan-yalm) - 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/_