--- title: "yalm vs chatllm.cpp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andrewkchan-yalm-vs-foldl-chatllm-cpp" tools: ["andrewkchan-yalm", "foldl-chatllm-cpp"] --- # yalm vs chatllm.cpp *GraphCanon updated Aug 25, 2026* ## Verdict Pick yalm if yALM offers a no-frills LLM inference engine in C++/CUDA, optimized for tasks requiring minimal external dependencies beyond I/O and no reliance on heavyweight ML libraries; pick chatllm.cpp if this C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU. [yalm](https://github.com/andrewkchan/yalm) reports 596 GitHub stars, 64 forks, and 4 open issues, last pushed Sep 13, 2025. [chatllm.cpp](https://github.com/foldl/chatllm.cpp) has 917 stars, 72 forks, and 11 open issues, last pushed Aug 22, 2026. Figures are from public GitHub metadata via [yalm's repository](https://github.com/andrewkchan/yalm) and [chatllm.cpp's repository](https://github.com/foldl/chatllm.cpp). | | [yalm](/tools/andrewkchan-yalm.md) | [chatllm.cpp](/tools/foldl-chatllm-cpp.md) | | --- | --- | --- | | Tagline | LLM inference engine in C++/CUDA without dependency on external libraries except for I/O | C++ real-time chat models for CPU and GPU | | Stars | 596 | 917 | | Forks | 64 | 72 | | Open issues | 4 | 11 | | Language | C++ | C++ | | Adopt for | YALM offers a no-frills LLM inference engine in C++/CUDA, optimized for tasks requiring minimal external dependencies beyond I/O and no reliance on heavyweight ML libraries. | This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [yalm](/tools/andrewkchan-yalm.md) | [chatllm.cpp](/tools/foldl-chatllm-cpp.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 345d | 2d | | Open issues (now) | 4 | 11 | | Stars delta | +4 (30d) | +5 (30d) | | Full report | [trust report](/tools/andrewkchan-yalm/trust.md) | [trust report](/tools/foldl-chatllm-cpp/trust.md) | ## Decision facts: yalm - **Adopt for:** YALM offers a no-frills LLM inference engine in C++/CUDA, optimized for tasks requiring minimal external dependencies beyond I/O and no reliance on heavyweight ML libraries. ## Decision facts: chatllm.cpp - **Adopt for:** This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU. ## Choose when ### Choose yalm if… - Tags unique to yalm: cpp, cuda, machine-learning. - When your project's stack is primarily based on C++ and CUDA, allowing seamless integration without additional dependencies - Leaner open-issue backlog (4). ### Choose chatllm.cpp if… - Tags unique to chatllm.cpp: cpu-support, gpu-support, llm, real-time-chatting. - Also covers LLM Frameworks. - When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses. ## When NOT to use yalm - If extensive functionality or ease of use from other ML libraries is required, as YALM does not support dependencies beyond I/O needs - For developers who prefer tools with broader community support and more comprehensive feature sets, given that YALM specializes in a narrow scope ## When NOT to use chatllm.cpp - Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported. - Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities. ## Common questions ### What is the difference between yalm and chatllm.cpp? yalm: LLM inference engine in C++/CUDA without dependency on external libraries except for I/O. chatllm.cpp: C++ real-time chat models for CPU and GPU. See the comparison table for live GitHub stats and shared categories. ### When should I choose yalm over chatllm.cpp? Choose yalm over chatllm.cpp when Tags unique to yalm: cpp, cuda, machine-learning; When your project's stack is primarily based on C++ and CUDA, allowing seamless integration without additional dependencies; Leaner open-issue backlog (4). ### When should I choose chatllm.cpp over yalm? Choose chatllm.cpp over yalm when Tags unique to chatllm.cpp: cpu-support, gpu-support, llm, real-time-chatting; Also covers LLM Frameworks; When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses. ### When should I avoid yalm? If extensive functionality or ease of use from other ML libraries is required, as YALM does not support dependencies beyond I/O needs For developers who prefer tools with broader community support and more comprehensive feature sets, given that YALM specializes in a narrow scope ### When should I avoid chatllm.cpp? Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported. Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities. ### Is yalm or chatllm.cpp more popular on GitHub? chatllm.cpp has more GitHub stars (917 vs 596). Stars measure visibility, not whether either tool fits your constraints. ### Are yalm and chatllm.cpp open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to yalm or chatllm.cpp? GraphCanon lists graph-backed alternatives at [yalm alternatives](/tools/andrewkchan-yalm/alternatives) and [chatllm.cpp alternatives](/tools/foldl-chatllm-cpp/alternatives) ([yalm markdown twin](/tools/andrewkchan-yalm/alternatives.md), [chatllm.cpp markdown twin](/tools/foldl-chatllm-cpp/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-foldl-chatllm-cpp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, yalm or chatllm.cpp? yalm: Slowing. chatllm.cpp: Very active. 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 chatllm.cpp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [yalm trust report](/tools/andrewkchan-yalm/trust); [chatllm.cpp trust report](/tools/foldl-chatllm-cpp/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/_