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chatllm.cpp

foldl/chatllm.cpp

C++ real-time chat models for CPU and GPU

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

58views this month

929 stars75 forksLast push Sep 7, 2026 C++ MIT

Decision brief

This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU.

Good fit when

  • When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses.
  • If your project requires inference capabilities solely in C++, avoiding the use of Python or other languages often associated with AI frameworks like TensorFlow or PyTorch.

Avoid when

  • 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.

Observed Jul 15, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (11d since push)
As of Sep 19, 2026
Provenance
Not a fork · Personal account
As of Sep 19, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/foldl/chatllm.cpp

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Implementation in C++ of various language model inference engines designed for real-time chatting on local systems with support for both CPU and GPU.

Capability facts

Languages
c++

Source: github.language · Sep 19, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 19, 2026)

All Python scripts are going to be rewritten in [Nim](https://nim-lang.org/), with followin
Source link

Tags

README

Quick Start As simple as . Check it out. Plan Nim All Python scripts are going to be rewritten in Nim, with following exceptions: when is used

For agents

This page has a .md twin and JSON over the API.

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