Search Results for "masmt runtime engine"
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Showing 20 open source projects for "masmt runtime engine"
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MicroQuickJS
Public repository of the Micro QuickJS Javascript Engine
MicroQuickJS (MQuickJS) is a compact JavaScript engine designed specifically for embedded systems where memory and storage are extremely limited. Its primary goal is to compile and run JavaScript programs using minimal RAM, making it suitable for microcontrollers and constrained devices that cannot host a full-featured runtime. The engine is intentionally small in ROM footprint while still providing practical performance comparable to lightweight desktop-grade embeddable engines in its class. ... -
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txiki.js
A tiny JavaScript runtime
txiki.js is a lightweight and modern JavaScript runtime designed to provide a compact yet powerful alternative to larger runtimes like Node.js and Deno. It is built on top of QuickJS-ng as its JavaScript engine and uses libuv for asynchronous I/O and system-level operations, allowing it to support a wide range of platform capabilities. The runtime aims to implement modern ECMAScript standards while aligning with WinterCG specifications, making it suitable for both server-side and scripting use cases. txiki.js includes built-in support for web platform APIs such as fetch, WebSocket, and timers, bridging the gap between browser and server environments. ... -
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ds4.c
DeepSeek 4 Flash local inference engine for Metal
ds4.c is a specialized local inference engine created by antirez for running DeepSeek V4 Flash models directly on Apple Silicon hardware using Metal acceleration. Unlike general-purpose inference runtimes, the project is intentionally optimized for a specific model family, enabling highly efficient execution and simplified architecture. The engine includes DS4-specific model loading, KV cache management, prompt rendering, and OpenAI-compatible server APIs for local deployment workflows.... -
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Colibrì
Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine
Colibri is a compact inference engine designed to run the 744-billion-parameter GLM-5.2 mixture-of-experts model on consumer hardware. It keeps the dense portion of the quantized model in memory while streaming routed experts from a large disk-based store as they are needed. The runtime is implemented in pure C, requires no Python or BLAS during inference, and can operate without a GPU. -
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Arcan
Powerful development framework for creating virtually anything
Arcan is a powerful development framework for creating virtually anything from user interfaces for specialized embedded applications all the way to full-blown standalone desktop environments. At its heart lies a robust and portable multimedia engine, with a well-tested and well-documented Lua scripting interface. The development emphasizes security, debuggability and performance, guided by a principle of least surprise in terms of API design. For the main engine there has been quite some refactoring to reduce input latency; better accommodate variable-refresh rate display; prepare for asymmetric uncooperative multi-GPU and GPU handover; explicit synchronization and runtime transitions back and forth between low (16-bit) to standard (32-bit) to high-definition rendering (10-bit + fp16/fp32). -
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Kimi K3 in C
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU
Kimi K3 in C is a portable C99 inference engine built to run the 2.78-trillion-parameter Kimi K3 model on CPUs without BLAS, machine-learning frameworks, or GPUs. It demonstrates inference from a roughly 1.56 TB checkpoint with measured memory use as low as 8.24 GB. The runtime streams model trunk layers and routed experts from disk instead of keeping all weights resident in memory. -
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WASTE
Run the full 2.78-trillion-parameter Kimi K3 model
...Its main target is the full 2.78-trillion-parameter Kimi K3 model, including multimodal image input. The engine has no third-party runtime dependency on its CPU inference path and exposes both a CLI and C library. An optional server provides an OpenAI-compatible chat API with streaming, tools, structured output, and image support. Validation compares layers, logits, vision output, and prompt rendering against reference implementations. -
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PicoLM
Run a 1-billion parameter LLM on a $10 board with 256MB RAM
PicoLM is an open-source inference framework designed to run large language models on extremely constrained hardware environments such as inexpensive single-board computers and embedded systems. The project focuses on enabling efficient local inference by optimizing memory usage, computation, and system dependencies so that relatively large models can operate on devices with minimal RAM. It is written primarily in C and designed with a minimalist architecture that removes unnecessary... -
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DynamoRIO
Dynamic Instrumentation Tool Platform
DynamoRIO is a runtime code manipulation system that supports code transformations on any part of a program, while it executes. DynamoRIO exports an interface for building dynamic tools for a wide variety of uses: program analysis and understanding, profiling, instrumentation, optimization, translation, etc. Unlike many dynamic tool systems, DynamoRIO is not limited to insertion of callouts/trampolines and allows arbitrary modifications to application instructions via a powerful... -
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The Eagle Project
Implementation of Tcl for the CLR.
Eagle (Extensible Adaptable Generalized Logic Engine) is an implementation of the Tcl scripting language for the Common Language Runtime (CLR). -
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Abscom
A C11 library of reusable data structures and platform utilities.
...An AI/ML layer adds activations, softmax, MSE loss, and numerical gradients for neural-network forward passes. An ultimate layer tops the scientific stack off with computational backend selection (CPU / AVX SIMD / GPU stub), a Micrograd-style scalar autograd engine. -
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Llama 2 Everywhere (L2E)
Llama 2 Everywhere (L2E)
Llama 2 Everywhere (L2E) is an open-source implementation of the LLaMA-2 large language model architecture designed to demonstrate how transformer-based language models can be executed with extremely minimal code. The project focuses on simplicity and educational clarity by implementing inference for LLaMA-style models in a compact C program rather than relying on large machine learning frameworks. Developers can train models using a Python training pipeline and then run inference using a... -
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Real-ESRGAN ncnn Vulkan
NCNN implementation of Real-ESRGAN
Real-ESRGAN ncnn Vulkan is an optimized, cross-platform implementation of Real-ESRGAN using the ncnn neural network inference engine and Vulkan for hardware acceleration. Unlike the standard PyTorch-based Real-ESRGAN code, this variant is written in C/C++ and designed to run efficiently on many platforms (including Windows, Linux, and possibly Android) without requiring heavy frameworks like CUDA or Python. It provides command-line tools for upscaling images with selected models, allowing... -
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XBOOT
The extensible bootloader for embedded system
xboot is a lightweight, modular embedded operating system designed for ARM-based microcontrollers and SoCs. It provides a complete runtime environment including a small kernel, device drivers, file systems, networking stack, GUI system, and scripting interface. xboot aims to be both educational and practical, offering a clear and portable codebase that can be adapted to various embedded platforms. Its minimal design and Lua scripting support make it suitable for quick prototyping and custom... -
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JILRuntime/JewelScript
An object-oriented script language to embed in any application
A general purpose, object-oriented script language that compiles into code for a register based virtual machine. The language is quite similar to object-oriented high-level languages like Java and C#. The library is entirely self-sufficient and ANSI C compliant. It's main purpose is to be embedded in any application to allow automation of that application through scripting. An integrated C++ binding code generator allows you to create bindings for your application's classes in seconds.... -
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The 2DX Project
Java 2D graphics/utility library
The 2DX Project is an ongoing project aiming to provide powerful, versatile, and felxible tools for 2D graphics programming in Java. The 2DX-GL core library provides utilities for animation, geometry, basic physics, and more. The Snap2D game engine/library builds upon the 2DX-GL core library by adding features like 2D world management tools, a dedicated scripting language, and high level rendering via the user's choice of either OpenGL or Java2D (OpenGL recommended for high perormance... -
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Scrupp is a cross-platform 2D engine which uses SDL and OpenGL for visualization. It is controlled by external Lua scripts. The core supports various image, sound, music and font formats. The hard work is done by plugins written in Lua.
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The Patch Integration Engine (PIE) is a system for the insertion of patches into a runtime process, allowing for the immediate correction of security vulnerabilities.
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The Dirt virtual machine is designed to be easily used as a scripting engine or runtime core in C or C++ projects. The language itself is very similar to C. The tools have been created from scratch (no lex/bison/yacc) and are very portable
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