Search Results for "llama-cpp-python.whl" - Page 13

FLTKCallback++ is small package which adds more C++ in fltk callback system.

Project purpose is implementation of interpreter of C++ language. In initial phase, aplication will be interpret choosen part of syntax that language (creation static and dynamic variables, simple aritmetic operations, conditions, loops).

C++ source code interpreter for Win 32 platforms, for developers and end-users. The goal of our project is to interpret C++ source code and execute it. The interpreter will run on Win32 platforms. We will create and develop it in C++ language.

A functional layer for scientific uses that produces and manipulates real functions as first-class objects. Includes parts of compilers and symbolic manipulators in a straightforward encapsulation that extends scientific programming far beyond math.h.

Generate C++ header files from cpp files. Inspired by javadoc, and doxygen style source commenting. No need to maintain two seperate files to represent one class. Create and keep your headers up-to-date with your cpp files with little effort.

meta-llama/Llama-3.2-1B is a lightweight, instruction-tuned generative language model developed by Meta, optimized for multilingual dialogue, summarization, and retrieval tasks. With 1.23 billion parameters, it offers strong performance in constrained environments like mobile devices, without sacrificing versatility or multilingual support.

Llama-3.2-1B-Instruct is Meta’s multilingual, instruction-tuned large language model with 1.24 billion parameters, optimized for dialogue, summarization, and retrieval tasks. It builds upon the Llama 3.1 architecture and incorporates fine-tuning techniques like SFT, DPO, and quantization-aware training for improved alignment, efficiency, and safety.

This project is hosted on Github: https://github.com/cinemast/libjson-rpc-cpp

CPPBB is a very fast bulletin board system.

C++ API for the Redland RDF Store.

Hermes 4 405B FP8 is a cutting-edge large language model developed by Nous Research, built on Llama-3.1-405B and optimized for frontier reasoning and alignment. It introduces a hybrid reasoning mode with explicit <think> segments, enabling the model to deliberate deeply when needed and switch to faster responses when desired. Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs. ...

Mellum-4b-base is JetBrains’ first open-source large language model designed and optimized for code-related tasks. Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs. ...

...It takes camera images and natural language instructions as input and outputs normalized 7-DoF robot actions, enabling control of multiple robot types across various domains. Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model supports real-world robotics tasks, with robust generalization to environments seen in pretraining. Its actions include delta values for position, orientation, and gripper status, and can be un-normalized based on robot-specific statistics. ...

Ideas is a project that is cut in 3 parts.The 1st part (cpp) manage the plan(Add,Mod,Rmv).The 2nd part figure out the best way to do somethings and the 3rd part is the give the relation of them. In a word,it get your ideas then give you life.