Search Results for "json-cpp" - Page 24
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591 projects for "json-cpp" with 1 filter applied:
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Ministral 3 3B Instruct 2512
Ultra-efficient 3B multimodal instruct model built for edge deployment
...It supports dozens of languages across major global regions, making it well-suited for multilingual and embedded applications. The model also provides function calling, clean JSON output, and stable tool-use behavior, enabling it to serve as a small but effective agentic system. -
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Ministral 3 14B Instruct 2512
Efficient 14B multimodal instruct model with edge deployment and FP8
...Its multilingual support spans dozens of major languages, making it suitable for global, multilingual, and localized AI applications. The model’s architecture provides native function calling, structured JSON outputs, and reliable tool-use behavior essential for agentic automation. Overall, it delivers a powerful blend of -
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Ministral 3 3B Reasoning 2512
Compact 3B-param multimodal model for efficient on-device reasoning
...It supports dozens of languages, allowing it to function across global and multilingual contexts. The model retains strong system-prompt adherence, supports function-calling with structured JSON output, and offers a large 256k token context window for extended context reasoning. -
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Vortex
Async message based communication system for different languages
Different implementations of a JSON based protocol for interchange of messages between different programming languages in a peer to peer fashion. Currently Java and Javascript support, but more coming. -
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an Apache httpd 2.x module which informs clients about the progress of their file upload. The information formats: JSON, XML, TSV and Text. This is independent of dynamic page systems so you can use this with CGI, FastCGI, PHP, Java and so on.
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Web-based team text translation tool for texts, articles or books. Supports multiple users per document/project/section. Service-oriented application, uses JQuery and JSON with MySQL/PHP. Preliminary release date: 2008-01-01 00:01 GMT!
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Quick Backend is a php class that can be used to create backends to XMLHTTP requests for any AJAX library you choose. It focuses on the concept of "Don't repeat yourself", providing features such as file uploads and JSON generation from an SQL query.
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RPC Redirection Clients
RPC Redirection Clients for various download servers.
Project host various RPC redirection clients for download servers such as Aria or Synology Dowloader. The project features a Json RPC clent written in Java for Aria2 but could be adapted to other servers (thus the broad name). What is a RPC Redir Client? It sends a request, usually a download, to the computer hosting the download server. Source has been committed to Repo. -
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QwQ-32B
QwQ-32B is a reasoning-focused language model for complex tasks
QwQ-32B is a 32.8 billion parameter reasoning-optimized language model developed by Qwen as part of the Qwen2.5 family, designed to outperform conventional instruction-tuned models on complex tasks. Built with RoPE positional encoding, SwiGLU activations, RMSNorm, and Attention QKV bias, it excels in multi-turn conversation and long-form reasoning. It supports an extended context length of up to 131,072 tokens and incorporates supervised fine-tuning and reinforcement learning for enhanced... -
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Qwen2.5-VL-7B-Instruct
Multimodal 7B model for image, video, and text understanding tasks
Qwen2.5-VL-7B-Instruct is a multimodal vision-language model developed by the Qwen team, designed to handle text, images, and long videos with high precision. Fine-tuned from Qwen2.5-VL, this 7-billion-parameter model can interpret visual content such as charts, documents, and user interfaces, as well as recognize common objects. It supports complex tasks like visual question answering, localization with bounding boxes, and structured output generation from documents. The model is also... -
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Qwen2.5-14B-Instruct
Powerful 14B LLM with strong instruction and long-text handling
...Qwen2.5-14B-Instruct is built on a transformer backbone with RoPE, SwiGLU, RMSNorm, and attention QKV bias. It’s resilient to varied prompt styles and is especially effective for JSON and tabular data generation. The model is instruction-tuned and supports chat templating, making it ideal for chatbot and assistant use cases. -
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Mistral Large 3 675B Instruct 2512 Eagle
Speculative-decoding accelerator for the 675B Mistral Large 3
Mistral Large 3 675B Instruct 2512 Eagle is the dedicated speculative-decoding draft model for the full Mistral Large 3 Instruct system, designed to significantly speed up generation while preserving high output quality. It works alongside the primary 675B instruct model, enabling faster response times by predicting several tokens ahead using Mistral’s Eagle speculative method. Built on the same frontier-scale multimodal Mixture-of-Experts architecture, it complements a system featuring 41B... -
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Mistral Large 3 675B Instruct 2512 NVFP4
Quantized 675B multimodal instruct model optimized for NVFP4
Mistral Large 3 675B Instruct 2512 NVFP4 is a frontier-scale multimodal Mixture-of-Experts model featuring 675B total parameters and 41B active parameters, trained from scratch on 3,000 H200 GPUs. This NVFP4 checkpoint is a post-training-activation quantized version of the original instruct model, created through a collaboration between Mistral AI, vLLM, and Red Hat using llm-compressor. It retains the same instruction-tuned behavior as the FP8 model, making it ideal for production... -
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Xidel
Xidel is a cli webpage scraping tool supporting XPath/XQuery 3 and CSS
...It can download files over HTTP/S connections, follow redirections, links, or extracted values, and also process local files. The extracted values can then be exported as plain text/XML/JSON, or assigned to variables to use in other extract expressions. It also provides an online CGI service for testing of XPath / XQuery 3.0 expression. (Xidel is a part of the VideLibri project, so its project page just redirects there ) -
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Mistral Large 3 675B Instruct 2512
Frontier-scale 675B multimodal instruct MoE model for enterprise AIMis
Mistral Large 3 675B Instruct 2512 is a state-of-the-art multimodal granular Mixture-of-Experts model featuring 675B total parameters and 41B active parameters, trained from scratch on 3,000 H200 GPUs. As the instruct-tuned FP8 variant, it is optimized for reliable instruction following, agentic workflows, production-grade assistants, and long-context enterprise tasks. It incorporates a massive 673B-parameter language MoE backbone and a 2.5B-parameter vision encoder, enabling rich multimodal... -
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Brick Think
Free, open-source platform for running LEGO® SERIOUS PLAY® remotely
Brick Think is a free, open-source platform for running LEGO® SERIOUS PLAY® workshops remotely.BrickThink is a free, open-source platform for running LEGO® SERIOUS PLAY® workshops remotely. It brings the full five-stage LSP methodology online — skill building, individual model, shared model, system model, guiding principles — on a shared 2D brick canvas, in real time. It pairs with your existing video call rather than replacing it. Facilitators drive each stage through a live timer and...