Search Results for "tiny core linux" - Page 18
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Showing 435 open source projects for "tiny core linux"
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free llm plateform on-premise
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Ling 3.0 Tiny
Lightweight MoE model for local reasoning, coding, and AI agents
Ling-3.0-tiny is inclusionAI’s lightweight hybrid reasoning Mixture-of-Experts model, designed to provide capable reasoning and agentic performance at low inference cost. It contains 7.9B total parameters while activating only 1.3B per token, using a hybrid architecture that alternates Kimi Delta Attention and Multi-Head Latent Attention with a sparse 128-expert MoE. The model supports both fast responses and configurable multi-step thinking, covering general agents, coding, mathematics,... -
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CleanTexttools
Open-source browser-based utility for removing markdown artifacts, hid
CleanTextTools Core is the open-source edition of CleanTextTools, a browser-based utility for cleaning text generated by ChatGPT, Claude, Gemini and other AI assistants. The Core edition helps users remove common formatting artifacts while preserving the original wording and meaning of their content. Core features include: * Remove common markdown formatting * Fix inconsistent spacing and line breaks * Remove hidden Unicode characters * Remove emojis * Copy cleaned text *... -
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Finscale
Open Finance and Data Residency Platform
FINSCALE is an open source distribution of Open Finance and data residency platform for financial access use cases. Core features include Identity, accounting and electronic contracts ledger platform. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Agent Commerce Gateway
Turn your existing API into paid tools for AI agents
Agent Commerce Gateway is an open-source, self-hosted commerce layer for AI agents. It sits in front of an existing API and lets agents discover capabilities, pay, and receive results without forcing the merchant to rebuild backend logic for every protocol. ACG keeps one canonical commerce pipeline for validation, pricing, authorization, replay protection, settlement, backend execution, and receipts. Protocols and payment rails are handled through adapters, so MCP, A2A, ACP, UCP, x402, MPP,... -
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granite-timeseries-ttm-r2
Tiny pre-trained IBM model for multivariate time series forecasting
granite-timeseries-ttm-r2 is part of IBM’s TinyTimeMixers (TTM) series—compact, pre-trained models for multivariate time series forecasting. Unlike massive foundation models, TTM models are designed to be lightweight yet powerful, with only ~805K parameters, enabling high performance even on CPU or single-GPU machines. The r2 version is pre-trained on ~700M samples (r2.1 expands to ~1B), delivering up to 15% better accuracy than the r1 version. TTM supports both zero-shot and fine-tuned... -
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Ministral 3 3B Base 2512
Small 3B-base multimodal model ideal for custom AI on edge hardware
Ministral 3 3B Base 2512 is the smallest model in the Ministral 3 family, offering a compact yet capable multimodal architecture suited for lightweight AI applications. It combines a 3.4B-parameter language model with a 0.4B vision encoder, enabling both text and image understanding in a tiny footprint. As the base pretrained model, it is not fine-tuned for instructions or reasoning, making it the ideal foundation for custom post-training, domain adaptation, or specialized downstream tasks.... -
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Altar-1
Pruned GLM-5.3 model for self-hosted cybersecurity AI and coding
Altar-1 is Aikido Security’s open-weight cybersecurity-focused language model, created by pruning GLM-5.3 for more practical self-hosted deployment while retaining its core reasoning capabilities. Starting from GLM-5.3’s 753B-parameter Mixture-of-Experts architecture, Altar removes 34% of routed experts using REAP, leaving 168 of 256 experts per layer and approximately 504B parameters. Eight experts remain active per token, preserving roughly 40B active parameters during inference. The model... -
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Nex-N2-mini
Compact agentic model for coding, tools, and productivity tasks
Nex-N2-mini is an open-source agentic model from Nex AGI designed for real-world productivity, coding, tool use, deep research, and terminal-based execution. Built on Qwen3.5-35B-A3B-Base, it offers a lighter latency and deployment profile than Nex-N2-Pro while preserving the core Nex-N2 “Agentic Thinking” framework. This framework unifies requirement understanding, planning, code implementation, environmental feedback, debugging, evaluation, and iteration into a closed loop. It uses... -
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection -...
