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May 10, 2025

How to Install Falcon Mamba 7B: Abu Dhabi’s Breakthrough State Space Model

If you’ve ever hit a wall running large language models on limited hardware, Falcon Mamba 7B is about to change that. Developed by the Technology Innovation Institute (TII) in Abu Dhabi, Falcon Mamba is the world’s first high-performing, attention-free 7B parameter model built entirely on the Mamba architecture, a novel state-space design that ditches traditional attention mechanisms. Unlike transformer-based models that struggle with memory and computation as sequence lengths grow, Falcon Mamba excels by processing sequences of any length using constant memory and generation time per token. It incorporates additional RMS normalization layers for stable, scalable training, and has been trained on a massive 5500 GT of data, including RefinedWeb, technical documents, and public code repositories. The result is a model that’s not only efficient and scalable but also competitive with state-of-the-art transformer models, all while being lightweight enough to run on a single A10 24GB GPU.

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May 9, 2025

How to Install NVIDIA Parakeet TDT 0.6B V2 Locally?

Parakeet-TDT 0.6B V2 is a high-performance speech-to-text model developed by NVIDIA for English audio transcription. Built on the FastConformer architecture with a TDT decoder, it’s designed to handle long-form speech (up to 24 minutes) while preserving punctuation, capitalization, and accurate word-level timestamps. Whether you’re transcribing conversations, meetings, or spoken content with background noise, this model delivers fast and reliable results — making it a powerful tool for developers, researchers, and transcription workflows. It supports .wav and .flac formats and is fully optimized for GPU acceleration.

May 8, 2025

A Step-By-Step Guide to Running AgenticSeek Locally: No API Needed

If you’ve ever imagined having your own Jarvis (Just A Rather Very Intelligent System), an AI that can code, browse the web, plan projects, and even chat with you through voice, all while staying completely offline and private, AgenticSeek is that vision made real. This open-source, fully local alternative to invite dependant AI assistants like Manus AI brings next-gen capabilities directly to your device. On your command, AgenticSeek autonomously chooses the right AI agent, fetches information from the internet, writes or debugs code, fills out web forms, and even builds a plan to execute your task. And it does all this without needing any API usage, and can be operated locally, meaning your data never goes to an external unknown server.

May 7, 2025

How to Install Falcon 3 Locally?

Falcon 3 marks a bold step forward in open and efficient AI development. Built by the Technology Innovation Institute (TII) in Abu Dhabi, Falcon 3 is a family of language models crafted to balance power, performance, and accessibility — all while staying under the 10 billion parameter mark. Designed to excel in science, mathematics, and coding, these models showcase innovative training techniques that improve both reasoning and real-world usability. The lineup includes a range of models from lightweight (1B) to highly capable versions (up to 10B), each tuned for different levels of complexity and tasks. Whether you need a small, fast model for everyday tasks or a strong reasoning model for math and coding challenges, Falcon 3 delivers. From knowledge distillation for tiny models to advanced pre-training for larger ones, Falcon 3 combines efficiency with smart design. The models are open, easy to integrate, and optimized for long context tasks — making them ideal for developers, researchers, and anyone looking to build powerful AI solutions without the heavy compute costs.

May 6, 2025

How to Install Foundation-Sec 8B by Cisco: The Ultimate Cybersecurity AI Model

In the fast-evolving landscape of cybersecurity, the ability to leverage AI models tailored for domain-specific intelligence is no longer a dream, it’s a reality. Foundation-Sec-8B, developed by the Foundation AI team at Cisco, sets a new benchmark for open-weight, domain-specialized language models. Built on the Llama-3.1-8B backbone, this 8-billion parameter transformer model is rigorously trained on a rich corpus of cybersecurity-specific data, ranging from threat intelligence reports to incident response documentation and vulnerability databases. Foundation-Sec-8B sets itself apart with its deep understanding of core security principles across diverse domains, offering capabilities like threat mapping, vulnerability prioritization, attack simulation, and SOC workflow automation. It can power use cases such as alert triage, security configuration validation, compliance evidence extraction, and even red-team planning with nuanced contextual awareness. It is designed for secure local or cloud deployment, and empowers organizations to build privacy-preserving, AI-driven security solutions, making it ideal for environments demanding high regulatory compliance and operational control.

May 5, 2025

How to Install Nari Dia 1.6 B Locally?

Dia 1.6B by Nari Labs is a cutting-edge text-to-speech model built to transform transcripts into highly realistic, emotionally rich audio dialogues. Unlike traditional models, Dia is designed with versatility in mind. It not only reads out text but brings it alive with expressions such as laughter, sighs, and other non-verbal cues. This makes it ideal for generating lifelike conversations, podcasts, or even adding voices to scripts. Dia supports dynamic dialogue tags like [S1] and [S2] to alternate between speakers naturally. In addition, it allows users to clone voices, and even control tone and emotion using audio conditioning — making content creation more engaging than ever before. While currently optimized for English, Dia aims to push the limits of voice generation, ensuring each audio output feels natural and spontaneous. Whether you’re working on media content, creating conversational interfaces, or experimenting with new ways of storytelling — Dia 1.6B offers a flexible and powerful solution right out of the box.

May 3, 2025

How to Install Qwen2.5-Omni 3B Locally

Nowadays, the ability to seamlessly integrate and process multiple data modalities, text, images, audio, and video, is no longer a surprise but has become a necessity. However, Alibaba has once again gone one step further with its latest open-source multimodal model, Qwen2.5-Omni 3B. This model is designed to perceive diverse inputs and generate both text and natural speech responses in real-time. This means, unlike before, AI can now generate the same or different responses with multiple modalities simultaneously. Its innovative Thinker-Talker architecture enables synchronized understanding and generation across various data types, making it an invaluable open-source model for applications ranging from real-time voice and video interactions to advanced content analysis and creative content generation.

May 2, 2025

How to Install Microsoft Phi-4 Reasoning Locally?

Phi-4-Reasoning is Microsoft’s specialized model crafted to tackle advanced reasoning tasks with precision. Built on the solid foundation of Phi-4, this version has been carefully fine-tuned using high-quality datasets focusing on math, science, and coding challenges. What makes it stand out is its ability to walk through problems step-by-step, offering thoughtful explanations before arriving at final answers. With a focus on logical reasoning, chain-of-thought workflows, and advanced problem-solving, it performs impressively even against much larger models — all while running on a relatively efficient 14B parameter architecture. Ideal for scenarios where smart reasoning and accuracy matter the most, Phi-4-Reasoning shines in math olympiad problems, scientific queries, and complex coding tasks, while keeping the output clear, safe, and grounded.

May 1, 2025

A Step-By-Step Guide to Install DeepSeek-Prover-V2 Locally

DeepSeek-Prover-V2 is a powerful new AI model lanuched by DeepSeek which is designed to solve complex math problems by writing formal proofs in Lean 4. It uses a smart training method that starts by breaking big problems into smaller steps, then solves each step using DeepSeek-V3’s reasoning abilities. These step-by-step solutions are turned into detailed examples that help the model learn how to combine informal explanations with formal math. This unique process makes DeepSeek-Prover-V2 highly skilled at understanding and proving a wide range of mathematical theorems, from high school competition problems to advanced university-level concepts. With strong results like an 88.9% pass rate on the MiniF2F test and support for a wide range of topics, DeepSeek-Prover-V2 is a valuable tool for anyone working on formal reasoning or math automation.

April 30, 2025

How to Install Qwen 3 Locally?

Built across eight sizes (0.6B, 1.7B, 4B, 8B, 14B, 30B, 32B, and 235B), the Qwen 3 family delivers a major leap in understanding, reasoning, and communication. With both dense and MoE (Mixture of Experts) models, there’s something for every use case — from lightweight tasks to heavyweight thinking. What sets Qwen 3 apart? ✅ Multilingual by default: Trained across 119 languages and dialects using a jaw-dropping 36 trillion words, it understands cultural nuance and translates like a native. ✅ Outperforms its predecessors: Smaller Qwen 3 models now outperform the bigger ones from the previous series. For instance, Qwen3-1.7B performs at the level of the older 3B model — and so on up the chain. ✅ Smarter reasoning: Thanks to a three-stage training approach, it’s excellent at STEM, logic, and writing complex code — not just chatting. ✅ Built for deep conversations: From math problems to creative storytelling, Qwen 3 seamlessly shifts between quick replies and deep thinking — depending on the challenge. ✅ Improved memory: Long documents, detailed instructions, or multi-turn dialogues? It holds context like a pro. ✅ Agent-ready: Strong decision-making and planning skills make it a great fit for tools that require step-by-step reasoning or goal-driven output. ✅ MCP support: Ready to work with multi-component processing frameworks out of the box.

April 29, 2025

How to Install Kimi-Audio 7B Instruct Locally

Kimi-Audio is a powerful open-source model built to understand and generate audio in several interesting ways. If you’re working on automatic speech recognition, audio question answering, or even building interactive voice-based applications, Kimi-Audio delivers a unified solution backed by over 13 million hours of audio pretraining and a novel architecture that blends acoustic and semantic audio processing. Along with being highly accurate, it’s state-of-the-art across multiple benchmarks, making it a serious model for any developer or researcher in audio AI.

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