Did you know that DeepSeek-R1 is shaking up AI? 🫨 . This open-source model rivals OpenAI’s o1, offering 671B parameters with only 37B activated per pass, making it powerful and efficient. With reinforcement learning, chain-of-thought reasoning, and self-verification, it excels

We’ve just published a complete, step-by-step guide that walks you through deploying Qwen3-Coder on GPU VMs and setting up Qwen Code CLI so you can harness the full power of both. Read the full guide here:

With enhanced parsing, robust code understanding, and the ability to automate coding tasks right from your terminal, Qwen Code CLI is perfect for both everyday scripting and pro-level workflow automation.

But that’s not all —.Meet the Qwen Code CLI: an AI-powered command-line workflow tool adapted from Gemini CLI, now fully optimized for Qwen3-Coder models.

Whether you’re dealing with huge codebases, automating complex workflows, or pushing the limits of multilingual programming, Qwen3-Coder is built to deliver speed, precision, and seamless tool integration.

The all-new Qwen3-Coder-480B-A35B-Instruct is here—a true powerhouse model designed for deep reasoning, agentic coding workflows, and massive long-context support (up to 256K tokens natively and 1 million with Yarn!). #Qwen3Coder #Qwen3 #AIModels #LLMs #OpenSource

We just published a hands-on guide to help you install it locally in minutes. If you’re building with voice, this one’s worth your time. 🔗 Read here:

Meet Higgs Audio v2, an open-source audio foundation model currently trending on Hugging Face, and is trained on over 10M hours of data, packed with crazy capabilities like: .- Zero-shot emotional TTS .- Deep language + acoustic understanding .- Natural multi-speaker dialogues.

Ever heard a model that can speak in your cloned voice, narrate like a human, and translate the spoken words, all without a single fine-tuning step?

We cover:.- Full Python + CUDA environment setup.- Multi-GPU VM configuration.- Optimized transformers installation.- A tested Python script with real outputs.- Tips for running MoE models smoothly without crashing your system. Dive in here:

Whether you're a researcher, developer, or someone just exploring what these massive models can really do — our guide walks you through everything from GPU setup to generating your first output.

With 256K token context, top-tier reasoning, multi-language skills, and standout performance on benchmarks like GPQA, ARC-AGI, and ZebraLogic — this model means business. And we’ve just published a complete step-by-step guide to install and run it on a GPU VM!.

Qwen just dropped a beast — and it overperforms nearly every other model out there!. Their latest release, Qwen3-235B-A22B-Instruct-2507, is a mixture-of-experts language model that blends raw power with incredible instruction-following abilities. #Qwen3Coder #AImodel

In our latest guide, we'll walk you through how to get it up and running in minutes locally or in GPU environments with NodeShift. 🔗 Read here:

If you're working with Medical data, parsing medical guidelines, or building intelligent clinical assistants, MediPhi-Instruct is a 3.8B parameter model that performs way above its weight.

MediPhi is built with the power of 7 expert models, fused using advanced techniques like SLERP and BreadCrumbs, and is designed to run efficiently even in low-resource settings, without sacrificing accuracy.

The Future of Clinical NLP Just Got More Powerful. Microsoft's MediPhi-Instruct is not just another language model, it's a modular, clinically aligned AI built for real-world medical use cases.

Check out the full guide here: If you’re working in retrieval systems, search, or ranking tasks — or if you just love exploring the cutting edge of open-source models — this one’s for you. #AImodel #LLMs #OpenSource #artificialintellegence.

✅ FastAPI REST API (fastapi_rerank) → turn the model into a scalable, programmatic service. We didn’t just spin up the model — we built a complete, flexible stack for developers, researchers, and even non-technical users to interact with Zerank-1-Small however they need.

✅ Batch reranking from CSV (batch_rerank) → process large sets of pairs, output results to CSV . ✅ Gradio web UI (gradio_rerank) → browser-based, no-code interface to test model live.

Here’s a sneak peek of what we covered (and tested hands-on):.✅ Simple script testing (run_zerank) → direct model inference on query-document pairs. ✅ Interactive CLI tool (cli_rerank) → type queries live in terminal, explore relevance scores.