Local LLMs – SEO Pages and Posts

Gemma 4 31B Is sweeping the floor with GLM 5.1

Enhancing Creative Workflows: A Comparative Review of Gemma 4 31B and GLM 5.1 In recent practical testing, I conducted an in-depth side-by-side evaluation of two prominent language models—Gemma 4 31B…

Unlimited October 19, 2026

Local LLMs

How can you be 100% sure local LLM apps aren’t sending your data anywhere?

Ensuring Privacy When Using Local Large Language Model Applications: How Can You Be Certain Your Data Remains Confidential? In recent years, the adoption of local large language model (LLM) applications…

Unlimited October 19, 2026

Local LLMs

another trash shooter as an LLM benchmark, locally generated in 15min

Recreating Classic Shooter Aesthetics with Local Large Language Models: A Quick Benchmark in 15 Minutes As an enthusiast of vintage first-person shooters, I have a deep appreciation for the classics…

Unlimited October 19, 2026

Local LLMs

Qwen 3.8 27B is like Opus 4.6!

Exploring the Power of Qwen 3.8 27B: A Game-Changer in AI-Driven Development In the rapidly evolving landscape of artificial intelligence, recent advancements continue to reshape how enthusiasts and professionals approach…

Unlimited October 19, 2026

Local LLMs

Qwen 3.8 27B on a 3090 with a Sonnet 5.5 as a planner: 2.7x cheaper, real numbers

Analyzing Cost-Effective Physics Simulation with Qwen 3.8 27B on a High-End GPU in an Autonomous Agent Setup In the evolving landscape of artificial intelligence-driven simulations, balancing performance, accuracy, and cost…

Unlimited October 19, 2026

Local LLMs

RDMA – Anyone but me using it?

Exploring the Use of RDMA for Multi-Node Large Model Deployment: Experiences and Challenges In the rapidly evolving landscape of AI model deployment, achieving optimal performance and stability across multi-node setups…

Unlimited October 19, 2026

Local LLMs

We quantized Qwen 3.8 27B and compared the quants on an RTX 6000

Evaluating Quantization Methods for Qwen 3.8 27B Using RTX 6000: An In-Depth Analysis In our recent project, my team and I focused on developing and assessing various quantization techniques for…

Unlimited October 19, 2026

Local LLMs

Beginner confused about Ollama vs LM Studio vs llama.cpp vs vLLM vs Unsloth — can someone explain?

Understanding Local Large Language Model (LLM) Tools: A Beginner’s Guide Introduction As artificial intelligence continues to evolve, many enthusiasts and developers are eager to experiment with local deployment of large…

Unlimited October 19, 2026

Local LLMs

No more www google searches by January 2027.

Upcoming Changes to Google Programmable Search Engine: What This Means for Web Search Integration in AI Applications In a significant development, Google has announced plans to disable the use of…

Unlimited October 19, 2026

Local LLMs

Guide for running dense models on ≤16 GB VRAM (Qwen 3.8 27B on 16 GB -> Q4_K_M, 130k ctx, ~20 t/s).

Optimizing Dense Language Models for ≤16 GB VRAM: A Practical Guide with Qwen 3.8 27B In the rapidly evolving world of large language models (LLMs), running powerful dense models such…

Unlimited October 19, 2026