Comparison of Hugo Page Translation quality - LLMs on Ollama
qwen3 8b, 14b and 30b, devstral 24b, mistral small 24b
In this test I’m comparing how different LLMs hosted on Ollama translate Hugo page in English to German.
Ollama
Reranking texts with Ollama and Qwen3 Embedding LLM - in Go
Implementing RAG? Here are some codesnippets in Golang..
This little Reranking Go code example is calling Ollama to generate embeddings for the query and for eache candidate document, then sorting descending by cosine similarity.
Qwen3 Embedding & Reranker Models on Ollama: State-of-the-Art Performance
New awesome LLMs available in Ollama
The Qwen3 Embedding and Reranker models are the latest releases in the Qwen family, specifically designed for advanced text embedding, retrieval, and reranking tasks.
LLM Performance and PCIe Lanes: Key Considerations
Thinking of installing second gpu for LLMs?
How PCIe Lanes Affect LLM Performance? Depending on the task. For training and multi-gpu inferrence - perdormance drop is significant.
Convert HTML content to Markdown using LLM and Ollama
LLM to extract text from HTML...
In the Ollama models library there are models that able convert HTML content to Markdown, which is useful for content conversion tasks.
AI Coding Assistants comparison
Cursor AI vs GitHub Copilot vs Cline AI vs...
Will list here some AI-assisted coding tools and AI Coding Assistants and their nice sides.
Test: How Ollama is using Intel CPU Performance and Efficient Cores
Ollama on Intel CPU Efficient vs Performance cores
I’ve got a theory to test - if utilising ALL cores on Intel CPU would raise the speed of LLMs? This is bugging me that new gemma3 27 bit model (gemma3:27b, 17GB on ollama) is not fitting into 16GB VRAM of my GPU, and partially running on CPU.
How Ollama Handles Parallel Requests
Understand Ollama concurrency, queueing, and how to tune OLLAMA_NUM_PARALLEL for stable parallel requests.
This guide explains how Ollama handles parallel requests (concurrency, queuing, and resource limits), and how to tune it using the OLLAMA_NUM_PARALLEL environment variable (and related knobs).
Testing Deepseek-R1 on Ollama
Comparing two deepseek-r1 models to two base ones
DeepSeek’s first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.
Ollama CLI Cheatsheet: ls, serve, run, ps + commands (2026 update)
Updated Ollama command list - ls, ps, run, serve, etc
This Ollama CLI cheatsheet focuses on the commands you use every day (ollama ls, ollama serve, ollama run, ollama ps, model management, and common workflows), with examples you can copy/paste.
Mistral Small, Gemma 2, Qwen 2.5, Mistral Nemo, LLama3 and Phi - LLM Test
Next round of LLM tests
Not long ago was released. Let’s catch up and test how Mistral Small performs comparing to other LLMs.
Reranking with embedding models
A python code of RAG's reranking
Choosing best LLM for Perplexica
So many models with billions of parameters..
Testing how Perplexica performs with various LLMs running on local Ollama: Llama3, Llama3.1, Hermes 3, Mistral Nemo, Mistral Large, Gemma 2, Qwen2, Phi 3 and Command-r of various quants and selecting The best LLM for Perplexica
Farfalle vs Perplexica
Comparing two self-hosted AI search engines
Awesome food is the pleasure for your eyes too. But in this post we will compare two AI-based search systems, Farfalle and Perplexica.
Self-hosting Perplexica - with Ollama
Running copilot-style service locally? Easy!
That’s very exciting! Instead of calling copilot or perplexity.ai and telling all the world what you are after, you can now host similar service on your own PC or laptop!
Gemma2 vs Qwen2 vs Mistral Nemo vs...
Testing logical fallacy detection
Recently we have seen several new LLMs were released. Exciting times. Let’s test and see how they perform when detecting logical fallacies.