vLLM vs Ollama: Production Serving Throughput and VRAM Benchmarks on Linux
A rigorous performance test evaluating request concurrency, token throughput, and memory offload between vLLM and Ollama on Linux workstations.
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Practical workflows, local LLMs, and AI automation guides.
A rigorous performance test evaluating request concurrency, token throughput, and memory offload between vLLM and Ollama on Linux workstations.
<p>Tool-call accuracy in vLLM often degrades due to mismatched sampling parameters and parser configurations. This guide walks through a Linux-based fix using guided decoding and prompt tuning.</p>
<p>The Anthropic S-1 filing is the top Hacker News story with 973 points, making it a practical dataset for building a local SEC EDGAR parser. This guide shows how to fetch, validate, and extract structured text from the filing on Linux.</p>
Deploy a high-performance vector search database and connect it to LangChain for accurate, context-aware document question answering.
A practical tutorial on fine-tuning open-source LLMs on custom instruction datasets with 2x speed and minimum VRAM overhead on Linux.
A complete, production-ready guide to running the ChatGPT-like Open WebUI interface on your self-hosted Linux server with hardware acceleration.
Achieve 4x faster speech-to-text transcription locally on Linux using CTranslate2 and Whisper models without cloud fees.
Convert raw Hugging Face transformer checkpoints into memory-efficient GGUF files ready for zero-latency execution in Ollama and LM Studio.
Learn how to constrain LLM code generation to produce safe Bash scripts with strict error traps, input validation, and dry-run flags.
A practical guide to building an offline semantic document search CLI using ChromaDB vector database and sentence-transformers on Ubuntu.
Configure Continue.dev inside VS Code on Linux to get instant autocomplete and inline code refactoring powered by local open-weight models.
A practical automation guide using Python and Ollama to parse Linux system logs, extract security anomalies, and send concise daily summaries.