KV Cache Quantization in llama.cpp for Consumer VRAM
Calculate llama.cpp KV-cache memory with block overhead, configure K/V types, and test fit and quality on your GPU with an illustrative 32k/64k example.
Running open weights locally: VRAM footprints, quantization trade-offs, inference runtimes, and model comparisons.
Calculate llama.cpp KV-cache memory with block overhead, configure K/V types, and test fit and quality on your GPU with an illustrative 32k/64k example.
Configure local coding models in VS Code with Ollama and Continue YAML, verify the backend, understand privacy limits, and compare tools honestly.
Compare Q4_K_M, Q5_K_M, and Q6_K responsibly with pinned GGUF files, repeated llama-bench runs, measured VRAM, and retained quality tests.
Build local PDF Q&A with current LangChain packages, labeled source chunks, validated citation IDs, retrieval tests, and honest hallucination limits.
Compare Faster-Whisper and whisper.cpp with current installation commands, built-in VAD options, hardware backends, and a repeatable audio test plan.
Plan a private CPU-based Ollama server with current DigitalOcean pricing, realistic memory limits, SSH-tunneled access, and repeatable measurements.
Compare Intel N100 and Ryzen 5 5500U mini PCs for Ollama using official CPU specifications, system-specific buying checks, and a repeatable benchmark.
Build a reproducible RTX 4070 local-LLM benchmark with pinned models, separate prompt and generation tests, saved outputs, and honest quality scoring.