#llama-cpp
10 posts tagged with #llama-cpp
Every article below is hand-written, technically reviewed, and focused on llama-cpp. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
Technology Local LLM Benchmark Methodology [2026]: TTFT vs tok/s Done Right
Stop screenshot-benchmarking. Here’s a reproducible local LLM benchmark methodology for 2026 that separates TTFT from throughput and reports rerunnable results.
AI and Machine Learning RTX 4060 Ti vs RTX 4070 for Local LLM Inference in 2026
I'd pick the RTX 4060 Ti if you're running sub-13B models solo on a tight budget, and the RTX 4070 if VRAM headroom and generation speed actually matter to your workflow. The $150 price gap is real, but so is the performance cliff you hit at 16GB models.
AI and Machine Learning LLM Quantization Levels Compared: Q4_K_M vs Q8_0 vs FP16 [2026]
The practitioner's guide to choosing between Q4_K_M, Q5_K_S, Q8_0, and FP16 quantization for local LLMs — with real perplexity numbers, throughput benchmarks, and per-use-case recommendations.
![GGUF vs GPTQ vs EXL2: LLM Quantization Compared [2026]](https://img.kunalganglani.com/images/vzekdneq/production/34e429bea58e21d5119b5baad6b9efe44974be77-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning GGUF vs GPTQ vs EXL2: LLM Quantization Compared [2026]
A head-to-head comparison of GGUF, GPTQ, and EXL2 quantization formats with real quality, speed, and VRAM trade-offs — updated for the 2026 Hugging Face acquisition of ggml.ai.
AI and Machine Learning How to Run Local Agentic AI on Your Mac With MLX After WWDC 2026
Apple's WWDC 2026 MLX session was 13 minutes and skipped the hard parts. Here's the full setup: model selection, MTP speculative decoding, multimodal support, and wiring it all to a coding agent.
Developer Tools Text Generation WebUI vs Ollama 2026: Which Local LLM Tool Wins?
Ollama wins for developers who want a fast, CLI-first runtime with clean API integration; Text Generation WebUI wins for researchers and power users who need deep model control and a browser-based interface. Your choice hinges on whether you optimize for simplicity or configurability.
Developer Tools Ollama vs llama.cpp 2026: Which Local LLM Tool Actually Wins?
Ollama wins for developers who want a fast, polished setup with REST APIs and model management. llama.cpp wins for power users squeezing every last token of performance from their hardware.
Developer Tools Ollama vs Llamafile 2026: Which Local LLM Tool Actually Wins?
Ollama wins for developers who want a persistent API server with a rich model library and ecosystem integrations. Llamafile wins for anyone who needs zero-install portability — one executable, any machine, no setup.
Developer Tools LM Studio vs Jan (2026): Which Local LLM GUI Actually Wins?
LM Studio wins for polished UX and OpenAI-compatible APIs; Jan wins for open-source transparency and offline-first privacy. Here's exactly when to pick each.
Technology AMD ROCm vs CUDA for Local AI [2026 Compared]
After months of running LLMs on AMD hardware, here's the brutally honest comparison of ROCm vs CUDA that no marketing page will give you — covering real performance, setup friction, and which GPUs actually work.