AI Models News is a technical publication covering the fast-moving world of AI models — written for developers, ML engineers, and infrastructure teams who want reproducible numbers instead of marketing claims.
What we cover
- Local Deployment & Hardware — VRAM requirements, quantization formats, and tested setups for running models on your own hardware with Ollama, llama.cpp, and LM Studio.
- Benchmarks & Comparisons — head-to-head evaluations with published methodology: MMLU, HumanEval, GSM8K, tokens-per-second, and cost per million tokens.
- Open-Source Models & Weights — new open-weight releases, license analysis, and where each checkpoint actually fits in a production stack.
- Developer Tools & Fine-Tuning — LoRA/QLoRA guides, inference servers, RAG pipelines, and evaluation tooling with complete working configs.
How we work
Every benchmark we publish states the hardware, quantization level, and prompt set used, so you can reproduce the result. Every tutorial ships with a complete configuration, not fragments. When we get something wrong, we correct it publicly.
Questions, corrections, or tips: contact@aimodelsnews.com.