Spark X2.6 4B Local Test | Beats Qwen3.5 4B? | Agentic Work, Coding & RAG Test | 16GB Local AI Setup

Are 4B models too small to be useful? No, but you need to know what problem you're trying to solve with them. I ran Spark X2.6 locally and tested coding, RAG, and agentic tasks using llama.cpp. One result surprised me, and the other confirmed my doubts. DaBench run: https://dabench.ai/model/spark-x-2-6-4b Weights: https://huggingface.co/XHToken/Spark-X2.6-4B-GGUF AI Academy: https://MLExpert.io Work with me: https://mlexpert.io/consulting DaBench (open weight LLM benchmarks): https://dabench.ai LinkedIn: https://www.linkedin.com/in/venelin-valkov Follow me on X: https://twitter.com/venelin_