Open-weight models promise local AI, with steep hardware and verification trade-offs

Meta’s Muse Spark Open is presented as an open-weight multimodal model at a reported 816-billion-parameter scale with a 1-terabyte RAM requirement, limiting practical local use. MOSS-Image adds Apache 2.0 weights and structured layout prompting, but requires a large download and is accompanied by vendor-run benchmarks; DeepSeek V4.1 Flash performance and pricing claims also await independent verification.