Experimental global target bits‑per‑weight quantization of ServiceNow AI/Apriel 1.6 15b Thinker Using non standard (forked) [LLaMA C++][llm] release [b7520][llm rel] for quantization. Original model: [ServiceNow AI/Apriel 1.6 15b Thinker][mdl] From the original model creators: Summary Apriel 1.6 15B Thinker is an updated multimodal reasoning model in ServiceNow’s Apriel SLM series, building on Apriel 1.5 15B Thinker . With significantly improved text and image reasoning capabilities, Apriel 1.6 achieves competitive performance against models up to 10x its size. Like its predecessor, it benefits from extensive continual pre training across both text and image domains. We additionally perform post training that focuses on Supervised Finetuning (SFT) and Reinforcement Learning (RL). Apriel 1.6 obtains frontier performance without sacrificing reasoning token efficiency. The model improves or maintains task performance when compared with Apriel 1.5 15B Thinker, while reducing reasoning token usage by more than 30\% . Highlights Achieves a score of 57 on the Artificial Analysis index outperforming models like Gemini 2.5 Flash, Claude Haiku 4.5 and GPT OSS 20b. It obtains a score on par w…
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