Model Detail

ThinkingCap-Qwen3.6-27B-int4-AutoRound-v1 is a large language model with 27B parameters released by josefprusa. The model is registered under the text-generation pipeline tag on Hugging Face.

ThinkingCap-Qwen3.6-27B-int4-AutoRound-v1 ships with 27B parameters, distributed as a quantized weight variant for lower-VRAM inference. Total weight footprint is approximately 6.3 GB, which is the relevant figure when planning local-inference VRAM.

ThinkingCap-Qwen3.6-27B-int4-AutoRound-v1 is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.