Piaget-1.7B-f32-GGUF

Piaget is a language model fine-tuned on 15,000 psychological and philosophical reasoning traces. Built on top of Qwen3, it was trained using a curated subset of open reasoning data from Dolphin R1 and the General Reasoning dataset. Piaget is designed to explore and reason about complex human-centered concepts such as self-image, emotion, and existence. The model was inspired by insights from the position paper Improving Language Models for Emotion Analysis: Insights from Cognitive Science, which highlights the importance of cognitive science in enhancing emotion understanding in language models.

Model Files

File Name	Quant Type	Size
Piaget-1.7B.BF16.gguf	BF16	3.45 GB
Piaget-1.7B.F16.gguf	F16	3.45 GB
Piaget-1.7B.F32.gguf	F32	6.89 GB
Piaget-1.7B.Q2_K.gguf	Q2_K	778 MB
Piaget-1.7B.Q3_K_L.gguf	Q3_K_L	1 GB
Piaget-1.7B.Q3_K_M.gguf	Q3_K_M	940 MB
Piaget-1.7B.Q3_K_S.gguf	Q3_K_S	867 MB
Piaget-1.7B.Q4_K_M.gguf	Q4_K_M	1.11 GB
Piaget-1.7B.Q4_K_S.gguf	Q4_K_S	1.06 GB
Piaget-1.7B.Q5_K_M.gguf	Q5_K_M	1.26 GB
Piaget-1.7B.Q5_K_S.gguf	Q5_K_S	1.23 GB
Piaget-1.7B.Q6_K.gguf	Q6_K	1.42 GB
Piaget-1.7B.Q8_0.gguf	Q8_0	1.83 GB

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):