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):