Piaget, a language model finetuned on 15k psychological and philosophical reasoning traces. Piaget is based on Qwen3 and was finetuned on a subset of open reasoning traces from Dolphin R1 and General Reasoning. Performed domain filtering on Dolphin R1 and General Reasoning. Prompts were embedded, clustered with k-means (k=20 000) and majority-voted for domain labels using Qwen3-1.7B, following the Intelligent Internet pipeline. Clusters tagged psychology or philosophy were retained for LoRA finetuning (rank=8, alpha=16, max length=2048, epoch=1, batch size=16). Piaget aims to reason about psychological and philosophical concepts such as self-image, emotion, and existence. Piaget was inspired by my position paper on emotion analysis: Improving Language Models for Emotion Analysis: Insights from Cognitive Science.
Model files
File
Size
Format
Piaget-4B.BF16.gguf
8.05 GB
BF16
Piaget-4B.F16.gguf
8.05 GB
F16
Piaget-4B.F32.gguf
16.1 GB
F32
Piaget-4B.Q2_K.gguf
1.67 GB
Q2_K
Piaget-4B.Q3_K_L.gguf
2.24 GB
Q3_K_L
Piaget-4B.Q3_K_M.gguf
2.08 GB
Q3_K_M
Piaget-4B.Q3_K_S.gguf
1.89 GB
Q3_K_S
Piaget-4B.Q4_K_M.gguf
2.5 GB
Q4_K_M
Piaget-4B.Q4_K_S.gguf
2.38 GB
Q4_K_S
Piaget-4B.Q5_K_M.gguf
2.89 GB
Q5_K_M
Piaget-4B.Q5_K_S.gguf
2.82 GB
Q5_K_S
Piaget-4B.Q6_K.gguf
3.31 GB
Q6_K
Piaget-4B.Q8_0.gguf
4.28 GB
Q8_0
.gitattributes
2.4 kB
-
README.md
65 Bytes
-
config.json
29 Bytes
-
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):
