Piaget-4B-GGUF

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):