初始化项目，由ModelHub XC社区提供模型

Model: prithivMLmods/Piaget-1.7B-f32-GGUF
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- gustavecortal/Piaget-1.7B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+---
+
+# **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):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)