From 1ca858bf8fb6fe2f95ddb8749d9e1684d27dc2f8 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 22 Apr 2026 11:25:59 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: prithivMLmods/Piaget-1.7B-f32-GGUF Source: Original Platform --- .gitattributes | 47 +++++++++++++++++++++++++++++++++++++++++ Piaget-1.7B.BF16.gguf | 3 +++ Piaget-1.7B.F16.gguf | 3 +++ Piaget-1.7B.F32.gguf | 3 +++ Piaget-1.7B.Q2_K.gguf | 3 +++ Piaget-1.7B.Q3_K_L.gguf | 3 +++ Piaget-1.7B.Q3_K_M.gguf | 3 +++ Piaget-1.7B.Q3_K_S.gguf | 3 +++ Piaget-1.7B.Q4_K_M.gguf | 3 +++ Piaget-1.7B.Q4_K_S.gguf | 3 +++ Piaget-1.7B.Q5_K_M.gguf | 3 +++ Piaget-1.7B.Q5_K_S.gguf | 3 +++ Piaget-1.7B.Q6_K.gguf | 3 +++ Piaget-1.7B.Q8_0.gguf | 3 +++ README.md | 42 ++++++++++++++++++++++++++++++++++++ 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diff --git a/README.md b/README.md new file mode 100644 index 0000000..4f84322 --- /dev/null +++ b/README.md @@ -0,0 +1,42 @@ +--- +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) \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..5d0c447 --- /dev/null +++ b/config.json @@ -0,0 +1,3 @@ +{ + "model_type": "qwen3" +} \ No newline at end of file diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..159097f --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "others", "allow_remote": true} \ No newline at end of file