初始化项目，由ModelHub XC社区提供模型

Model: prithivMLmods/Carinae-Qwen3-Radiation-4B-GGUF
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- prithivMLmods/Carinae-Qwen3-Radiation-4B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+---
+
+# **Carinae-Qwen3-Radiation-4B-GGUF**
+
+> Carinae-Qwen3-Radiation-4B is a reasoning-focused model fine-tuned on Qwen for Abliterated Reasoning and polished token probabilities, enhancing balanced multilingual generation across mathematics and general-purpose reasoning.
+> It specializes in event-driven logic, structured analysis, and precise probabilistic modeling—making it an ideal tool for researchers, educators, and developers working with uncertainty and structured reasoning.
+
+## Model Files
+
+| File Name | Quant Type | File Size |
+| - | - | - |
+| Carinae-Qwen3-Radiation-4B.BF16.gguf | BF16 | 8.05 GB |
+| Carinae-Qwen3-Radiation-4B.F16.gguf | F16 | 8.05 GB |
+| Carinae-Qwen3-Radiation-4B.F32.gguf | F32 | 16.1 GB |
+| Carinae-Qwen3-Radiation-4B.Q2_K.gguf | Q2_K | 1.67 GB |
+| Carinae-Qwen3-Radiation-4B.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
+| Carinae-Qwen3-Radiation-4B.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
+| Carinae-Qwen3-Radiation-4B.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
+| Carinae-Qwen3-Radiation-4B.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
+| Carinae-Qwen3-Radiation-4B.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
+| Carinae-Qwen3-Radiation-4B.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
+| Carinae-Qwen3-Radiation-4B.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
+| Carinae-Qwen3-Radiation-4B.Q6_K.gguf | Q6_K | 3.31 GB |
+| Carinae-Qwen3-Radiation-4B.Q8_0.gguf | Q8_0 | 4.28 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)