prithivMLmods/Carinae-Qwen3-Radiation-4B-GGUF
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Model: prithivMLmods/Carinae-Qwen3-Radiation-4B-GGUF
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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)

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{
"model_type": "qwen3"
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}