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Model: prithivMLmods/Deneb-Qwen3-Radiation-0.6B-GGUF
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---
license: apache-2.0
base_model:
- prithivMLmods/Deneb-Qwen3-Radiation-0.6B
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
- Abliterated
- math
- code
- multilingual
- polished
---
# **Deneb-Qwen3-Radiation-0.6B-GGUF**
> Deneb-Qwen3-Radiation-0.6B 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 |
| - | - | - |
| Deneb-Qwen3-Radiation-0.6B.BF16.gguf | BF16 | 1.2 GB |
| Deneb-Qwen3-Radiation-0.6B.F16.gguf | F16 | 1.2 GB |
| Deneb-Qwen3-Radiation-0.6B.F32.gguf | F32 | 2.39 GB |
| Deneb-Qwen3-Radiation-0.6B.Q2_K.gguf | Q2_K | 296 MB |
| Deneb-Qwen3-Radiation-0.6B.Q3_K_L.gguf | Q3_K_L | 368 MB |
| Deneb-Qwen3-Radiation-0.6B.Q3_K_M.gguf | Q3_K_M | 347 MB |
| Deneb-Qwen3-Radiation-0.6B.Q3_K_S.gguf | Q3_K_S | 323 MB |
| Deneb-Qwen3-Radiation-0.6B.Q4_0.gguf | Q4_0 | 382 MB |
| Deneb-Qwen3-Radiation-0.6B.Q4_1.gguf | Q4_1 | 409 MB |
| Deneb-Qwen3-Radiation-0.6B.Q4_K.gguf | Q4_K | 397 MB |
| Deneb-Qwen3-Radiation-0.6B.Q4_K_M.gguf | Q4_K_M | 397 MB |
| Deneb-Qwen3-Radiation-0.6B.Q4_K_S.gguf | Q4_K_S | 383 MB |
| Deneb-Qwen3-Radiation-0.6B.Q5_0.gguf | Q5_0 | 437 MB |
| Deneb-Qwen3-Radiation-0.6B.Q5_1.gguf | Q5_1 | 464 MB |
| Deneb-Qwen3-Radiation-0.6B.Q5_K.gguf | Q5_K | 444 MB |
| Deneb-Qwen3-Radiation-0.6B.Q5_K_M.gguf | Q5_K_M | 444 MB |
| Deneb-Qwen3-Radiation-0.6B.Q5_K_S.gguf | Q5_K_S | 437 MB |
| Deneb-Qwen3-Radiation-0.6B.Q6_K.gguf | Q6_K | 495 MB |
| Deneb-Qwen3-Radiation-0.6B.Q8_0.gguf | Q8_0 | 639 MB |
## 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": "others", "allow_remote": true}