prithivMLmods/Capella-Qwen3-DS-V3.1-4B-GGUF
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Model: prithivMLmods/Capella-Qwen3-DS-V3.1-4B-GGUF
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---
license: apache-2.0
language:
- en
base_model:
- prithivMLmods/Capella-Qwen3-DS-V3.1-4B
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
- math
---
# **Capella-Qwen3-DS-V3.1-4B-GGUF**
> Capella-Qwen3-DS-V3.1-4B is a reasoning-focused model fine-tuned on Qwen-4B using DeepSeek v3.1 synthetic traces (10K). It specializes in random event simulations, logical problem analysis, and structured reasoning tasks. The model blends symbolic precision, probabilistic logic, and structured output fluency—making it an ideal tool for researchers, educators, and developers working with uncertainty modeling and event-driven analysis.
## Model Files
| File Name | Quant Type | File Size |
| - | - | - |
| Capella-Qwen3-DS-V3.1-4B.BF16.gguf | BF16 | 8.05 GB |
| Capella-Qwen3-DS-V3.1-4B.F16.gguf | F16 | 8.05 GB |
| Capella-Qwen3-DS-V3.1-4B.F32.gguf | F32 | 16.1 GB |
| Capella-Qwen3-DS-V3.1-4B.Q2_K.gguf | Q2_K | 1.67 GB |
| Capella-Qwen3-DS-V3.1-4B.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
| Capella-Qwen3-DS-V3.1-4B.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| Capella-Qwen3-DS-V3.1-4B.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
| Capella-Qwen3-DS-V3.1-4B.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
| Capella-Qwen3-DS-V3.1-4B.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
| Capella-Qwen3-DS-V3.1-4B.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| Capella-Qwen3-DS-V3.1-4B.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
| Capella-Qwen3-DS-V3.1-4B.Q6_K.gguf | Q6_K | 3.31 GB |
| Capella-Qwen3-DS-V3.1-4B.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}