Downloads · 30 days
361
18% of all-time downloads
Gacrux-R1-Qwen3-1.7B-MoD-GGUF
prithivMLmods/Gacrux-R1-Qwen3-1.7B-MoD-GGUF
Gacrux-R1-Qwen3-1.7B-MoD-GGUF is a text generation model from prithivMLmods. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Gacrux-R1-Qwen3-1.7B-MoD is a high-efficiency, multi-domain model fine-tuned on Qwen3-1.7B with traces of Mixture of Domains (MoD). It leverages the prithivMLmods/Gargantua-R1-Wee dataset, designed for rigorous mathem…
All-time downloads
2K
Public
Repo size
25.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf25.3 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Aug 20, 2025
- Updated
- Aug 21, 2025
- SHA
- 1ab604e1
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
Gacrux-R1-Qwen3-1.7B-MoD-GGUF
Gacrux-R1-Qwen3-1.7B-MoD is a high-efficiency, multi-domain model fine-tuned on Qwen3-1.7B with traces of Mixture of Domains (MoD). It leverages the prithivMLmods/Gargantua-R1-Wee dataset, designed for rigorous mathematical problem-solving and enriched with multi-domain coverage across mathematics, coding, and science. This model blends symbolic precision, scientific logic, and structured output fluency—making it an ideal tool for developers, educators, and researchers seeking advanced reasoning under constrained compute.
Model Files
| File Name | Quant Type | File Size |
|---|---|---|
| Gacrux-R1-Qwen3-1.7B-MoD.BF16.gguf | BF16 | 3.45 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.F16.gguf | F16 | 3.45 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.F32.gguf | F32 | 6.89 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q2_K.gguf | Q2_K | 778 MB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q3_K_L.gguf | Q3_K_L | 1 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q3_K_M.gguf | Q3_K_M | 940 MB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q3_K_S.gguf | Q3_K_S | 867 MB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q4_K_M.gguf | Q4_K_M | 1.11 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q4_K_S.gguf | Q4_K_S | 1.06 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q5_K_M.gguf | Q5_K_M | 1.26 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q5_K_S.gguf | Q5_K_S | 1.23 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.Q6_K.gguf | Q6_K | 1.42 GB |
| Gacrux-R1-Qwen3-1.7B-MoD.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):
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- apache-2.0
- Languages
- en, zh
- Created
- Aug 20, 2025
- Updated
- Aug 21, 2025