Downloads · 30 days
63
8% of all-time downloads
prithivMLmods/Draconis-Qwen3_Math-GGUF
Draconis-Qwen3_Math-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.
Draconis-Qwen3\Math-4B-Preview is fine-tuned on the Qwen3-4B architecture, optimized for excellence in mathematical reasoning, logical problem solving, and structured content generation. This preview model focuses on…
Downloads · 30 days
63
8% of all-time downloads
All-time downloads
798
Public
Repo size
50.4 GB
Likes
0
Public
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.gguf50.4 GB · 100%
From the Hugging Face model README
Draconis-Qwen3_Math-4B-Preview is fine-tuned on the Qwen3-4B architecture, optimized for excellence in mathematical reasoning, logical problem solving, and structured content generation. This preview model focuses on precision, step-by-step reasoning, and efficient inference, making it ideal for educational and technical applications where reliability and compact performance are essential.
| File Name | Size | Commit Message | Time Uploaded |
|---|---|---|---|
.gitattributes | 2.19 kB | Upload folder using huggingface_hub | 3 minutes ago |
Draconis-Qwen3_Math.Q4_K_M.gguf | 2.5 GB | Upload folder using huggingface_hub | 3 minutes ago |
Draconis-Qwen3_Math.Q4_K_S.gguf | 2.38 GB | Upload folder using huggingface_hub | 3 minutes ago |
Draconis-Qwen3_Math.Q5_K_M.gguf | 2.89 GB | Upload folder using huggingface_hub | 3 minutes ago |
Draconis-Qwen3_Math.Q5_K_S.gguf | 2.82 GB | Upload folder using huggingface_hub | 3 minutes ago |
Draconis-Qwen3_Math.Q6_K.gguf | 3.31 GB | Upload folder using huggingface_hub | 3 minutes ago |
Draconis-Qwen3_Math.Q8_0.gguf | 4.28 GB | Upload folder using huggingface_hub | 3 minutes ago |
Draconis-Qwen3_Math.BF16.gguf | 8.05 GB | Upload folder using huggingface_hub | 29 minutes ago |
Draconis-Qwen3_Math.F16.gguf | 8.05 GB | Upload folder using huggingface_hub | 29 minutes ago |
Draconis-Qwen3_Math.F32.gguf | 16.1 GB | Upload folder using huggingface_hub | 29 minutes ago |
README.md | 669 Bytes | Update README.md | Less than a minute ago |
config.json | 31 Bytes | Upload folder using huggingface_hub | About 1 hour ago |
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 0.4 | |
| GGUF | Q3_K_S | 0.5 | |
| GGUF | Q3_K_M | 0.5 | lower quality |
| GGUF | Q3_K_L | 0.5 | |
| GGUF | IQ4_XS | 0.6 | |
| GGUF | Q4_K_S | 0.6 | fast, recommended |
| GGUF | Q4_K_M | 0.6 | fast, recommended |
| GGUF | Q5_K_S | 0.6 | |
| GGUF | Q5_K_M | 0.7 | |
| GGUF | Q6_K | 0.7 | very good quality |
| GGUF | Q8_0 | 0.9 | fast, best quality |
| GGUF | f16 | 1.6 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
