Draconis-Qwen3_Math-4B-Preview-GGUF
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.
Model File
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 |
Quants Usage
(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):
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Hardware compatibility
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Model tree for prithivMLmods/Draconis-Qwen3_Math-GGUF
Base model
Qwen/Qwen3-4B-Base
Finetuned
Qwen/Qwen3-4B