Downloads · 30 days
221
11% of all-time downloads
prithivMLmods/Panacea-MegaScience-Qwen3-1.7B-GGUF
Panacea-MegaScience-Qwen3-1.7B-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.
Panacea-MegaScience-Qwen3-1.7B is a high-efficiency, multi-domain model fine-tuned on Qwen3-1.7B using the MegaScience/MegaScience dataset. MegaScience exhibits greater effectiveness for larger and stronger models, su…
Downloads · 30 days
221
11% of all-time downloads
All-time downloads
2K
Public
Repo size
25.3 GB
Likes
0
Public
Click a slice to open those files.
.gguf25.3 GB · 100%
From the Hugging Face model README
Panacea-MegaScience-Qwen3-1.7B is a high-efficiency, multi-domain model fine-tuned on Qwen3-1.7B using the MegaScience/MegaScience dataset. MegaScience exhibits greater effectiveness for larger and stronger models, suggesting a scaling benefit for scientific instruction tuning. 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.
| File Name | Quant Type | File Size |
|---|---|---|
| Panacea-MegaScience-Qwen3-1.7B.BF16.gguf | BF16 | 3.45 GB |
| Panacea-MegaScience-Qwen3-1.7B.F16.gguf | F16 | 3.45 GB |
| Panacea-MegaScience-Qwen3-1.7B.F32.gguf | F32 | 6.89 GB |
| Panacea-MegaScience-Qwen3-1.7B.Q2_K.gguf | Q2_K | 778 MB |
| Panacea-MegaScience-Qwen3-1.7B.Q3_K_L.gguf | Q3_K_L | 1 GB |
| Panacea-MegaScience-Qwen3-1.7B.Q3_K_M.gguf | Q3_K_M | 940 MB |
| Panacea-MegaScience-Qwen3-1.7B.Q3_K_S.gguf | Q3_K_S | 867 MB |
| Panacea-MegaScience-Qwen3-1.7B.Q4_K_M.gguf | Q4_K_M | 1.11 GB |
| Panacea-MegaScience-Qwen3-1.7B.Q4_K_S.gguf | Q4_K_S | 1.06 GB |
| Panacea-MegaScience-Qwen3-1.7B.Q5_K_M.gguf | Q5_K_M | 1.26 GB |
| Panacea-MegaScience-Qwen3-1.7B.Q5_K_S.gguf | Q5_K_S | 1.23 GB |
| Panacea-MegaScience-Qwen3-1.7B.Q6_K.gguf | Q6_K | 1.42 GB |
| Panacea-MegaScience-Qwen3-1.7B.Q8_0.gguf | Q8_0 | 1.83 GB |
(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):
