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Osmosis-Apply-1.7B-GGUF
prithivMLmods/Osmosis-Apply-1.7B-GGUF
Osmosis-Apply-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.
Osmosis-Apply-1.7B is a specialized language model finetuned on Qwen3-1.7B designed to perform code merges, similar to the apply feature of modern AI code editors. Given an original code snippet and an edit snippet, t…
All-time downloads
4.4K
Public
Repo size
25.3 GB
Likes
2
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
- Jul 20, 2025
- Updated
- Jul 20, 2025
- SHA
- 3e37a72c
Try a prompt
Base models
Model card
From the Hugging Face model README
Osmosis-Apply-1.7B-GGUF
Osmosis-Apply-1.7B is a specialized language model finetuned on Qwen3-1.7B designed to perform code merges, similar to the apply feature of modern AI code editors. Given an original code snippet and an edit snippet, this model can apply the edit snippet to original code snippet, updating the code snippet with the edit.
Model files
| File | Size | Format |
|---|---|---|
| Osmosis-Apply-1.7B.BF16.gguf | 3.45 GB | BF16 |
| Osmosis-Apply-1.7B.F16.gguf | 3.45 GB | F16 |
| Osmosis-Apply-1.7B.F32.gguf | 6.89 GB | F32 |
| Osmosis-Apply-1.7B.Q2_K.gguf | 778 MB | Q2_K |
| Osmosis-Apply-1.7B.Q3_K_L.gguf | 1 GB | Q3_K_L |
| Osmosis-Apply-1.7B.Q3_K_M.gguf | 940 MB | Q3_K_M |
| Osmosis-Apply-1.7B.Q3_K_S.gguf | 867 MB | Q3_K_S |
| Osmosis-Apply-1.7B.Q4_K_M.gguf | 1.11 GB | Q4_K_M |
| Osmosis-Apply-1.7B.Q4_K_S.gguf | 1.06 GB | Q4_K_S |
| Osmosis-Apply-1.7B.Q5_K_M.gguf | 1.26 GB | Q5_K_M |
| Osmosis-Apply-1.7B.Q5_K_S.gguf | 1.23 GB | Q5_K_S |
| Osmosis-Apply-1.7B.Q6_K.gguf | 1.42 GB | Q6_K |
| Osmosis-Apply-1.7B.Q8_0.gguf | 1.83 GB | Q8_0 |
| .gitattributes | 2.38 kB | - |
| README.md | 428 Bytes | - |
| config.json | 29 Bytes | - |
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
- Created
- Jul 20, 2025
- Updated
- Jul 20, 2025