mradermacher/OneJev1.6-4B-GGUF
apache-2.0 16/16 files local @ 2b605ac93b0f
HF_ENDPOINT=https://huffingface.co \
python -c "from huggingface_hub import snapshot_download; snapshot_download('mradermacher/OneJev1.6-4B-GGUF')"Model card
About
static quants of https://huggingface.co/OmniJev/OneJev1.6-4B
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | mmproj-Q8_0 | 0.5 | multi-modal supplement |
| GGUF | mmproj-f16 | 0.8 | multi-modal supplement |
| GGUF | Q2_K | 2.0 | |
| GGUF | Q3_K_S | 2.2 | |
| GGUF | Q3_K_M | 2.4 | lower quality |
| GGUF | Q3_K_L | 2.5 | |
| GGUF | IQ4_XS | 2.6 | |
| GGUF | Q4_K_S | 2.7 | fast, recommended |
| GGUF | Q4_K_M | 2.8 | fast, recommended |
| GGUF | Q5_K_S | 3.1 | |
| GGUF | Q5_K_M | 3.2 | |
| GGUF | Q6_K | 3.6 | very good quality |
| GGUF | Q8_0 | 4.6 | fast, best quality |
| GGUF | f16 | 8.5 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.
Files
| File | Size | Status |
|---|---|---|
| .gitattributes | 2 kB | huffed |
| OneJev1.6-4B.IQ4_XS.gguf | 2.5 GB | huffed |
| OneJev1.6-4B.Q2_K.gguf | 1.9 GB | huffed |
| OneJev1.6-4B.Q3_K_L.gguf | 2.4 GB | huffed |
| OneJev1.6-4B.Q3_K_M.gguf | 2.3 GB | huffed |
| OneJev1.6-4B.Q3_K_S.gguf | 2.1 GB | huffed |
| OneJev1.6-4B.Q4_K_M.gguf | 2.7 GB | huffed |
| OneJev1.6-4B.Q4_K_S.gguf | 2.6 GB | huffed |
| OneJev1.6-4B.Q5_K_M.gguf | 3.1 GB | huffed |
| OneJev1.6-4B.Q5_K_S.gguf | 3.0 GB | huffed |
| OneJev1.6-4B.Q6_K.gguf | 3.5 GB | huffed |
| OneJev1.6-4B.Q8_0.gguf | 4.5 GB | huffed |
| OneJev1.6-4B.f16.gguf | 8.4 GB | huffed |
| OneJev1.6-4B.mmproj-Q8_0.gguf | 366.9 MB | huffed |
| OneJev1.6-4B.mmproj-f16.gguf | 672.4 MB | huffed |
| README.md | 4 kB | huffed |