Total runs:
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Run Growth:
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Growth Rate:
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Sponsored by
AdsCreator.com
nicoboss / PLM-1.8B-Instruct-non-MLA-GGUF
Model's Last Updated: July 27 2025
Introduction of PLM-1.8B-Instruct-non-MLA-GGUF
Model Details of PLM-1.8B-Instruct-non-MLA-GGUF
About
static quants of https://huggingface.co/PLM-Team/PLM-1.8B-Instruct
weighted/imatrix quants are available at https://huggingface.co/mradermacher/PLM-1.8B-Instruct-i1-GGUF
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 | Q2_K | 0.9 | |
| GGUF | Q3_K_S | 1.0 | |
| GGUF | Q3_K_M | 1.1 | lower quality |
| GGUF | IQ4_XS | 1.2 | |
| GGUF | Q3_K_L | 1.2 | |
| GGUF | Q4_K_S | 1.2 | fast, recommended |
| GGUF | Q4_K_M | 1.3 | fast, recommended |
| GGUF | Q5_K_S | 1.4 | |
| GGUF | Q5_K_M | 1.4 | |
| GGUF | Q6_K | 1.6 | very good quality |
| GGUF | Q8_0 | 2.0 | fast, best quality |
| GGUF | f16 | 3.8 | 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.
Runs of nicoboss PLM-1.8B-Instruct-non-MLA-GGUF on huggingface.co
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More Information About PLM-1.8B-Instruct-non-MLA-GGUF huggingface.co Model
Url of PLM-1.8B-Instruct-non-MLA-GGUF
PLM-1.8B-Instruct-non-MLA-GGUF huggingface.co Url
Provider of PLM-1.8B-Instruct-non-MLA-GGUF huggingface.co
Other API from nicoboss
Updated:July 27 2025
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