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Sponsored by
PoYo.AI
mradermacher / BiMaTE-8B-GGUF
Model's Last Updated: July 09 2025
Introduction of BiMaTE-8B-GGUF
Model Details of BiMaTE-8B-GGUF
About
static quants of https://huggingface.co/luoyingfeng/BiMaTE-8B
weighted/imatrix quants are available at https://huggingface.co/mradermacher/BiMaTE-8B-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 | 3.4 | |
| GGUF | Q3_K_S | 3.9 | |
| GGUF | Q3_K_M | 4.2 | lower quality |
| GGUF | Q3_K_L | 4.5 | |
| GGUF | IQ4_XS | 4.7 | |
| GGUF | Q4_K_S | 4.9 | fast, recommended |
| GGUF | Q4_K_M | 5.1 | fast, recommended |
| GGUF | Q5_K_S | 5.8 | |
| GGUF | Q5_K_M | 6.0 | |
| GGUF | Q6_K | 6.8 | very good quality |
| GGUF | Q8_0 | 8.8 | fast, best quality |
| GGUF | f16 | 16.5 | 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.
Runs of mradermacher BiMaTE-8B-GGUF on huggingface.co
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More Information About BiMaTE-8B-GGUF huggingface.co Model
Url of BiMaTE-8B-GGUF
BiMaTE-8B-GGUF huggingface.co Url
Provider of BiMaTE-8B-GGUF huggingface.co
Other API from mradermacher
Updated:August 20 2026
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