mradermacher/Zenith-3B-GGUF

🤗 Hugging Face 来源mit激活 3B28 GBGGUF✓ 12 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo mradermacher/Zenith-3B-GGUF ./model-folder
需要做种者 →

About

static quants of https://huggingface.co/alden4445/Zenith-3B

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 Q2_K 1.4
GGUF Q3_K_S 1.6
GGUF Q3_K_M 1.7 lower quality
GGUF Q3_K_L 1.8
GGUF IQ4_XS 1.9
GGUF Q4_K_S 1.9 fast, recommended
GGUF Q4_K_M 2.0 fast, recommended
GGUF Q5_K_S 2.3
GGUF Q5_K_M 2.3
GGUF Q6_K 2.6 very good quality
GGUF Q8_0 3.4 fast, best quality
GGUF f16 6.3 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.