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Open-weight model

Lingdan-4B-Base-GGUF

by Team Mradermacher mradermacher/Lingdan-4B-Base-GGUF

Lingdan-4B-Base-GGUF is an open-weight model from Team Mradermacher, released under Apache License 2.0. Its published files total 39.7 GB.

static quants of https://huggingface.co/TCMLLM/Lingdan-4B-Base 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.

Parameters—
Context—
Weights39.7 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Team Mradermacher, published under apache-2.0, revision 88c6d472176e.

static quants of https://huggingface.co/TCMLLM/Lingdan-4B-Base 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. 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. (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 And…

Read Team Mradermacher's full model card

About

static quants of https://huggingface.co/TCMLLM/Lingdan-4B-Base

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 1.9
GGUF Q3_K_S 2.2
GGUF Q3_K_M 2.3 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 3.2
GGUF Q5_K_M 3.3
GGUF Q6_K 3.7 very good quality
GGUF Q8_0 4.8 fast, best quality
GGUF f16 8.9 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.

Identity and Version

Repository
mradermacher/Lingdan-4B-Base-GGUF
Publisher
Team Mradermacher
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
zh
Revision
88c6d472176e6389d8d8fe5cb5f37bbf9c9dda45
First published
2026-10-11
Last updated
2026-10-11

Files and Weights

14 files, 39.7 GB in total. The weights are 12 files totalling 39.7 GB in gguf.

Weights12 files · 39.7 GB
Documentation1 file · 3.7 KB
Repository1 file · 2.3 KB
Every file
FileTypeSizeSHA-256
Lingdan-4B-Base.IQ4_XS.ggufWeights2.5 GB 3ab5dc19c150
Lingdan-4B-Base.Q2_K.ggufWeights1.8 GB 714e2c883629
Lingdan-4B-Base.Q3_K_L.ggufWeights2.4 GB 46fcb448ac2d
Lingdan-4B-Base.Q3_K_M.ggufWeights2.2 GB 034a5c0d8d7f
Lingdan-4B-Base.Q3_K_S.ggufWeights2.1 GB db8259411815
Lingdan-4B-Base.Q4_K_M.ggufWeights2.7 GB 74d106eb4dde
Lingdan-4B-Base.Q4_K_S.ggufWeights2.6 GB 697e8d051ed5
Lingdan-4B-Base.Q5_K_M.ggufWeights3.2 GB 98225c23672e
Lingdan-4B-Base.Q5_K_S.ggufWeights3.1 GB 8c3a9e4d8ab3
Lingdan-4B-Base.Q6_K.ggufWeights3.6 GB 371a2fcbca60
Lingdan-4B-Base.Q8_0.ggufWeights4.7 GB 6ca03532b27a
Lingdan-4B-Base.f16.ggufWeights8.8 GB b5d869b84071
README.mdDocumentation3.7 KB —
.gitattributesRepository2.3 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
39.7 GB
Download from Team Mradermacher

Released by Team Mradermacher through its official repository on Hugging Face. Read the license.

Built From

  • Derived from TCMLLM/Lingdan-4B-Base
  • Quantized from TCMLLM/Lingdan-4B-Base

Memory Requirements

PrecisionWeights in memory
As published39.7 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Lingdan-4B-Base-GGUF

Can I use Lingdan-4B-Base-GGUF commercially?

Yes. Lingdan-4B-Base-GGUF is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.