ModelHub XC 82fa384114 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/Marco-Nano-Base-GGUF
Source: Original Platform
2026-08-10 19:52:21 +08:00

base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags
base_model datasets language library_name license mradermacher quantized_by tags
ATH-MaaS/Marco-Nano-Base
nvidia/Nemotron-CC-v2
nvidia/Nemotron-Pretraining-SFT-v1
nvidia/Nemotron-Pretraining-Specialized-v1
nvidia/Nemotron-CC-v2.1
allenai/dolmino-mix-1124
nvidia/Nemotron-CC-Math-v1
nvidia/OpenMathInstruct-2
HuggingFaceTB/finemath
LLM360/MegaMath
open-thoughts/OpenThoughts3-1.2M
opencsg/Fineweb-Edu-Chinese-V2.1
HuggingFaceFW/fineweb-2
allenai/dolma3_dolmino_mix-100B-1125
en
zh
ar
de
es
fr
ko
ja
pt
tr
id
it
nl
pl
ru
vi
th
he
uk
ms
bn
cs
ur
kk
el
ro
hu
ne
az
transformers apache-2.0
readme_rev
1
mradermacher
moe
mixture-of-experts
multilingual
upcycling

About

static quants of https://huggingface.co/ATH-MaaS/Marco-Nano-Base

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Marco-Nano-Base-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 3.5
GGUF Q3_K_S 4.0
GGUF Q3_K_M 4.4 lower quality
GGUF Q3_K_L 4.5
GGUF IQ4_XS 4.6
GGUF Q4_K_S 5.1 fast, recommended
GGUF Q4_K_M 5.6 fast, recommended
GGUF Q5_K_S 5.9
GGUF Q5_K_M 6.3
GGUF Q6_K 7.4 very good quality
GGUF Q8_0 8.8 fast, best quality
GGUF f16 16.4 16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

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.

Description
Model synced from source: mradermacher/Marco-Nano-Base-GGUF
Readme 27 KiB