Files
Marco-Nano-Instruct-GGUF/README.md
ModelHub XC 73e44457fb 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/Marco-Nano-Instruct-GGUF
Source: Original Platform
2026-04-14 01:35:04 +08:00

4.1 KiB

base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags
base_model datasets language library_name license mradermacher quantized_by tags
AIDC-AI/Marco-Nano-Instruct
allenai/Dolci-Instruct-SFT
nvidia/Nemotron-Cascade-2-SFT-Data
nvidia/Nemotron-RL-instruction_following
nvidia/Nemotron-RL-instruction_following-structured_outputs
nvidia/Nemotron-RL-ReasoningGym-v1
nvidia/Nemotron-RL-knowledge-mcqa
nvidia/Nemotron-Cascade-RL-RLHF
BytedTsinghua-SIA/DAPO-Math-17k
Skywork/Skywork-OR1-RL-Data
nvidia/Nemotron-SFT-Multilingual-v1
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/AIDC-AI/Marco-Nano-Instruct

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-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 3.4
GGUF Q3_K_S 4.0
GGUF Q3_K_M 4.3 lower quality
GGUF Q3_K_L 4.5
GGUF IQ4_XS 4.6
GGUF Q4_K_S 5.0 fast, recommended
GGUF Q4_K_M 5.5 fast, recommended
GGUF Q5_K_S 5.8
GGUF Q5_K_M 6.2
GGUF Q6_K 7.3 very good quality
GGUF Q8_0 8.6 fast, best quality
GGUF f16 16.1 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.