ModelHub XC 705eef59f1 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/Marco-Mini-Instruct-GGUF
Source: Original Platform
2026-05-13 10:24:35 +08:00

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-Mini-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
on-policy distillation

About

static quants of https://huggingface.co/AIDC-AI/Marco-Mini-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-Mini-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 6.5
GGUF Q3_K_S 7.6
GGUF Q3_K_M 8.4 lower quality
GGUF Q3_K_L 9.1
GGUF IQ4_XS 9.4
GGUF Q4_K_S 10.0 fast, recommended
GGUF Q4_K_M 10.6 fast, recommended
GGUF Q5_K_S 12.0
GGUF Q5_K_M 12.4
GGUF Q6_K 14.3 very good quality
GGUF Q8_0 18.5 fast, best quality

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-Mini-Instruct-GGUF
Readme 27 KiB