Hugging Face model: mradermacher/Marco-Mini-Global-Base-GGUF
Author: mradermacher
Created: 2026-04-03 19:13:49
Last modified: 2026-07-26 07:08:57
Library: transformers
Likes: 1 | Downloads: 341
Tags: transformers, gguf, moe, mixture-of-experts, multilingual, upcycling, 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, da, sv, no, ca, gl, cy, ga, eu, hr, lv, lt, sk, sl, et, fi, sr, bg, fa, mt, hi, mr, gu, pa, ta, te, tl, jv, km, lo, my, am, sw, yo, ig, zu, dataset:nvidia/Nemotron-CC-v2, dataset:nvidia/Nemotron-Pretraining-SFT-v1, dataset:nvidia/Nemotron-Pretraining-Specialized-v1, dataset:nvidia/Nemotron-CC-v2.1, dataset:allenai/dolmino-mix-1124, dataset:nvidia/Nemotron-CC-Math-v1, dataset:nvidia/OpenMathInstruct-2, dataset:HuggingFaceTB/finemath, dataset:LLM360/MegaMath, dataset:open-thoughts/OpenThoughts3-1.2M, dataset:opencsg/Fineweb-Edu-Chinese-V2.1, dataset:HuggingFaceFW/fineweb-2, dataset:allenai/dolma3_dolmino_mix-100B-1125, base_model:ATH-MaaS/Marco-Mini-Global-Base, base_model:quantized:ATH-MaaS/Marco-Mini-Global-Base, license:apache-2.0, endpoints_compatible, region:us, conversational
Base model relation: quantized
Base models: id: ATH-MaaS/Marco-Mini-Global-Base
Card metadata:
base_model: ATH-MaaS/Marco-Mini-Global-Base
datasets: 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
language: 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, da, sv, no, ca, gl, cy, ga, eu, hr, lv, lt, sk, sl, et, fi, sr, bg, fa, mt, hi, mr, gu, pa, ta, te, tl, jv, km, lo, my, am, sw, yo, ig, zu
library_name: transformers
license: apache-2.0
mradermacher: readme_rev: 1
quantized_by: mradermacher
tags: moe, mixture-of-experts, multilingual, upcycling