Top models by downloads
gte-large-en-v1.5
AAlibaba-NLP
sentence similarity · transformers · en
gte-reranker-modernbert-base
AAlibaba-NLP
text ranking · transformers · Base model: answerdotai/ModernBERT-base · en
gte-multilingual-base
AAlibaba-NLP
sentence similarity · sentence-transformers · af, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, es, et, eu, fa, fi, fr, gl, gu, he, hi, hr, ht, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ky, lo, lt, lv, mk, ml, mn, mr, ms, my, ne, nl, no, pa, pl, pt, qu, ro, ru, si, sk, sl, so, sq, sr, sv, sw, ta, te, th, tl, tr, uk, ur, vi, yo, zh
gte-base-en-v1.5
AAlibaba-NLP
sentence similarity · transformers · en
gte-Qwen2-1.5B-instruct
AAlibaba-NLP
sentence similarity · sentence-transformers
gte-modernbert-base
AAlibaba-NLP
sentence similarity · transformers · Base model: answerdotai/ModernBERT-base · en
gte-multilingual-reranker-base
AAlibaba-NLP
text ranking · sentence-transformers · af, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, es, et, eu, fa, fi, fr, gl, gu, he, hi, hr, ht, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ky, lo, lt, lv, mk, ml, mn, mr, ms, my, ne, nl, no, pa, pl, pt, qu, ro, ru, si, sk, sl, so, sq, sr, sv, sw, ta, te, th, tl, tr, uk, ur, vi, yo, zh
gte-Qwen2-7B-instruct
AAlibaba-NLP
sentence similarity · sentence-transformers
WebSailor-32B
AAlibaba-NLP
Tongyi-DeepResearch-30B-A3B
AAlibaba-NLP
text generation · transformers · en
gme-Qwen2-VL-2B-Instruct
AAlibaba-NLP
sentence similarity · sentence-transformers · Base model: Qwen/Qwen2-VL-2B-Instruct · en, zh
gme-Qwen2-VL-7B-Instruct
AAlibaba-NLP
sentence similarity · sentence-transformers · Base model: Qwen/Qwen2-VL-7B-Instruct · en, zh
WebDancer-32B
AAlibaba-NLP
text generation · transformers · Base model: Qwen/QwQ-32B
ERank-4B
AAlibaba-NLP
ZeroSearch_google_V1_Qwen2.5_7B_Instruct
AAlibaba-NLP
ERank-14B
AAlibaba-NLP
gte-en-mlm-base
AAlibaba-NLP
fill mask · en
gte-multilingual-mlm-base
AAlibaba-NLP
fill mask · af, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, es, et, eu, fa, fi, fr, gl, gu, he, hi, hr, ht, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ky, lo, lt, lv, mk, ml, mn, mr, ms, my, ne, nl, no, pa, pl, pt, qu, ro, ru, si, sk, sl, so, sq, sr, sv, sw, ta, te, th, tl, tr, uk, ur, vi, yo, zh
gte-en-mlm-large
AAlibaba-NLP
fill mask · en
E2Rank-8B
AAlibaba-NLP
feature extraction · transformers · Base model: Qwen/Qwen3-8B
LaSER-Qwen3-0.6B
AAlibaba-NLP
feature extraction · transformers · Base model: Qwen/Qwen3-0.6B · en
UEmbed-4B
AAlibaba-NLP
feature extraction · transformers
UEmbed-2B
AAlibaba-NLP
feature extraction · transformers
UEmbed-9B
AAlibaba-NLP
feature extraction · transformers
E2Rank-0.6B
AAlibaba-NLP
feature extraction · transformers · Base model: Qwen/Qwen3-0.6B
GVE-3B
AAlibaba-NLP
sentence similarity · transformers · Base model: Qwen/Qwen2.5-VL-3B-Instruct · en
GVE-7B
AAlibaba-NLP
sentence similarity · transformers · Base model: Qwen/Qwen2.5-VL-7B-Instruct · en
core-reranker-2b
AAlibaba-NLP
feature extraction · transformers
WebSailor-7B
AAlibaba-NLP
LaSER-Qwen3-8B
AAlibaba-NLP
feature extraction · transformers · Base model: Qwen/Qwen3-8B · en