deepghs/timms_index

Index for timm models of different size levels

1089 models in total.

For each level, only the top-30 most popular pretrained weight of each architecture will be listed here.

0 - nano

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
test_efficientnet.r160_in1k	test_efficientnet	358.7K	160	46.42%	70.96%	1000	256	1259	0
test_byobnet.r160_in1k	test_byobnet	459.2K	160	45.40%	70.61%	1000	256	926	1
test_vit.r160_in1k	test_vit	371.2K	160	40.83%	67.21%	1000	64	896	0

1 - tiny

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
mobilevitv2_075.cvnets_in1k	mobilevitv2_075	2.9M	256	75.60%	92.75%	1000	384	6112	0
mobilevit_xs.cvnets_in1k	mobilevit_xs	2.3M	256	74.63%	92.35%	1000	384	3136	0
edgenext_x_small.in1k	edgenext_x_small	2.3M	256	74.88%	92.30%	1000	192	260	1
semnasnet_075.rmsp_in1k	semnasnet_075	2.9M	224	73.01%	91.13%	1000	1280	382	0
lcnet_100.ra2_in1k	lcnet_100	3.0M	224	72.13%	90.37%	1000	1280	653	0
edgenext_xx_small.in1k	edgenext_xx_small	1.3M	256	71.12%	90.04%	1000	168	956	2
mobilevitv2_050.cvnets_in1k	mobilevitv2_050	1.4M	256	70.16%	89.94%	1000	256	6802	1
tinynet_c.in1k	tinynet_c	2.5M	184	71.22%	89.75%	1000	1280	234	0
mobilevit_xxs.cvnets_in1k	mobilevit_xxs	1.3M	256	68.93%	88.94%	1000	320	14344	1
regnetx_002.pycls_in1k	regnetx_002	2.7M	224	68.76%	88.56%	1000	368	3318	0
dla60x_c.in1k	dla60x_c	1.3M	224	67.93%	88.43%	1000	256	206	0
lcnet_075.ra2_in1k	lcnet_075	2.4M	224	68.78%	88.39%	1000	1280	256	0
repghostnet_058.in1k	repghostnet_058	2.6M	224	68.93%	88.39%	1000	1280	99	0
mobilenetv3_small_100.lamb_in1k	mobilenetv3_small_100	2.6M	224	67.64%	87.65%	1000	1024	138668605	22
tinynet_d.in1k	tinynet_d	2.4M	152	66.97%	87.06%	1000	1280	388	0
dla46x_c.in1k	dla46x_c	1.1M	224	66.01%	86.95%	1000	256	328	0
repghostnet_050.in1k	repghostnet_050	2.3M	224	66.98%	86.94%	1000	1280	272	0
mnasnet_small.lamb_in1k	mnasnet_small	2.0M	224	66.20%	86.47%	1000	1280	299	0
dla46_c.in1k	dla46_c	1.3M	224	64.88%	86.33%	1000	256	221	0
mobilenetv2_050.lamb_in1k	mobilenetv2_050	2.0M	224	65.93%	86.10%	1000	1280	4719	2
mobilenetv3_small_075.lamb_in1k	mobilenetv3_small_075	2.1M	224	65.27%	85.47%	1000	1024	6796	1
efficientvit_m0.r224_in1k	efficientvit_m0	2.4M	224	63.29%	85.15%	1000	192	515	0
lcnet_050.ra2_in1k	lcnet_050	1.9M	224	63.13%	84.40%	1000	1280	20053	0
tinynet_e.in1k	tinynet_e	2.1M	106	59.87%	81.77%	1000	1280	464245	0
mobilenetv3_small_050.lamb_in1k	mobilenetv3_small_050	1.6M	224	57.92%	80.14%	1000	1024	7996	0

2 - small

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
mobilevitv2_100.cvnets_in1k	mobilevitv2_100	4.9M	256	78.09%	94.17%	1000	512	2157	1
xcit_nano_12_p8_384.fb_dist_in1k	xcit_nano_12_p8_384	3.1M	384	77.82%	94.03%	1000	128	177	0
rexnet_100.nav_in1k	rexnet_100	4.8M	224	77.85%	93.88%	1000	1280	19859	0
fastvit_t8.apple_dist_in1k	fastvit_t8	4.1M	256	77.17%	93.27%	1000	768	37412	0
xcit_nano_12_p8_224.fb_dist_in1k	xcit_nano_12_p8_224	3.1M	224	76.33%	93.07%	1000	128	132	1
convnextv2_atto.fcmae_ft_in1k	convnextv2_atto	3.7M	224	76.65%	93.04%	1000	320	7155	0
convnext_atto.d2_in1k	convnext_atto	3.7M	224	75.67%	92.91%	1000	320	8260	0
efficientformerv2_s0.snap_dist_in1k	efficientformerv2_s0	3.6M	224	76.12%	92.85%	1000	176	749	1
convnext_atto_ols.a2_in1k	convnext_atto_ols	3.7M	224	75.90%	92.84%	1000	320	10217	0
mixnet_s.ft_in1k	mixnet_s	4.2M	224	76.00%	92.80%	1000	1536	3343	0
mobileone_s1.apple_in1k	mobileone_s1	4.9M	224	75.77%	92.79%	1000	1280	573	0
regnety_004.tv2_in1k	regnety_004	4.4M	224	75.59%	92.70%	1000	440	413	0
xcit_nano_12_p16_384.fb_dist_in1k	xcit_nano_12_p16_384	3.1M	384	75.47%	92.67%	1000	128	271	0
semnasnet_100.rmsp_in1k	semnasnet_100	3.9M	224	75.46%	92.61%	1000	1280	303	0
efficientnet_lite0.ra_in1k	efficientnet_lite0	4.7M	224	75.49%	92.51%	1000	1280	12932	0
mobilenetv1_100.ra4_e3600_r224_in1k	mobilenetv1_100	4.3M	224	75.38%	92.31%	1000	1024	1602	2
tinynet_b.in1k	tinynet_b	3.8M	188	74.97%	92.20%	1000	1280	333	0
mobilenetv2_110d.ra_in1k	mobilenetv2_110d	4.6M	224	75.05%	92.19%	1000	1280	628	0
repghostnet_111.in1k	repghostnet_111	4.6M	224	75.07%	92.18%	1000	1280	105	0
mnasnet_100.rmsp_in1k	mnasnet_100	4.4M	224	74.66%	92.11%	1000	1280	23684	0
spnasnet_100.rmsp_in1k	spnasnet_100	4.5M	224	74.08%	91.83%	1000	1280	19260	0
repghostnet_100.in1k	repghostnet_100	4.1M	224	74.20%	91.55%	1000	1280	178	0
mobilenetv4_conv_small.e2400_r224_in1k	mobilenetv4_conv_small	3.8M	224	73.73%	91.43%	1000	960	6077	9
pit_ti_224.in1k	pit_ti_224	4.8M	224	72.92%	91.41%	1000	256	530	0
mobilenetv2_100.ra_in1k	mobilenetv2_100	3.5M	224	72.94%	91.00%	1000	1280	49189	4
xcit_nano_12_p16_224.fb_dist_in1k	xcit_nano_12_p16_224	3.1M	224	72.32%	90.83%	1000	128	129	0
repghostnet_080.in1k	repghostnet_080	3.3M	224	72.24%	90.49%	1000	1280	313	0
pvt_v2_b0.in1k	pvt_v2_b0	3.7M	224	70.66%	90.21%	1000	256	3454	1
efficientvit_m2.r224_in1k	efficientvit_m2	4.2M	224	70.80%	90.16%	1000	224	270	0
regnety_002.pycls_in1k	regnety_002	3.2M	224	70.29%	89.53%	1000	368	23390	1

3 - compact

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
xcit_tiny_12_p8_384.fb_dist_in1k	xcit_tiny_12_p8_384	6.7M	384	82.39%	96.21%	1000	192	337	0
tiny_vit_5m_224.dist_in22k_ft_in1k	tiny_vit_5m_224	5.4M	224	80.86%	95.67%	1000	320	2878	1
xcit_tiny_12_p8_224.fb_dist_in1k	xcit_tiny_12_p8_224	6.7M	224	81.21%	95.62%	1000	192	104	0
repvit_m1_1.dist_450e_in1k	repvit_m1_1	8.9M	224	81.30%	95.57%	1000	512	92	0
eva02_tiny_patch14_336.mim_in22k_ft_in1k	eva02_tiny_patch14_336	5.8M	336	80.67%	95.53%	1000	192	1100	2
xcit_tiny_12_p16_384.fb_dist_in1k	xcit_tiny_12_p16_384	6.7M	384	80.95%	95.43%	1000	192	190	0
edgenext_small.usi_in1k	edgenext_small	5.6M	256	81.06%	95.33%	1000	304	511092	4
fastvit_s12.apple_dist_in1k	fastvit_s12	9.5M	256	81.07%	95.28%	1000	1024	107	2
efficientnet_b3_pruned.in1k	efficientnet_b3_pruned	9.9M	300	80.87%	95.27%	1000	1536	178	0
maxvit_rmlp_pico_rw_256.sw_in1k	maxvit_rmlp_pico_rw_256	7.5M	256	80.55%	95.19%	1000	256	198	0
mobilenetv4_conv_medium.e500_r256_in1k	mobilenetv4_conv_medium	9.8M	256	79.92%	95.19%	1000	960	3592	1
repvit_m2.dist_in1k	repvit_m2	8.9M	224	80.47%	95.17%	1000	512	248	0
rexnet_150.nav_in1k	rexnet_150	9.8M	224	80.31%	95.17%	1000	1920	3179	0
efficientnet_b1.ra4_e3600_r240_in1k	efficientnet_b1	7.9M	240	80.40%	95.15%	1000	1280	10246	0
convnextv2_pico.fcmae_ft_in1k	convnextv2_pico	9.1M	224	80.30%	95.08%	1000	512	5964	0
fastvit_t12.apple_dist_in1k	fastvit_t12	7.6M	256	80.36%	95.04%	1000	1024	66	0
mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	mobilenet_edgetpu_v2_m	8.5M	224	80.13%	95.00%	1000	1344	474	0
regnetz_b16.ra3_in1k	regnetz_b16	9.8M	224	79.87%	94.98%	1000	1536	296	1
efficientvit_b1.r288_in1k	efficientvit_b1	9.1M	288	80.31%	94.98%	1000	256	809	0
repvit_m1_0.dist_450e_in1k	repvit_m1_0	7.4M	224	80.45%	94.92%	1000	448	513	0
mobilenetv4_conv_blur_medium.e500_r224_in1k	mobilenetv4_conv_blur_medium	9.8M	224	79.45%	94.92%	1000	960	744	1
mobilevitv2_125.cvnets_in1k	mobilevitv2_125	7.5M	256	79.68%	94.84%	1000	640	732	0
efficientnet_b2_pruned.in1k	efficientnet_b2_pruned	8.4M	260	79.91%	94.84%	1000	1408	1091	0
efficientnet_em.ra2_in1k	efficientnet_em	7.0M	240	79.26%	94.80%	1000	1280	261	0
regnetx_016.tv2_in1k	regnetx_016	9.2M	224	79.45%	94.77%	1000	912	787	0
convnext_pico_ols.d1_in1k	convnext_pico_ols	9.1M	224	79.54%	94.71%	1000	512	2168	0
efficientformerv2_s1.snap_dist_in1k	efficientformerv2_s1	6.3M	224	79.68%	94.69%	1000	224	315	1
rexnet_130.nav_in1k	rexnet_130	7.6M	224	79.49%	94.68%	1000	1664	193	0
efficientnet_b2.ra_in1k	efficientnet_b2	9.2M	256	79.34%	94.58%	1000	1408	13208	0
convnext_pico.d1_in1k	convnext_pico	9.0M	224	79.52%	94.55%	1000	512	7473	0

4 - medium

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
tiny_vit_21m_512.dist_in22k_ft_in1k	tiny_vit_21m_512	21.3M	512	86.45%	97.88%	1000	576	3490	2
tiny_vit_21m_384.dist_in22k_ft_in1k	tiny_vit_21m_384	21.2M	384	86.09%	97.71%	1000	576	10762	3
eva02_small_patch14_336.mim_in22k_ft_in1k	eva02_small_patch14_336	22.1M	336	85.76%	97.61%	1000	384	4963	3
deit3_small_patch16_384.fb_in22k_ft_in1k	deit3_small_patch16_384	22.2M	384	84.84%	97.48%	1000	384	3067	0
tiny_vit_21m_224.dist_in22k_ft_in1k	tiny_vit_21m_224	21.2M	224	85.09%	97.36%	1000	576	2294	0
vit_small_patch16_384.augreg_in21k_ft_in1k	vit_small_patch16_384	22.2M	384	83.80%	97.11%	1000	384	3639	2
vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	vit_little_patch16_reg1_gap_256	22.5M	256	83.80%	96.96%	1000	320	134	0
hgnet_small.ssld_in1k	hgnet_small	24.4M	224	83.81%	96.87%	1000	1024	234	0
edgenext_base.in21k_ft_in1k	edgenext_base	18.5M	256	83.42%	96.80%	1000	584	154	0
hgnetv2_b4.ssld_stage2_ft_in1k	hgnetv2_b4	19.8M	224	83.69%	96.79%	1000	2048	5919	0
deit3_small_patch16_224.fb_in22k_ft_in1k	deit3_small_patch16_224	22.1M	224	83.08%	96.78%	1000	384	2315	0
regnetz_d8.ra3_in1k	regnetz_d8	23.5M	256	83.55%	96.75%	1000	1792	352	1
convnextv2_nano.fcmae_ft_in22k_in1k_384	convnextv2_nano	15.6M	384	83.36%	96.74%	1000	640	2102	0
xcit_tiny_24_p8_384.fb_dist_in1k	xcit_tiny_24_p8_384	12.1M	384	83.78%	96.72%	1000	192	221	0
regnetz_d8_evos.ch_in1k	regnetz_d8_evos	23.5M	256	83.39%	96.66%	1000	1792	199	1
repvit_m2_3.dist_450e_in1k	repvit_m2_3	23.8M	224	83.74%	96.64%	1000	640	126	0
tiny_vit_11m_224.dist_in22k_ft_in1k	tiny_vit_11m_224	11.0M	224	83.23%	96.63%	1000	448	490	0
fastvit_sa24.apple_dist_in1k	fastvit_sa24	21.6M	256	83.36%	96.58%	1000	1024	1143	0
mobilevitv2_200.cvnets_in22k_ft_in1k_384	mobilevitv2_200	18.5M	384	83.41%	96.57%	1000	1024	2765	0
mobilenetv4_hybrid_medium.ix_e550_r384_in1k	mobilenetv4_hybrid_medium	11.2M	384	82.96%	96.47%	1000	960	1060	4
mobilevitv2_175.cvnets_in22k_ft_in1k_384	mobilevitv2_175	14.3M	384	82.93%	96.45%	1000	896	274	0
rexnetr_200.sw_in12k_ft_in1k	rexnetr_200	16.6M	224	82.61%	96.39%	1000	2560	220	0
hgnetv2_b3.ssld_stage2_ft_in1k	hgnetv2_b3	16.3M	224	82.91%	96.36%	1000	2048	349	0
maxxvit_rmlp_nano_rw_256.sw_in1k	maxxvit_rmlp_nano_rw_256	16.8M	256	83.03%	96.34%	1000	512	230	0
convnext_nano.in12k_ft_in1k	convnext_nano	15.6M	224	82.31%	96.34%	1000	640	13058	0
maxxvitv2_nano_rw_256.sw_in1k	maxxvitv2_nano_rw_256	23.7M	256	83.10%	96.33%	1000	768	148	0
efficientnetv2_rw_s.ra2_in1k	efficientnetv2_rw_s	24.1M	288	82.89%	96.33%	1000	1792	25905	1
mobilevitv2_150.cvnets_in22k_ft_in1k_384	mobilevitv2_150	10.6M	384	82.61%	96.31%	1000	768	474	0
efficientvit_b2.r288_in1k	efficientvit_b2	24.4M	288	83.08%	96.30%	1000	384	1096	0
maxvit_rmlp_nano_rw_256.sw_in1k	maxvit_rmlp_nano_rw_256	15.5M	256	82.98%	96.27%	1000	512	120	0

5 - large

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
caformer_s36.sail_in22k_ft_in1k_384	caformer_s36	39.3M	384	86.86%	98.22%	1000	512	986	1
nextvit_base.bd_ssld_6m_in1k_384	nextvit_base	44.9M	384	86.36%	98.04%	1000	1024	24	3
convformer_s36.sail_in22k_ft_in1k_384	convformer_s36	40.0M	384	86.38%	97.98%	1000	512	71	0
nextvit_small.bd_ssld_6m_in1k_384	nextvit_small	31.8M	384	85.96%	97.90%	1000	1024	136	2
efficientnet_b5.sw_in12k_ft_in1k	efficientnet_b5	30.6M	448	85.89%	97.74%	1000	2048	38814	2
caformer_s18.sail_in22k_ft_in1k_384	caformer_s18	26.3M	384	85.42%	97.71%	1000	512	721	0
vit_medium_patch16_gap_384.sw_in12k_ft_in1k	vit_medium_patch16_gap_384	39.0M	384	85.55%	97.64%	1000	512	482	0
convnext_tiny.in12k_ft_in1k_384	convnext_tiny	28.6M	384	85.15%	97.63%	1000	768	2440	0
convnextv2_tiny.fcmae_ft_in22k_in1k_384	convnextv2_tiny	28.6M	384	85.11%	97.63%	1000	768	9443	2
maxvit_tiny_tf_512.in1k	maxvit_tiny_tf_512	31.1M	512	85.66%	97.59%	1000	512	6942	0
convformer_s18.sail_in22k_ft_in1k_384	convformer_s18	26.8M	384	85.03%	97.58%	1000	512	123	0
xcit_small_24_p8_384.fb_dist_in1k	xcit_small_24_p8_384	47.7M	384	85.58%	97.57%	1000	384	147	0
vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	vit_medium_patch16_reg4_gap_256	38.9M	256	84.94%	97.39%	1000	512	1416	2
maxvit_tiny_tf_384.in1k	maxvit_tiny_tf_384	31.0M	384	85.10%	97.38%	1000	512	664	0
coat_lite_medium_384.in1k	coat_lite_medium_384	44.6M	384	84.89%	97.38%	1000	512	217	0
cait_s24_384.fb_dist_in1k	cait_s24_384	47.1M	384	85.04%	97.35%	1000	384	179	0
xcit_small_24_p16_384.fb_dist_in1k	xcit_small_24_p16_384	47.7M	384	85.10%	97.32%	1000	384	99	0
vit_small_r26_s32_384.augreg_in21k_ft_in1k	vit_small_r26_s32_384	36.5M	384	84.07%	97.31%	1000	384	4192	1
hgnetv2_b5.ssld_stage2_ft_in1k	hgnetv2_b5	39.7M	224	84.81%	97.30%	1000	2048	393	1
xcit_small_12_p8_384.fb_dist_in1k	xcit_small_12_p8_384	26.2M	384	85.07%	97.26%	1000	384	172	0
hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k	hiera_small_abswin_256	34.4M	256	84.90%	97.25%	1000	768	141	0
volo_d1_384.sail_in1k	volo_d1_384	26.8M	384	85.27%	97.22%	1000	384	308	0
vit_medium_patch16_gap_256.sw_in12k_ft_in1k	vit_medium_patch16_gap_256	38.9M	256	84.45%	97.22%	1000	512	232	0
xcit_small_24_p8_224.fb_dist_in1k	xcit_small_24_p8_224	47.7M	224	84.88%	97.20%	1000	384	89	0
deit3_medium_patch16_224.fb_in22k_ft_in1k	deit3_medium_patch16_224	38.8M	224	84.57%	97.18%	1000	512	333	0
xcit_small_12_p16_384.fb_dist_in1k	xcit_small_12_p16_384	26.3M	384	84.74%	97.14%	1000	384	150	0
mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	mobilenetv4_conv_aa_large	32.7M	448	84.67%	97.11%	1000	960	6684	2
fastvit_ma36.apple_dist_in1k	fastvit_ma36	44.2M	256	84.61%	97.01%	1000	1216	263	1
rexnetr_300.sw_in12k_ft_in1k	rexnetr_300	34.9M	224	84.04%	97.00%	1000	3840	128	0
swin_small_patch4_window7_224.ms_in22k_ft_in1k	swin_small_patch4_window7_224	49.9M	224	83.33%	97.00%	1000	768	12773	0

6 - xlarge

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	eva02_base_patch14_448	87.1M	448	88.68%	98.73%	1000	768	7869	5
caformer_b36.sail_in22k_ft_in1k_384	caformer_b36	98.8M	384	88.07%	98.59%	1000	768	1265	0
convformer_b36.sail_in22k_ft_in1k_384	convformer_b36	99.9M	384	87.60%	98.43%	1000	768	36	0
convnextv2_base.fcmae_ft_in22k_in1k_384	convnextv2_base	88.7M	384	87.64%	98.42%	1000	1024	7986	0
caformer_m36.sail_in22k_ft_in1k_384	caformer_m36	56.2M	384	87.47%	98.31%	1000	576	1119	2
coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	coatnet_rmlp_2_rw_384	73.9M	384	87.40%	98.31%	1000	1024	939	1
vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	vit_mediumd_patch16_reg4_gap_384	64.3M	384	87.44%	98.26%	1000	512	51575	5
convnext_base.fb_in22k_ft_in1k_384	convnext_base	88.6M	384	86.83%	98.24%	1000	1024	8739	0
swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	swinv2_base_window12to24_192to384	94.6M	384	87.14%	98.23%	1000	1024	14205	0
vit_base_patch16_clip_384.openai_ft_in12k_in1k	vit_base_patch16_clip_384	86.9M	384	87.03%	98.19%	1000	768	103	1
beit_base_patch16_384.in22k_ft_in22k_in1k	beit_base_patch16_384	90.7M	384	86.82%	98.14%	1000	768	800	0
nextvit_large.bd_ssld_6m_in1k_384	nextvit_large	58.0M	384	86.54%	98.13%	1000	1024	42	1
convformer_m36.sail_in22k_ft_in1k_384	convformer_m36	57.1M	384	86.87%	98.13%	1000	576	65	0
deit3_base_patch16_384.fb_in22k_ft_in1k	deit3_base_patch16_384	86.9M	384	86.74%	98.11%	1000	768	1178	0
seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	seresnextaa101d_32x8d	93.8M	288	86.54%	98.09%	1000	2048	772	2
swin_base_patch4_window12_384.ms_in22k_ft_in1k	swin_base_patch4_window12_384	90.8M	384	86.44%	98.07%	1000	1024	12783	0
beitv2_base_patch16_224.in1k_ft_in22k_in1k	beitv2_base_patch16_224	87.0M	224	86.49%	98.06%	1000	768	1731	0
regnety_160.swag_ft_in1k	regnety_160	83.7M	384	86.02%	98.05%	1000	3024	59	0
vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	vit_betwixt_patch16_reg4_gap_384	60.6M	384	86.60%	98.02%	1000	640	527	1
vit_base_patch16_384.augreg_in21k_ft_in1k	vit_base_patch16_384	86.9M	384	86.01%	98.00%	1000	768	36455	0
vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	vit_mediumd_patch16_reg4_gap_256	64.1M	256	86.60%	97.94%	1000	512	251	1
convnext_small.in12k_ft_in1k_384	convnext_small	50.2M	384	86.19%	97.92%	1000	768	3724	0
swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	swinv2_base_window12to16_192to256	89.2M	256	86.28%	97.91%	1000	1024	5457	0
coatnet_2_rw_224.sw_in12k_ft_in1k	coatnet_2_rw_224	73.9M	224	86.58%	97.90%	1000	1024	1019	0
coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	coatnet_rmlp_2_rw_224	73.9M	224	86.54%	97.90%	1000	1024	457	0
vit_base_patch8_224.augreg2_in21k_ft_in1k	vit_base_patch8_224	86.6M	224	86.23%	97.84%	1000	768	327530	3
hgnetv2_b6.ssld_stage2_ft_in1k	hgnetv2_b6	75.4M	224	86.21%	97.81%	1000	2048	170	0
maxvit_small_tf_512.in1k	maxvit_small_tf_512	69.2M	512	86.10%	97.76%	1000	768	1182	2
vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	vit_base_patch16_clip_224	86.6M	224	86.21%	97.76%	1000	768	4884	2
deit3_base_patch16_224.fb_in22k_ft_in1k	deit3_base_patch16_224	86.6M	224	85.73%	97.75%	1000	768	1439	0

7 - xxlarge

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
maxvit_large_tf_512.in21k_ft_in1k	maxvit_large_tf_512	212.5M	512	88.24%	98.61%	1000	1024	276	0
convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	convnext_large_mlp	200.1M	384	88.33%	98.57%	1000	1536	3565	2
maxvit_large_tf_384.in21k_ft_in1k	maxvit_large_tf_384	212.2M	384	88.00%	98.57%	1000	1024	330	0
maxvit_base_tf_512.in21k_ft_in1k	maxvit_base_tf_512	120.0M	512	88.21%	98.54%	1000	768	3907	1
maxvit_base_tf_384.in21k_ft_in1k	maxvit_base_tf_384	119.8M	384	87.93%	98.54%	1000	768	2254	0
convnextv2_large.fcmae_ft_in22k_in1k_384	convnextv2_large	198.0M	384	88.18%	98.52%	1000	1536	3505	0
convnext_large.fb_in22k_ft_in1k_384	convnext_large	197.8M	384	87.46%	98.38%	1000	1536	16073	0
maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	maxxvitv2_rmlp_base_rw_384	116.1M	384	87.48%	98.37%	1000	1024	416	1
maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	maxvit_rmlp_base_rw_384	116.3M	384	87.81%	98.37%	1000	768	257	0
regnety_320.swag_ft_in1k	regnety_320	145.2M	384	86.86%	98.36%	1000	3712	707	0
seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	seresnextaa201d_32x8d	149.8M	384	87.31%	98.33%	1000	2048	234	2
swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	swinv2_large_window12to24_192to384	203.4M	384	87.47%	98.26%	1000	1536	1607	0
swin_large_patch4_window12_384.ms_in22k_ft_in1k	swin_large_patch4_window12_384	199.6M	384	87.14%	98.23%	1000	1536	8006	0
swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	swinv2_large_window12to16_192to256	198.1M	256	86.93%	98.10%	1000	1536	1794	0
maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	maxxvitv2_rmlp_base_rw_224	116.1M	224	86.64%	98.01%	1000	1024	254	2
maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	maxvit_rmlp_base_rw_224	116.3M	224	86.91%	98.00%	1000	768	375	1
swin_large_patch4_window7_224.ms_in22k_ft_in1k	swin_large_patch4_window7_224	196.9M	224	86.33%	97.88%	1000	1536	8461	0
volo_d4_448.sail_in1k	volo_d4_448	193.4M	448	86.79%	97.88%	1000	768	166	0
xcit_large_24_p8_384.fb_dist_in1k	xcit_large_24_p8_384	189.0M	384	86.03%	97.69%	1000	768	169	0
hiera_large_224.mae_in1k_ft_in1k	hiera_large_224	213.7M	224	86.04%	97.65%	1000	1152	237	1
efficientvit_l3.r384_in1k	efficientvit_l3	246.1M	384	86.40%	97.63%	1000	1024	67	1
xcit_large_24_p16_384.fb_dist_in1k	xcit_large_24_p16_384	189.1M	384	85.78%	97.53%	1000	768	149	0
volo_d4_224.sail_in1k	volo_d4_224	193.0M	224	85.87%	97.46%	1000	768	187	0
xcit_large_24_p8_224.fb_dist_in1k	xcit_large_24_p8_224	189.0M	224	85.40%	97.42%	1000	768	89	0
resnetv2_152x2_bit.goog_in21k_ft_in1k	resnetv2_152x2_bit	236.3M	448	84.48%	97.42%	1000	4096	2309	0
mvitv2_large.fb_in1k	mvitv2_large	218.0M	224	85.26%	97.19%	1000	1152	225	1
resnext101_32x16d.fb_wsl_ig1b_ft_in1k	resnext101_32x16d	194.4M	224	84.16%	97.19%	1000	2048	240	0
ecaresnet269d.ra2_in1k	ecaresnet269d	102.3M	320	84.72%	97.18%	1000	2048	299	0
resnetv2_50x3_bit.goog_in21k_ft_in1k	resnetv2_50x3_bit	217.3M	448	83.99%	97.13%	1000	6144	1452	1
xcit_large_24_p16_224.fb_dist_in1k	xcit_large_24_p16_224	189.1M	224	84.94%	97.13%	1000	768	147	0

8 - huge

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	eva02_large_patch14_448	305.1M	448	90.05%	99.06%	1000	1024	9994	20
eva_large_patch14_336.in22k_ft_in22k_in1k	eva_large_patch14_336	304.5M	336	89.25%	98.85%	1000	1024	2067	1
eva_large_patch14_196.in22k_ft_in22k_in1k	eva_large_patch14_196	304.1M	196	88.60%	98.66%	1000	1024	23709	2
beit_large_patch16_512.in22k_ft_in22k_in1k	beit_large_patch16_512	330.9M	512	88.58%	98.66%	1000	1024	849	0
maxvit_xlarge_tf_512.in21k_ft_in1k	maxvit_xlarge_tf_512	476.1M	512	88.54%	98.65%	1000	1536	584	3
beit_large_patch16_384.in22k_ft_in22k_in1k	beit_large_patch16_384	313.0M	384	88.38%	98.61%	1000	1024	762	0
beitv2_large_patch16_224.in1k_ft_in22k_in1k	beitv2_large_patch16_224	305.4M	224	88.41%	98.60%	1000	1024	1127	2
vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	vit_large_patch14_clip_336	304.5M	336	88.19%	98.57%	1000	1024	314	0
convnext_xlarge.fb_in22k_ft_in1k_384	convnext_xlarge	350.2M	384	87.77%	98.55%	1000	2048	4881	0
maxvit_xlarge_tf_384.in21k_ft_in1k	maxvit_xlarge_tf_384	475.6M	384	88.30%	98.54%	1000	1536	369	0
vit_large_patch14_clip_224.openai_ft_in12k_in1k	vit_large_patch14_clip_224	304.2M	224	88.16%	98.54%	1000	1024	244	38
deit3_large_patch16_384.fb_in22k_ft_in1k	deit3_large_patch16_384	304.8M	384	87.73%	98.51%	1000	1024	716	0
beit_large_patch16_224.in22k_ft_in22k_in1k	beit_large_patch16_224	305.4M	224	87.49%	98.32%	1000	1024	413	0
vit_large_patch16_384.augreg_in21k_ft_in1k	vit_large_patch16_384	304.7M	384	87.09%	98.31%	1000	1024	18224	0
deit3_large_patch16_224.fb_in22k_ft_in1k	deit3_large_patch16_224	304.4M	224	86.99%	98.24%	1000	1024	203	1
volo_d5_512.sail_in1k	volo_d5_512	296.1M	512	87.07%	97.97%	1000	768	277	0
volo_d5_448.sail_in1k	volo_d5_448	295.9M	448	86.98%	97.93%	1000	768	501	0
vit_large_r50_s32_384.augreg_in21k_ft_in1k	vit_large_r50_s32_384	329.1M	384	86.18%	97.93%	1000	1024	269	0
vit_large_patch16_224.augreg_in21k_ft_in1k	vit_large_patch16_224	304.3M	224	85.85%	97.83%	1000	1024	13120	1
dm_nfnet_f6.dm_in1k	dm_nfnet_f6	438.4M	448	86.15%	97.77%	1000	3072	900	0
cait_m48_448.fb_dist_in1k	cait_m48_448	356.5M	448	86.48%	97.75%	1000	768	4732	0
cait_m36_384.fb_dist_in1k	cait_m36_384	271.2M	384	86.06%	97.73%	1000	768	18886	1
volo_d5_224.sail_in1k	volo_d5_224	295.5M	224	86.08%	97.58%	1000	768	450	0
dm_nfnet_f5.dm_in1k	dm_nfnet_f5	377.2M	416	85.72%	97.55%	1000	3072	258	0
flexivit_large.1200ep_in1k	flexivit_large	304.4M	240	85.64%	97.55%	1000	1024	203	0
dm_nfnet_f4.dm_in1k	dm_nfnet_f4	316.1M	384	85.50%	97.49%	1000	3072	409	0
resnext101_32x32d.fb_wsl_ig1b_ft_in1k	resnext101_32x32d	469.1M	224	85.10%	97.44%	1000	2048	495	2
dm_nfnet_f3.dm_in1k	dm_nfnet_f3	254.9M	320	85.10%	97.39%	1000	3072	10946	0
resnetv2_101x3_bit.goog_in21k_ft_in1k	resnetv2_101x3_bit	387.9M	448	84.43%	97.38%	1000	6144	1245	0
vit_large_r50_s32_224.augreg_in21k_ft_in1k	vit_large_r50_s32_224	329.0M	224	84.43%	97.15%	1000	1024	210	0

9 - giant

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
convnextv2_huge.fcmae_ft_in22k_in1k_512	convnextv2_huge	660.3M	512	88.86%	98.74%	1000	2816	2169	2
convnext_xxlarge.clip_laion2b_soup_ft_in1k	convnext_xxlarge	846.5M	256	88.62%	98.72%	1000	3072	40384	2
regnety_1280.swag_ft_in1k	regnety_1280	645.2M	384	88.22%	98.70%	1000	7392	151	0
vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	vit_huge_patch14_clip_336	632.5M	336	88.63%	98.67%	1000	1280	2225	2
vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	vit_huge_patch14_clip_224	632.0M	224	88.28%	98.55%	1000	1280	1415	2
deit3_huge_patch14_224.fb_in22k_ft_in1k	deit3_huge_patch14_224	632.1M	224	87.18%	98.26%	1000	1280	176	0
hiera_huge_224.mae_in1k_ft_in1k	hiera_huge_224	672.8M	224	86.83%	98.01%	1000	2048	281	1
resnetv2_152x4_bit.goog_in21k_ft_in1k	resnetv2_152x4_bit	936.5M	480	84.92%	97.46%	1000	8192	1261	2

10 - colossal

Name	Architecture	Params	Input Size	Top-1	Top-5	Num Classes	Num Features	Downloads	Likes
eva_giant_patch14_560.m30m_ft_in22k_in1k	eva_giant_patch14_560	1.0G	560	89.80%	98.99%	1000	1408	7774	3
eva_giant_patch14_336.m30m_ft_in22k_in1k	eva_giant_patch14_336	1.0G	336	89.57%	98.95%	1000	1408	49	0
eva_giant_patch14_224.clip_ft_in1k	eva_giant_patch14_224	1.0G	224	88.89%	98.68%	1000	1408	399	2
regnety_2560.seer_ft_in1k	regnety_2560	1.3G	384	85.15%	97.44%	1000	10444	52	0