AImodelsComparison.com 1,011 models
Menu
Models Best of Trending Can I run it? Methodology About
1,011 models · refreshed nightly

All models

Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

Task
All text-generation 400 text-to-image 150 ASR 89 image-text-to-text 82 sentence-similarity 55 feature-extraction 47 translation 44 text-classification 39 image-classification 32 token-classification 22 text-to-speech 16 audio-classification 12 image-segmentation 8 object-detection 8 summarization 7
Runs on
Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB
Licence
Size
$
1,011 models
#ModelParamsContextCommercial use30dMin VRAM
151 gemma-3-270m google · text-generation · gated 270 M — ⚠ gemma 2.1 M from 1.1 GB
152 faster-whisper-small Systran · ASR — — ✓ mit 2.1 M —
153 DeepSeek-OCR-2 deepseek-ai · image-text-to-text 3.4 B 8 K ✓ apache-2.0 2.1 M from 8.5 GB
154 GLM-4.7-Flash zai-org · text-generation 31.2 B 203 K ✓ mit 2.1 M from 73.9 GB
155 embeddinggemma-300m google · sentence-similarity · gated 300 M — ⚠ gemma 2.1 M from 1.9 GB
156 Meta-Llama-3-8B meta-llama · text-generation · gated 8.0 B — ⚠ llama3 2.1 M from 19.4 GB
157 nemotron-3.5-asr-streaming-0.6b-gguf handy-computer · ASR — — other 2.0 M from 1.0 GB
158 diffusiongemma-26B-A4B-it google · image-text-to-text 25.8 B — ✓ apache-2.0 2.0 M from 61.2 GB
159 Qwen2.5-VL-7B-Instruct-AWQ Qwen · image-text-to-text 8.3 B 128 K ✓ apache-2.0 2.0 M from 9.4 GB
160 Qwen3-ASR-1.7B Qwen · ASR 2.4 B — ✓ apache-2.0 2.0 M from 6.0 GB
161 whisper-tiny openai · ASR 40 M — ✓ apache-2.0 2.0 M from 0.7 GB
162 Qwen2.5-Coder-7B-Instruct Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 2.0 M from 18.4 GB
163 wav2vec2-large-xlsr-53-dutch jonatasgrosman · ASR — — ✓ apache-2.0 2.0 M —
164 SmolLM2-135M-Instruct HuggingFaceTB · text-generation 130 M 8 K ✓ apache-2.0 2.0 M from 0.8 GB
165 multi-qa-mpnet-base-dot-v1 sentence-transformers · sentence-similarity 110 M 512 unknown 1.9 M from 1.0 GB
166 stanford-deidentifier-base StanfordAIMI · token-classification — 512 ✓ mit 1.9 M —
167 Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive HauhauCS · image-text-to-text — — ✓ apache-2.0 1.9 M from 13.3 GB
168 Qwen3-30B-A3B-Instruct-2507 Qwen · text-generation 30.5 B 262 K ✓ apache-2.0 1.9 M from 72.3 GB
169 Qwen3.6-27B-NVFP4 nvidia · text-generation 18.2 B — ✓ apache-2.0 1.9 M from 27.3 GB
170 resnet18.a1_in1k timm · image-classification 10 M — ✓ apache-2.0 1.9 M from 0.6 GB
171 parakeet-unified-en-0.6b-gguf handy-computer · ASR — — ✓ cc-by-4.0 1.9 M from 1.0 GB
172 parakeet-tdt-0.6b-v2 mlx-community · ASR 620 M — ✓ cc-by-4.0 1.9 M from 3.3 GB
173 parakeet-ctc-1.1b nvidia · ASR 1.1 B — ✓ cc-by-4.0 1.9 M from 2.0 GB
174 PowerMoE-3b ibm-research · text-generation 3.4 B 4 K ✓ apache-2.0 1.8 M from 15.9 GB
175 Qwen3.6-35B-A3B-NVFP4 unsloth · image-text-to-text 24.6 B — ✓ apache-2.0 1.8 M from 33.3 GB
176 SmolLM2-135M HuggingFaceTB · text-generation 130 M 8 K ✓ apache-2.0 1.8 M from 0.8 GB
177 gemma-3-4b-it google · image-text-to-text · gated 4.3 B — ⚠ gemma 1.8 M from 10.6 GB
178 bge-base-en-v1.5-course-recommender-v5 datasocietyco · sentence-similarity 110 M 512 unknown 1.8 M from 1.0 GB
179 ko-sroberta-multitask jhgan · sentence-similarity 110 M 512 unknown 1.8 M from 1.0 GB
180 Meta-Llama-3-8B-Instruct meta-llama · text-generation · gated 8.0 B — ⚠ llama3 1.8 M from 19.4 GB
181 GLM-5.2-NVFP4 nvidia · text-generation 381.0 B 1.0 M ✓ mit 1.8 M from 569.0 GB
182 Qwen2-VL-7B-Instruct-AWQ Qwen · image-text-to-text 8.3 B 33 K ✓ apache-2.0 1.8 M from 9.4 GB
183 Qwen3-VL-235B-A22B-Instruct Qwen · image-text-to-text 235.7 B — ✓ apache-2.0 1.8 M from 554.3 GB
184 wav2vec2-indonesian-javanese-sundanese indonesian-nlp · ASR — — ✓ apache-2.0 1.8 M —
185 bge-large-zh-v1.5 BAAI · feature-extraction — 512 ✓ mit 1.8 M —
186 Llama-3.2-1B meta-llama · text-generation · gated 1.2 B — ⚠ llama3.2 1.8 M from 3.4 GB
187 Qwen2.5-32B-Instruct Qwen · text-generation 32.8 B 33 K ✓ apache-2.0 1.7 M from 77.5 GB
188 wav2vec2-base-960h facebook · ASR 90 M — ✓ apache-2.0 1.7 M from 0.9 GB
189 Qwen2.5-Coder-32B-Instruct-AWQ Qwen · text-generation 32.8 B 33 K ✓ apache-2.0 1.7 M from 26.7 GB
190 stsb-bert-tiny-safetensors sentence-transformers-testing · sentence-similarity 0 M 512 unknown 1.7 M from 0.5 GB
191 gte-large-en-v1.5 Alibaba-NLP · sentence-similarity 430 M 8 K ✓ apache-2.0 1.7 M from 2.5 GB
192 diffusiongemma-26B-A4B-it-NVFP4 nvidia · text-generation 14.4 B — ✓ apache-2.0 1.7 M from 23.4 GB
193 bge-base-zh-v1.5 BAAI · feature-extraction — 512 ✓ mit 1.7 M —
194 wav2vec2-large-xlsr-53-greek jonatasgrosman · ASR — — ✓ apache-2.0 1.7 M —
195 distil-large-v3 distil-whisper · ASR 760 M — ✓ mit 1.7 M from 5.6 GB
196 DeepSeek-R1-0528-Qwen3-8B deepseek-ai · text-generation 8.2 B 131 K ✓ mit 1.7 M from 19.7 GB
197 tf_efficientnetv2_s.in21k_ft_in1k timm · image-classification 20 M — ✓ apache-2.0 1.6 M from 0.6 GB
198 Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF DavidAU · image-text-to-text — — ✓ apache-2.0 1.6 M from 13.8 GB
199 t5-base google-t5 · translation 220 M — ✓ apache-2.0 1.6 M from 1.5 GB
200 SapBERT-from-PubMedBERT-fulltext cambridgeltl · feature-extraction 110 M 512 ✓ apache-2.0 1.6 M from 1.0 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.