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Models that run on 2 × 24 GB

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 88 image-text-to-text 80 sentence-similarity 55 feature-extraction 45 translation 43 text-classification 39 image-classification 32 token-classification 21 text-to-speech 12 audio-classification 10 object-detection 10 image-segmentation 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
$
762 models
#ModelParamsContextCommercial use30dOn 2 × 24 GB
151 e5-large-v2 intfloat · sentence-similarity 340 M 512 ✓ mit 1.6 M 2.0 GB
152 Qwen3.8-Flash-Next-GGUF unsloth · image-text-to-text — — other 1.6 M 3.6 GB
153 multilingual-e5-large-instruct intfloat · feature-extraction 560 M 512 ✓ mit 1.6 M 1.8 GB
154 multi-qa-mpnet-base-dot-v1 sentence-transformers · sentence-similarity 110 M 512 unknown 1.6 M 1.0 GB
155 whisper-base openai · ASR 70 M — ✓ apache-2.0 1.5 M 0.8 GB
156 parakeet-unified-en-0.6b-gguf handy-computer · ASR — — ✓ cc-by-4.0 1.5 M 1.0 GB
157 SmolLM2-135M-Instruct HuggingFaceTB · text-generation 130 M 8 K ✓ apache-2.0 1.5 M 0.8 GB
158 Qwen3-4B-Base Qwen · text-generation 4.0 B 33 K ✓ apache-2.0 1.5 M 10.0 GB
159 Qwen3-1.7B-Base Qwen · text-generation 1.7 B 33 K ✓ apache-2.0 1.5 M 4.5 GB
160 paraphrase-MiniLM-L6-v2 sentence-transformers · sentence-similarity 20 M 512 ✓ apache-2.0 1.5 M 0.6 GB
161 Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF DavidAU · image-text-to-text — — ✓ apache-2.0 1.5 M 5.9 GB
162 Qwen3.5-9B-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.5 M 5.2 GB
163 SapBERT-from-PubMedBERT-fulltext cambridgeltl · feature-extraction 110 M 512 ✓ apache-2.0 1.5 M 1.0 GB
164 Qwen2.5-Coder-32B-Instruct-AWQ Qwen · text-generation 32.8 B 33 K ✓ apache-2.0 1.5 M 26.7 GB
165 koelectra-small-v3-nsmc daekeun-ml · text-classification 10 M 512 ✓ mit 1.5 M 0.6 GB
166 Ornith-1.5-397B-GGUF ornith-ai · text-generation — — ✓ mit 1.5 M 1.5 GB
167 wav2vec2-base-960h facebook · ASR 90 M — ✓ apache-2.0 1.5 M 0.9 GB
168 TinyLlama-1.1B-Chat-v1.0 TinyLlama · text-generation 1.1 B 2 K ✓ apache-2.0 1.4 M 3.1 GB
169 OTel-LLM-E4B-IT farbodtavakkoli · text-generation 4.0 B — ✓ apache-2.0 1.4 M 9.9 GB
170 bert-base-NER dslim · token-classification 110 M 512 ✓ mit 1.4 M 1.0 GB
171 gte-multilingual-base Alibaba-NLP · sentence-similarity 310 M 8 K ✓ apache-2.0 1.4 M 1.2 GB
172 gender-classification rizvandwiki · image-classification 90 M — unknown 1.4 M 0.9 GB
173 Qwen3.8-27B-AWQ-INT4 cyankiwi · image-text-to-text 27.8 B — ✓ apache-2.0 1.4 M 27.8 GB
174 wav2vec2-xls-r-300m-mixed mesolitica · ASR 300 M — unknown 1.4 M 1.2 GB
175 Wav2Vec2-large-xlsr-hindi theainerd · ASR 320 M — unknown 1.4 M 1.9 GB
176 OpenELM-1_1B-Instruct apple · text-generation 1.1 B — apple-amlr 1.4 M 3.0 GB
177 bart-large-cnn facebook · summarization 410 M 1 K ✓ mit 1.3 M 2.3 GB
178 Qwen3.6-35B-A3B-NVFP4 unsloth · image-text-to-text 24.6 B — ✓ apache-2.0 1.3 M 33.3 GB
179 Unlimited-OCR-AWQ sahilchachra · image-text-to-text 3.4 B 33 K ✓ mit 1.3 M 4.1 GB
180 OmniVoice k2-fsa · text-to-speech 610 M — unknown 1.3 M 4.2 GB
181 Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF DavidAU · image-text-to-text — — ✓ apache-2.0 1.3 M 13.8 GB
182 wav2vec2-xls-r-300m-cs-250 comodoro · ASR 320 M — ✓ apache-2.0 1.3 M 1.9 GB
183 gpt2-large openai-community · text-generation 810 M — ✓ mit 1.3 M 4.2 GB
184 wav2vec2-xls-r-300m-hebrew imvladikon · ASR 320 M — unknown 1.3 M 1.9 GB
185 Qwen3.6-35B-A3B-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.3 M 11.6 GB
186 SmolVLM2-500M-Video-Instruct HuggingFaceTB · image-text-to-text 510 M — ✓ apache-2.0 1.3 M 2.8 GB
187 gemma-3-27b-it-int4-awq gaunernst · image-text-to-text 27.4 B — ⚠ gemma 1.2 M 24.9 GB
188 Qwen3.8-27B-OBLITERATED OBLITERATUS · text-generation 27.8 B — ✓ apache-2.0 1.2 M 5.7 GB
189 distiluse-base-multilingual-cased-v2 sentence-transformers · sentence-similarity 130 M 512 ✓ apache-2.0 1.2 M 1.1 GB
190 nb-wav2vec2-1b-nynorsk NbAiLab · ASR 960 M — ✓ apache-2.0 1.2 M 4.9 GB
191 Qwen3.8-27B-GSQ-RCO-GGUF ISTA-DASLab · image-text-to-text — — ✓ apache-2.0 1.2 M 1.5 GB
192 Meta-Llama-3-8B-Instruct meta-llama · text-generation · gated 8.0 B — ⚠ llama3 1.2 M 19.4 GB
193 LFM2.5-2.6B-GGUF LiquidAI · text-generation — — other 1.2 M 2.3 GB
194 surya-ocr-2 datalab-to · image-text-to-text 690 M — ⚠ openrail 1.2 M 2.1 GB
195 Ornith-1.5-35B-A3B-NVFP4 ornith-ai · text-generation 19.5 B — ✓ mit 1.2 M 29.2 GB
196 Qwen3.8-27B-NVFP4 Inferact · image-text-to-text 17.6 B — ✓ apache-2.0 1.2 M 32.2 GB
197 PowerMoE-3b ibm-research · text-generation 3.4 B 4 K ✓ apache-2.0 1.2 M 15.9 GB
198 whisper-tiny Xenova · ASR 40 M — ✓ apache-2.0 1.2 M 0.6 GB
199 pythia-70m-deduped EleutherAI · text-generation 100 M 2 K ✓ apache-2.0 1.2 M 0.7 GB
200 Qwen3-VL-Embedding-8B Qwen · sentence-similarity 8.1 B — ✓ apache-2.0 1.2 M 19.6 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.