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Models that run on RTX 3060 · 12 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
$
539 models
#ModelParamsContextCommercial use30dOn RTX 3060 · 12 GB
251 bge-small-en-v1.5 michaelfeil · feature-extraction 30 M 512 ✓ mit 599 K 0.7 GB
252 Qwen3-ASR-0.6B Qwen · ASR 940 M — ✓ apache-2.0 598 K 2.7 GB
253 detr-resnet-50 facebook · object-detection 40 M 1 K ✓ apache-2.0 591 K 0.7 GB
254 Qwen3-Reranker-4B-W4A16-G128 boboliu · text-classification 4.1 B 41 K ✓ apache-2.0 586 K 4.0 GB
255 LFM2.5-230M-GGUF LiquidAI · text-generation — — other 586 K 0.7 GB
256 Parable-Qwen3-8B-Claude-Fable-5-GGUF AnkitAI · text-generation — — ✓ apache-2.0 583 K 6.0 GB
257 parakeet-tdt-0.6b-v3 nvidia · ASR 630 M — ✓ cc-by-4.0 577 K 1.4 GB
258 convnext_tiny.in12k_ft_in1k timm · image-classification 30 M — ✓ apache-2.0 577 K 0.6 GB
259 table-transformer-detection microsoft · object-detection 30 M 1 K ✓ mit 576 K 0.6 GB
260 parakeet-tdt-0.6b-v3-gguf handy-computer · ASR — — ✓ cc-by-4.0 575 K 1.0 GB
261 japanese-gpt-neox-small rinna · text-generation 200 M 2 K ✓ mit 575 K 1.3 GB
262 SmolLM-1.7B-Instruct-quantized.w4a16 nm-testing · text-generation 1.8 B 2 K ✓ apache-2.0 571 K 2.7 GB
263 LFM2.5-8B-A1B-GGUF LiquidAI · text-generation — — other 571 K 5.8 GB
264 Qwen2.5-Coder-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 567 K 4.1 GB
265 wav2vec2-large-xls-r-300m-welsh infinitejoy · ASR 300 M — ✓ apache-2.0 567 K 1.2 GB
266 bge-reranker-v2.5-gemma2-lightweight-gptq boboliu · text-generation 9.2 B 8 K unknown 563 K 8.7 GB
267 e5-small-v2 intfloat · sentence-similarity 30 M 512 ✓ mit 558 K 0.7 GB
268 xlm-roberta-base-language-detection papluca · text-classification 280 M 512 ✓ mit 557 K 1.8 GB
269 rtdetr_v2_r18vd PekingU · object-detection 20 M — ✓ apache-2.0 557 K 0.6 GB
270 phi-2 microsoft · text-generation 2.8 B 2 K ✓ mit 556 K 7.0 GB
271 wav2vec2-xls-r-300m-cv7-turkish mpoyraz · ASR 300 M — ✓ cc-by-4.0 556 K 1.2 GB
272 inclusively-classification E-MIMIC · text-classification 110 M 512 ✗ cc-by-nc-sa-4.0 552 K 1.0 GB
273 paraphrase-albert-small-v2 sentence-transformers · sentence-similarity 10 M 512 ✓ apache-2.0 551 K 0.6 GB
274 macbert4csc-base-chinese shibing624 · text-generation 100 M 512 ✓ apache-2.0 543 K 1.0 GB
275 resnet-50 microsoft · image-classification 30 M — ✓ apache-2.0 542 K 0.6 GB
276 ko-sroberta-multitask jhgan · sentence-similarity 110 M 512 unknown 540 K 1.0 GB
277 gpt-neo-125m EleutherAI · text-generation 150 M 2 K ✓ mit 538 K 1.1 GB
278 whisper-bemba-stt AbelZimba · ASR 240 M — unknown 534 K 1.6 GB
279 Qwen3-Embedding-4B-W4A16-G128 boboliu · feature-extraction 4.1 B 41 K ✓ apache-2.0 532 K 4.0 GB
280 whisper-medium-gguf handy-computer · ASR — — ✓ apache-2.0 529 K 1.1 GB
281 Ornith-1.0-9B-GGUF unsloth · text-generation — — ✓ mit 520 K 5.3 GB
282 distil-large-v3 distil-whisper · ASR 760 M — ✓ mit 517 K 5.6 GB
283 jina-embeddings-v5-text-nano jinaai · feature-extraction 210 M 8 K ✗ cc-by-nc-4.0 515 K 1.1 GB
284 qwen3-4b-base-dapo-v4 ReliquaryForge · text-generation 4.0 B 33 K ✓ apache-2.0 515 K 10.0 GB
285 Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 515 K 7.8 GB
286 open-vakgyata onecxi · audio-classification 60 M — ✗ cc-by-nc-4.0 507 K 0.8 GB
287 bloom-560m bigscience · text-generation 560 M — ⚠ bigscience-bloom-rail-1.0 502 K 1.8 GB
288 wav2vec2-xls-r-300m-sk-cv8 comodoro · ASR 300 M — ✓ apache-2.0 502 K 1.2 GB
289 lambda unslothai · feature-extraction — — unknown 498 K 0.5 GB
290 VibeVoice-1.5B microsoft · text-to-speech 2.7 B — ✓ mit 497 K 6.9 GB
291 snowflake-arctic-embed-s Snowflake · sentence-similarity 30 M 512 ✓ apache-2.0 496 K 0.7 GB
292 pythia-160m-deduped EleutherAI · text-generation 210 M 2 K ✓ apache-2.0 492 K 0.9 GB
293 ruri-v3-310m cl-nagoya · sentence-similarity 310 M 8 K ✓ apache-2.0 492 K 1.9 GB
294 resnet34.a1_in1k timm · image-classification 20 M — ✓ apache-2.0 492 K 0.6 GB
295 sat-3l-sm segment-any-text · token-classification 210 M 514 ✓ mit 491 K 1.5 GB
296 cryptobert ElKulako · text-classification 120 M 512 ✓ mit 483 K 1.1 GB
297 resnet18.a3_in1k timm · image-classification 10 M — ✓ apache-2.0 483 K 0.6 GB
298 gemma-4-12B-coder-fable5-composer2.5-v1-GGUF yuxinlu1 · text-generation — — ✓ apache-2.0 483 K 5.8 GB
299 SmolLM2-360M HuggingFaceTB · text-generation 360 M 8 K ✓ apache-2.0 481 K 1.4 GB
300 snowflake-arctic-embed-l Snowflake · sentence-similarity 334 M 512 ✓ apache-2.0 480 K 2.0 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.