1,011 models · refreshed nightly
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.
| # | Model | Params | Context | Commercial use | 30d | On RTX 3060 · 12 GB |
|---|---|---|---|---|---|---|
| 301 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 428 K | 1.3 GB |
| 302 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 423 K | 2.1 GB |
| 303 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 416 K | 0.9 GB |
| 304 | bert-small-pii-detection | 30 M | 512 | ✓ apache-2.0 | 416 K | 0.6 GB |
| 305 | granite-speech-4.1-2b | 2.3 B | — | ✓ apache-2.0 | 415 K | 6.2 GB |
| 306 | Qwen3-ForcedAligner-0.6B | 920 M | — | ✓ apache-2.0 | 407 K | 2.7 GB |
| 307 | audiobox-aesthetics | 100 M | — | ✓ cc-by-4.0 | 401 K | 1.0 GB |
| 308 | multilingual-sentiment-analysis | 140 M | 512 | ✗ cc-by-nc-4.0 | 399 K | 1.1 GB |
| 309 | EXAONE-3.5-7.8B-Instruct-AWQ | 7.8 B | 33 K | other | 389 K | 7.5 GB |
| 310 | wav2vec2-large-xlsr-kazakh | 320 M | — | ✓ apache-2.0 | 386 K | 1.9 GB |
| 311 | Ilama-3.2-1B | 1.2 B | 131 K | unknown | 381 K | 6.1 GB |
| 312 | mistral-7b-v0.3-bnb-4bit | 7.5 B | 33 K | ✓ apache-2.0 | 380 K | 6.2 GB |
| 313 | convnext_femto.d1_in1k | 10 M | — | ✓ apache-2.0 | 375 K | 0.5 GB |
| 314 | higgs-tts-3-4b | 4.7 B | — | other | 374 K | 11.4 GB |
| 315 | gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF | — | — | ✓ apache-2.0 | 373 K | 1.4 GB |
| 316 | VieNeu-TTS-v3-Turbo | 130 M | 1 K | ✓ apache-2.0 | 370 K | 1.1 GB |
| 317 | s2-pro | 4.6 B | — | other | 368 K | 11.2 GB |
| 318 | whisper-medium | 760 M | — | ✓ apache-2.0 | 364 K | 4.0 GB |
| 319 | segformer-b0-finetuned-ade-512-512 | 0 M | — | other | 364 K | 0.5 GB |
| 320 | gpt-neo-125m | 150 M | 2 K | ✓ mit | 350 K | 1.1 GB |
| 321 | gemma-3-270m-it | 270 M | — | ⚠ gemma | 346 K | 1.1 GB |
| 322 | Qwen3-4B-Thinking-2507 | 4.0 B | 262 K | ✓ apache-2.0 | 341 K | 10.0 GB |
| 323 | MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF | — | — | ✓ apache-2.0 | 340 K | 1.3 GB |
| 324 | granite-4.1-3b | 3.4 B | 131 K | ✓ apache-2.0 | 329 K | 8.5 GB |
| 325 | efficientnet_b2.ra_in1k | 10 M | — | ✓ apache-2.0 | 325 K | 0.5 GB |
| 326 | Mistral-7B-Instruct-v0.2-AWQ | 7.2 B | 33 K | ✓ apache-2.0 | 323 K | 6.2 GB |
| 327 | edgenext_small.usi_in1k | 10 M | — | ✓ mit | 320 K | 0.5 GB |
| 328 | RMBG-1.4 | 40 M | — | other | 319 K | 0.7 GB |
| 329 | Jan-v3.5-4B-gguf | — | — | ✓ apache-2.0 | 316 K | 2.8 GB |
| 330 | phishing-email-detection-distilbert_v2.4.1 | 70 M | 512 | ✓ apache-2.0 | 311 K | 0.8 GB |
| 331 | Qwen2.5-3B | 3.1 B | 33 K | other | 310 K | 7.8 GB |
| 332 | Qwen3-8B-GGUF | — | 41 K | ✓ apache-2.0 | 309 K | 4.1 GB |
| 333 | voice-gender-classifier | 20 M | — | ✓ mit | 308 K | 0.6 GB |
| 334 | mms-lid-126 | 970 M | — | ✗ cc-by-nc-4.0 | 308 K | 4.9 GB |
| 335 | xlm-roberta-base-ner-hrl | 280 M | 512 | ✓ afl-3.0 | 307 K | 1.8 GB |
| 336 | segformer_b2_clothes | 30 M | — | other | 306 K | 0.6 GB |
| 337 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 305 K | 1.7 GB |
| 338 | Meta-Llama-3.1-8B-Instruct-GGUF | — | — | ⚠ llama3.1 | 302 K | 3.7 GB |
| 339 | vit_small_patch16_224.augreg_in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 301 K | 0.6 GB |
| 340 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 300 K | 1.3 GB |
| 341 | gemma-4-12B-coder-fable5-composer2.5-v1-GGUF | — | — | ✓ apache-2.0 | 298 K | 5.8 GB |
| 342 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 298 K | 3.4 GB |
| 343 | rtdetr_v2_r18vd | 20 M | — | ✓ apache-2.0 | 295 K | 0.6 GB |
| 344 | CommunityForensics-DeepfakeDet-ViT | 40 M | — | ✓ mit | 294 K | 0.7 GB |
| 345 | SmolLM-135M | 130 M | 2 K | ✓ apache-2.0 | 293 K | 1.1 GB |
| 346 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 292 K | 2.0 GB |
| 347 | roberta-large-mnli | 360 M | 512 | ✓ mit | 291 K | 2.1 GB |
| 348 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 285 K | 5.8 GB |
| 349 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 281 K | 0.9 GB |
| 350 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 280 K | 3.2 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.