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Models that run on RTX 4070 · 16 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 85 image-text-to-text 80 sentence-similarity 54 feature-extraction 46 translation 43 text-classification 39 image-classification 32 token-classification 21 text-to-speech 15 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
$
531 models
#ModelParamsContextCommercial use30dOn RTX 4070 · 16 GB
301 tiny-mixtral TitanML · text-generation 250 M 131 K unknown 460 K 1.6 GB
302 bge-base-en BAAI · feature-extraction 110 M 512 ✓ mit 458 K 1.0 GB
303 paraphrase-MiniLM-L12-v2 sentence-transformers · sentence-similarity 30 M 512 ✓ apache-2.0 456 K 0.7 GB
304 MedCPT-Query-Encoder ncbi · feature-extraction 110 M 512 other 454 K 1.0 GB
305 BioLORD-2023 FremyCompany · sentence-similarity 110 M 512 other 446 K 1.0 GB
306 Qwen3-4B-AWQ Qwen · text-generation 4.0 B 41 K ✓ apache-2.0 445 K 4.0 GB
307 Bangla-twoclass-Sentiment-Analyzer Arunavaonly · text-classification 280 M 512 ✓ mit 443 K 1.8 GB
308 Phi-4-mini-instruct microsoft · text-generation 3.8 B 131 K ✓ mit 442 K 9.5 GB
309 stable-diffusion-v1-4 CompVis · text-to-image 860 M — ⚠ creativeml-openrail-m 438 K 13.5 GB
310 Qwen3-TTS-12Hz-0.6B-Base Qwen · text-to-speech 910 M — ✓ apache-2.0 435 K 3.4 GB
311 Qwen2.5-3B-Instruct-unsloth-bnb-4bit unsloth · text-generation 3.2 B 33 K ✓ apache-2.0 428 K 3.6 GB
312 japanese-gpt-neox-small rinna · text-generation 200 M 2 K ✓ mit 426 K 1.3 GB
313 Qwen2.5-Coder-14B-Instruct-AWQ Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 425 K 13.7 GB
314 vit_tiny_r_s16_p8_224.augreg_in21k timm · image-classification 10 M — ✓ apache-2.0 423 K 0.5 GB
315 Voxtral-Mini-4B-Realtime-2602-gguf handy-computer · ASR — — ✓ apache-2.0 416 K 3.6 GB
316 deid_roberta_i2b2 obi · token-classification 350 M 512 ✓ mit 412 K 2.1 GB
317 Qwen2.5-1.5B-apeach jason9693 · text-classification 1.5 B 131 K unknown 411 K 7.5 GB
318 granite-speech-4.1-2b ibm-granite · ASR 2.3 B — ✓ apache-2.0 409 K 6.2 GB
319 Zamba2-1.2B-instruct Zyphra · text-generation 1.2 B 4 K ✓ apache-2.0 408 K 6.0 GB
320 audiobox-aesthetics facebook · audio-classification 100 M — ✓ cc-by-4.0 407 K 1.0 GB
321 Qwen3-ForcedAligner-0.6B Qwen · ASR 920 M — ✓ apache-2.0 404 K 2.7 GB
322 rtdetr_r101vd_coco_o365 PekingU · object-detection 80 M — ✓ apache-2.0 404 K 0.9 GB
323 EXAONE-3.5-7.8B-Instruct-AWQ LGAI-EXAONE · text-generation 7.8 B 33 K other 401 K 7.5 GB
324 wav2vec2-large-xlsr-kazakh aismlv · ASR 320 M — ✓ apache-2.0 386 K 1.9 GB
325 s2-pro fishaudio · text-to-speech 4.6 B — other 383 K 11.2 GB
326 mistral-7b-v0.3-bnb-4bit unsloth · text-generation 7.5 B 33 K ✓ apache-2.0 368 K 6.2 GB
327 Ilama-3.2-1B hmellor · text-generation 1.2 B 131 K unknown 365 K 6.1 GB
328 bert-small-pii-detection gravitee-io · token-classification 30 M 512 ✓ apache-2.0 363 K 0.6 GB
329 convnext_femto.d1_in1k timm · image-classification 10 M — ✓ apache-2.0 363 K 0.5 GB
330 gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF yuxinlu1 · text-generation — — ✓ apache-2.0 358 K 1.4 GB
331 segformer-b0-finetuned-ade-512-512 nvidia · image-segmentation 0 M — other 357 K 0.5 GB
332 multilingual-sentiment-analysis tabularisai · text-classification 140 M 512 ✗ cc-by-nc-4.0 353 K 1.1 GB
333 Qwen3-4B-Thinking-2507 Qwen · text-generation 4.0 B 262 K ✓ apache-2.0 347 K 10.0 GB
334 MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF GnLOLot · text-generation — — ✓ apache-2.0 344 K 1.3 GB
335 gemma-3-270m-it google · text-generation · gated 270 M — ⚠ gemma 344 K 1.1 GB
336 gpt-neo-125m EleutherAI · text-generation 150 M 2 K ✓ mit 343 K 1.1 GB
337 Mistral-7B-Instruct-v0.2-AWQ TheBloke · text-generation 7.2 B 33 K ✓ apache-2.0 325 K 6.2 GB
338 efficientnet_b2.ra_in1k timm · image-classification 10 M — ✓ apache-2.0 314 K 0.5 GB
339 edgenext_small.usi_in1k timm · image-classification 10 M — ✓ mit 313 K 0.5 GB
340 granite-4.1-3b ibm-granite · text-generation 3.4 B 131 K ✓ apache-2.0 312 K 8.5 GB
341 RMBG-1.4 briaai · image-segmentation 40 M — other 310 K 0.7 GB
342 segformer_b2_clothes mattmdjaga · image-segmentation 30 M — other 308 K 0.6 GB
343 voice-gender-classifier JaesungHuh · audio-classification 20 M — ✓ mit 307 K 0.6 GB
344 Jan-v3.5-4B-gguf janhq · text-generation — — ✓ apache-2.0 306 K 2.8 GB
345 Qwen2.5-3B Qwen · text-generation 3.1 B 33 K other 306 K 7.8 GB
346 xlm-roberta-base-ner-hrl Davlan · token-classification 280 M 512 ✓ afl-3.0 304 K 1.8 GB
347 phishing-email-detection-distilbert_v2.4.1 cybersectony · text-classification 70 M 512 ✓ apache-2.0 301 K 0.8 GB
348 Qwen2-0.5B-Instruct Qwen · text-generation 490 M 33 K ✓ apache-2.0 294 K 1.7 GB
349 Meta-Llama-3.1-8B-Instruct-GGUF bartowski · text-generation — — ⚠ llama3.1 294 K 3.7 GB
350 mms-lid-126 facebook · audio-classification 970 M — ✗ cc-by-nc-4.0 291 K 4.9 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.