1,423 models · 1,213 open weights · 210 API-only · refreshed nightly

Models that run on RTX 4070 · 16 GB

Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

#ModelParamsContextCommercial use30dOn RTX 4070 · 16 GB
01 all-MiniLM-L6-v2 sentence-transformers · sentence-similarity Open weights 20 M 512 ✓ apache-2.0 177.6 M 0.6 GB
02 bge-small-en-v1.5 BAAI · feature-extraction Open weights 30 M 512 ✓ mit 47.6 M 0.7 GB
03 gpt2 openai-community · text-generation Open weights 140 M — ✓ mit 31.8 M 1.1 GB
04 paraphrase-multilingual-MiniLM-L12-v2 sentence-transformers · sentence-similarity Open weights 120 M 512 ✓ apache-2.0 27.1 M 1.0 GB
05 t5-small google-t5 · translation Open weights 60 M — ✓ apache-2.0 21.6 M 0.8 GB
06 Qwen3-0.6B Qwen · text-generation Open weights 750 M 41 K ✓ apache-2.0 20.7 M 2.3 GB
07 all-mpnet-base-v2 sentence-transformers · sentence-similarity Open weights 110 M 512 ✓ apache-2.0 20.5 M 1.0 GB
08 vit-base-patch16-224 google · image-classification Open weights 90 M — ✓ apache-2.0 15.0 M 0.9 GB
09 bge-reranker-v2-m3 BAAI · text-classification Open weights 570 M 8 K ✓ apache-2.0 14.8 M 3.1 GB
10 mobilenetv3_small_100.lamb_in1k timm · image-classification Open weights 2.6 M — ✓ apache-2.0 12.7 M 0.5 GB
11 Kokoro-82M hexgrad · text-to-speech Open weights 82 M — ✓ apache-2.0 12.5 M 0.7 GB
12 nomic-embed-text-v1.5 nomic-ai · sentence-similarity Open weights 140 M 2 K ✓ apache-2.0 11.9 M 1.1 GB
13 Florence-2-base microsoft · image-text-to-text Open weights 230 M — ✓ mit 11.7 M 1.0 GB
14 multilingual-e5-small intfloat · sentence-similarity Open weights 120 M 512 ✓ mit 9.4 M 1.0 GB
15 Qwen3-Embedding-0.6B Qwen · feature-extraction Open weights 600 M 33 K ✓ apache-2.0 9.1 M 1.9 GB
16 paraphrase-multilingual-mpnet-base-v2 sentence-transformers · sentence-similarity Open weights 280 M 512 ✓ apache-2.0 9.1 M 1.8 GB
17 audio.cpp-gguf audio-cpp · text-to-speech Open weights — — other 8.9 M 1.6 GB
18 bge-base-en-v1.5 BAAI · feature-extraction Open weights 110 M 512 ✓ mit 8.3 M 1.0 GB
19 bge-large-en-v1.5 BAAI · feature-extraction Open weights 340 M 512 ✓ mit 8.2 M 2.0 GB
20 Gender-Classifier-Mini prithivMLmods · image-classification Open weights 93 M — ✓ apache-2.0 8.1 M 1.7 GB
21 clap-htsat-fused laion · audio-classification Open weights 150 M — ✓ apache-2.0 7.3 M 1.2 GB
22 multilingual-e5-large intfloat · feature-extraction Open weights 560 M 512 ✓ mit 7.1 M 3.0 GB
23 granite-embedding-small-english-r2 ibm-granite · feature-extraction Open weights 50 M 8 K ✓ apache-2.0 6.9 M 0.6 GB
24 Ornith-1.5-9B-GGUF ornith-ai · text-generation Open weights — — ✓ mit 5.8 M 6.9 GB
25 Unlimited-OCR baidu · image-text-to-text Open weights 3.3 B 33 K ✓ mit 5.4 M 15.7 GB
26 Qwen3.5-4B Qwen · image-text-to-text Open weights 4.7 B — ✓ apache-2.0 5.3 M 11.5 GB
27 whisper-large-v3-turbo openai · ASR Open weights 810 M — ✓ mit 5.2 M 2.4 GB
28 Qwen2.5-1.5B-Instruct Qwen · text-generation Open weights 1.5 B 33 K ✓ apache-2.0 5.0 M 4.1 GB
29 Ornith-1.0-9B-GGUF deepreinforce-ai · text-generation Open weights — — ✓ mit 4.9 M 6.7 GB
30 multilingual-e5-base intfloat · sentence-similarity Open weights 280 M 512 ✓ mit 4.9 M 1.8 GB
31 opt-125m facebook · text-generation Open weights 125 M 2 K other 4.7 M 0.8 GB
32 roberta-base-go_emotions SamLowe · text-classification Open weights 120 M 512 ✓ mit 4.7 M 1.1 GB
33 whisper-base openai · ASR Open weights 70 M — ✓ apache-2.0 4.6 M 0.8 GB
34 Qwen2.5-0.5B-Instruct Qwen · text-generation Open weights 490 M 33 K ✓ apache-2.0 4.5 M 1.7 GB
35 all-MiniLM-L6-v2 Xenova · feature-extraction Open weights 20 M 512 ✓ apache-2.0 4.5 M 0.5 GB
36 whisper-small openai · ASR Open weights 240 M — ✓ apache-2.0 4.4 M 1.6 GB
37 Qwen3-4B Qwen · text-generation Open weights 4.0 B 41 K ✓ apache-2.0 4.0 M 10.0 GB
38 Qwen3-VL-4B-Instruct Qwen · image-text-to-text Open weights 4.4 B — ✓ apache-2.0 3.7 M 10.9 GB
39 Qwen3.5-2B Qwen · image-text-to-text Open weights 2.3 B — ✓ apache-2.0 3.7 M 5.8 GB
40 Qwen3-1.7B Qwen · text-generation Open weights 2.0 B 41 K ✓ apache-2.0 3.7 M 5.3 GB
41 tf_efficientnetv2_s.in21k_ft_in1k timm · image-classification Open weights 20 M — ✓ apache-2.0 3.6 M 0.6 GB
42 indonesian-roberta-base-posp-tagger w11wo · token-classification Open weights 120 M 512 ✓ mit 3.6 M 1.1 GB
43 snowflake-arctic-embed-l-v2.0 Snowflake · sentence-similarity Open weights 570 M 8 K ✓ apache-2.0 3.6 M 3.1 GB
44 Qwen3.5-0.8B Qwen · image-text-to-text Open weights 870 M — ✓ apache-2.0 3.5 M 2.6 GB
45 OmniVoice k2-fsa · text-to-speech Open weights 610 M — unknown 3.5 M 4.2 GB
46 whisper-large-v3 openai · ASR Open weights 1.5 B — ✓ apache-2.0 3.5 M 10.9 GB
47 pythia-160m EleutherAI · text-generation Open weights 210 M 2 K ✓ apache-2.0 3.5 M 0.9 GB
48 Bangla-twoclass-Sentiment-Analyzer Arunavaonly · text-classification Open weights 280 M 512 ✓ mit 3.4 M 1.8 GB
49 finbert ProsusAI · text-classification Open weights 110 M 512 ✗ cc-by-nc-sa-4.0 3.3 M 1.0 GB
50 bge-small-zh-v1.5 BAAI · feature-extraction Open weights 20 M 512 ✓ mit 3.1 M 0.6 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.