1,213 models · 1,213 open weights · 210 API-only · refreshed nightly
Open-weights models
Models whose weights are published on Hugging Face — download them and run them on your own hardware. Many are also served by hosted providers; those carry an "Also via API" badge with live prices.
| # | Model | Params | Context | Commercial use | 30d | On Mac M3 · 24 GB |
|---|---|---|---|---|---|---|
| 251 | Qwen2.5-32B-Instruct-GGUF | 32.0 B | 33 K | ✓ apache-2.0 | 676 K | 15.2 GB |
| 252 | wav2vec2-xls-r-300m-bengali | 300 M | — | ✓ apache-2.0 | 676 K | 1.2 GB |
| 253 | nsfw-image-detection-384 | 5.6 M | — | ✓ apache-2.0 | 674 K | 0.5 GB |
| 254 | whisper-large-v3-turbo-gguf | 810 M | — | ✓ mit | 671 K | 1.2 GB |
| 255 | Diplodocus-preview-GGUF | — | — | ✓ apache-2.0 | 663 K | 0.5 GB |
| 256 | whisper-medium-gguf | 760 M | — | ✓ apache-2.0 | 662 K | 1.2 GB |
| 257 | noobai-XL-1.1 | 2.6 B | — | other | 662 K | 16.3 GB |
| 258 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 661 K | 0.6 GB |
| 259 | convnext_tiny.in12k_ft_in1k | 30 M | — | ✓ apache-2.0 | 651 K | 0.6 GB |
| 260 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 650 K | 0.7 GB |
| 261 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 649 K | 1.3 GB |
| 262 | Qwen3-ASR-0.6B | 940 M | — | ✓ apache-2.0 | 645 K | 2.7 GB |
| 263 | LFM2.5-24B-A2B-Uncensored-GGUF | 24.0 B | 131 K | other | 639 K | 4.1 GB |
| 264 | MiniCPM5-2B-DSpark | 324 M | 131 K | ✓ apache-2.0 | 631 K | 1.3 GB |
| 265 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 629 K | 4.5 GB |
| 266 | gpt-oss-20b-GGUF | — | 131 K | ✓ apache-2.0 | 624 K | 13.1 GB |
| 267 | MiniCPM-SALA-AWQ-8bit | 3.1 B | 524 K | ✓ apache-2.0 | 621 K | 12.7 GB |
| 268 | embeddinggemma-300m-ONNX | 300 M | 2 K | ⚠ gemma | 617 K | 1.2 GB |
| 269 | Qwen3-0.6B-Base | 600 M | 33 K | ✓ apache-2.0 | 612 K | 1.9 GB |
| 270 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 612 K | 2.1 GB |
| 271 | Qwen3-TTS-12Hz-1.7B-VoiceDesign | 1.9 B | — | ✓ apache-2.0 | 608 K | 5.8 GB |
| 272 | repvgg_a0.rvgg_in1k | 10 M | — | ✓ mit | 608 K | 0.5 GB |
| 273 | deepseek-v4-gguf | — | — | ✓ mit | 606 K | 4.7 GB |
| 274 | Spark-X2.6-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 606 K | 5.0 GB |
| 275 | DeepSeek-R1-Distill-Qwen-1.5B | 1.8 B | 131 K | ✓ mit | 600 K | 4.7 GB |
| 276 | wav2vec2-large-xlsr-mvc-swahili | 320 M | — | ✓ apache-2.0 | 600 K | 1.9 GB |
| 277 | bloomz-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 599 K | 1.8 GB |
| 278 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 599 K | 0.7 GB |
| 279 | wav2vec2-large-xls-r-300m-welsh | 300 M | — | ✓ apache-2.0 | 591 K | 1.2 GB |
| 280 | Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 590 K | 5.5 GB |
| 281 | nomic-embed-text-v1.5-GGUF | 140 M | 2 K | ✓ apache-2.0 | 587 K | 0.6 GB |
| 282 | Sage-A1.5-Q4_K_M-GGUF | — | — | ✓ apache-2.0 | 586 K | 1.5 GB |
| 283 | Juggernaut-XL-v9 | — | — | ⚠ creativeml-openrail-m | 579 K | 15.9 GB |
| 284 | Qwen3.8-4B-Distill-GGUF | — | — | ✓ apache-2.0 | 579 K | 3.6 GB |
| 285 | efficientnet_b0.ra_in1k | 10 M | — | ✓ apache-2.0 | 576 K | 0.5 GB |
| 286 | bert-base-multilingual-uncased-sentiment | 170 M | 512 | ✓ mit | 571 K | 1.3 GB |
| 287 | gte-large | 340 M | 512 | ✓ mit | 570 K | 1.3 GB |
| 288 | plamo-embedding-1b | 1.1 B | 4 K | ✓ apache-2.0 | 567 K | 3.0 GB |
| 289 | nemotron-3.5-asr-streaming-0.6b | 640 M | — | other | 560 K | 1.4 GB |
| 290 | sanoTTS | — | — | gpl-3.0 | 559 K | 0.5 GB |
| 291 | Spark-X2.5-4B-Heretic-jp-gguf | 4.0 B | — | ✓ apache-2.0 | 556 K | 4.0 GB |
| 292 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 541 K | 4.1 GB |
| 293 | Qwen3.8-9B-Distill-GGUF | — | — | ✓ apache-2.0 | 540 K | 6.9 GB |
| 294 | parakeet-tdt-0.6b-v3 | 630 M | — | ✓ cc-by-4.0 | 540 K | 1.4 GB |
| 295 | Llama-3.2-3B-Instruct | 3.2 B | 131 K | ⚠ llama3.2 | 536 K | 8.0 GB |
| 296 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 534 K | 0.6 GB |
| 297 | Qwen3.8-27B-OBLITERATED | 27.8 B | — | ✓ apache-2.0 | 533 K | 5.7 GB |
| 298 | Qwen3-4B-GGUF | — | 41 K | ✓ apache-2.0 | 532 K | 2.3 GB |
| 299 | snowflake-arctic-embed-xs | 20 M | 512 | unknown | 531 K | 0.6 GB |
| 300 | embeddinggemma-2-ONNX | 744 M | — | ✓ apache-2.0 | 531 K | 2.2 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.