1,226 models · 1,226 open weights · 200 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 | Min VRAM |
|---|---|---|---|---|---|---|
| 201 | wav2vec2-base-vi-vlsp2020 | — | — | ✗ cc-by-nc-4.0 | 1.4 M | — |
| 202 | chandra-ocr-2 | 5.3 B | — | ⚠ openrail | 1.4 M | from 12.9 GB |
| 203 | Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF | 27.0 B | — | other | 1.4 M | from 4.6 GB |
| 204 | Qwen2.5-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 1.4 M | from 13.7 GB |
| 205 | Qwen3-VL-8B-Instruct-FP8 | 8.8 B | — | ✓ apache-2.0 | 1.4 M | from 13.5 GB |
| 206 | DeepSeek-V3 | 684.5 B | 164 K | unknown | 1.3 M | from 860.6 GB |
| 207 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.3 M | from 5.2 GB |
| 208 | NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 | 18.2 B | 262 K | other | 1.3 M | from 24.5 GB |
| 209 | gender-classification | 90 M | — | unknown | 1.3 M | from 0.9 GB |
| 210 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 1.3 M | from 6.9 GB |
| 211 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | 31.6 B | 262 K | other | 1.3 M | from 74.7 GB |
| 212 | Dirk-Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.3 M | from 14.2 GB |
| 213 | DeepSeek-R1-Distill-Qwen-1.5B | 1.8 B | 131 K | ✓ mit | 1.3 M | from 4.7 GB |
| 214 | paraphrase-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 1.3 M | from 1.0 GB |
| 215 | ast-finetuned-audioset-10-10-0.4593 | 90 M | — | ✓ bsd-3-clause | 1.3 M | from 0.9 GB |
| 216 | Qwen3-VL-Embedding-8B | 8.1 B | — | ✓ apache-2.0 | 1.3 M | from 19.6 GB |
| 217 | table-transformer-structure-recognition | 30 M | 1 K | ✓ mit | 1.3 M | from 0.6 GB |
| 218 | wav2vec2-xls-r-300m-hebrew | 320 M | — | unknown | 1.3 M | from 1.9 GB |
| 219 | wav2vec2-large-xlsr-53-persian | — | — | ✓ apache-2.0 | 1.3 M | — |
| 220 | Qwen2.5-32B-Instruct | 32.8 B | 33 K | ✓ apache-2.0 | 1.3 M | from 77.5 GB |
| 221 | Qwen3.6-27B-FP8 | 27.8 B | — | ✓ apache-2.0 | 1.3 M | from 38.6 GB |
| 222 | MiniCPM5-2B | 2.5 B | 131 K | ✓ apache-2.0 | 1.3 M | from 6.4 GB |
| 223 | Qwen3.5-35B-A3B-FP8 | 36.0 B | — | ✓ apache-2.0 | 1.2 M | from 47.1 GB |
| 224 | Qwen3-ASR-1.7B | 2.4 B | — | ✓ apache-2.0 | 1.2 M | from 6.0 GB |
| 225 | wav2vec2-xls-r-parlaspeech-hr | 320 M | — | unknown | 1.2 M | from 1.9 GB |
| 226 | turn-detector | 130 M | 8 K | other | 1.2 M | from 1.1 GB |
| 227 | Qwen3.6-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 1.2 M | from 11.6 GB |
| 228 | Qwen3.5-4B-GGUF | — | — | ✓ apache-2.0 | 1.2 M | from 2.8 GB |
| 229 | Qwen3.8-27B-GSQ-RCO-GGUF | — | — | ✓ apache-2.0 | 1.2 M | from 1.5 GB |
| 230 | faster-whisper-large-v3 | — | — | ✓ mit | 1.2 M | — |
| 231 | Qwen2.5-0.5B | 490 M | 33 K | ✓ apache-2.0 | 1.2 M | from 1.7 GB |
| 232 | nb-wav2vec2-1b-bokmaal-v2 | 960 M | — | ✓ apache-2.0 | 1.2 M | from 4.9 GB |
| 233 | bart-large-cnn | 410 M | 1 K | ✓ mit | 1.2 M | from 2.3 GB |
| 234 | faster-whisper-medium | — | — | ✓ mit | 1.2 M | — |
| 235 | Qwen3.8-35B-A3B-Distill-GGUF | 35.0 B | — | ✓ apache-2.0 | 1.2 M | from 19.6 GB |
| 236 | Ornith-1.5-397B-GGUF | — | — | ✓ mit | 1.2 M | from 1.5 GB |
| 237 | Wav2Vec2-large-xlsr-hindi | 316 M | — | unknown | 1.2 M | from 1.9 GB |
| 238 | GEV-26B-Decide | 25.8 B | — | ✓ apache-2.0 | 1.2 M | from 61.4 GB |
| 239 | opus-mt-nl-en | — | 512 | ✓ apache-2.0 | 1.2 M | — |
| 240 | kokoro-inno-clone-tuner | 9.7 M | — | ✓ apache-2.0 | 1.2 M | from 0.5 GB |
| 241 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 1.2 M | from 0.9 GB |
| 242 | bert-base-NER | 110 M | 512 | ✓ mit | 1.1 M | from 1.0 GB |
| 243 | faster-whisper-small.en | — | — | ✓ mit | 1.1 M | — |
| 244 | nemotron-3.5-asr-streaming-0.6b | 640 M | — | other | 1.1 M | from 1.4 GB |
| 245 | stable-diffusion-v1-5 | 860 M | — | ⚠ creativeml-openrail-m | 1.1 M | from 26.6 GB |
| 246 | cohere-transcribe-03-2026-gguf | 2.1 B | — | ✓ apache-2.0 | 1.1 M | from 2.5 GB |
| 247 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 1.1 M | from 0.6 GB |
| 248 | gemma-4-26B-A4B-it-FP8-dynamic | 26.5 B | — | ✓ apache-2.0 | 1.1 M | from 36.0 GB |
| 249 | Qwen3-Coder-30B-A3B-Instruct-FP8 | 30.5 B | 262 K | ✓ apache-2.0 | 1.1 M | from 39.4 GB |
| 250 | Ornith-1.5-35B-A3B-NVFP4 | 19.5 B | — | ✓ mit | 1.1 M | from 29.2 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.