1,222 models · 1,222 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 |
|---|---|---|---|---|---|---|
| 701 | bertweet-base-sentiment-analysis | — | 128 | unknown | 267 K | — |
| 702 | taardis-27b-full-ternary | 27.0 B | — | ✓ apache-2.0 | 267 K | from 12.4 GB |
| 703 | gliner2.5-multi-v1 | 287 M | — | ✓ apache-2.0 | 266 K | from 1.8 GB |
| 704 | Step-3.5-Flash | 199.4 B | 262 K | ✓ apache-2.0 | 265 K | from 469.1 GB |
| 705 | Qwen3-30B-A3B-GGUF | — | — | ✓ apache-2.0 | 265 K | from 20.9 GB |
| 706 | Ornith-1.0-397B-FP8 | 396.8 B | — | ✓ mit | 265 K | from 505.7 GB |
| 707 | Ornith-1.5-35B-A3B | 36.0 B | — | ✓ mit | 264 K | from 85.0 GB |
| 708 | ner-english-fast | — | — | unknown | 259 K | — |
| 709 | Qwen3.8-4B-Distill | 4.7 B | — | ✓ apache-2.0 | 258 K | from 11.5 GB |
| 710 | rubert-tiny-toxicity | 10 M | 512 | ✓ mit | 258 K | from 0.6 GB |
| 711 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 257 K | from 4.5 GB |
| 712 | resnet-50 | 30 M | — | ✓ apache-2.0 | 255 K | from 0.6 GB |
| 713 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 430 M | 512 | ✓ apache-2.0 | 255 K | from 1.5 GB |
| 714 | Qwen3-14B-GGUF | — | — | ✓ apache-2.0 | 253 K | from 10.4 GB |
| 715 | FinancialBERT-Sentiment-Analysis | — | 512 | unknown | 253 K | — |
| 716 | roberta-large-mnli | 360 M | 512 | ✓ mit | 253 K | from 2.1 GB |
| 717 | Qwen3-8B-64k-Context-2X-Josiefied-Uncensored | 8.2 B | 66 K | unknown | 253 K | from 19.7 GB |
| 718 | opus-mt-en-ru | — | 512 | ✓ apache-2.0 | 253 K | — |
| 719 | droplychee-1.0-27b | 27.8 B | — | ✓ apache-2.0 | 252 K | from 65.8 GB |
| 720 | Llama-3.3-70B-Instruct | 70.6 B | — | ⚠ llama3.3 | 252 K | from 166.3 GB |
| 721 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 251 K | from 7.5 GB |
| 722 | gemma-2-2b-it | 2.6 B | — | ⚠ gemma | 251 K | from 6.6 GB |
| 723 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 250 K | from 1.7 GB |
| 724 | Qwen3.8-27B-DSpark | 1.9 B | 262 K | other | 250 K | from 4.9 GB |
| 725 | Qwen2.5-Coder-7B-Instruct-4bit | 1.2 B | 33 K | ✓ apache-2.0 | 249 K | from 5.4 GB |
| 726 | gpt-neox-20b | 20.7 B | 2 K | ✓ apache-2.0 | 249 K | from 49.0 GB |
| 727 | vit_base_patch8_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 248 K | from 0.9 GB |
| 728 | Hy3-GGUF | — | — | ✓ apache-2.0 | 248 K | from 52.9 GB |
| 729 | fairface_age_image_detection | 90 M | — | ✓ apache-2.0 | 248 K | from 2.4 GB |
| 730 | Kwaipilot_KAT-Coder-V2.5-Dev-GGUF | — | — | ✓ apache-2.0 | 248 K | from 11.3 GB |
| 731 | nllb-200-3.3B | 3.3 B | 1 K | ✗ cc-by-nc-4.0 | 248 K | from 8.3 GB |
| 732 | EXAONE-3.5-7.8B-Instruct | 7.8 B | 33 K | other | 248 K | from 36.1 GB |
| 733 | llama-3-8b-Instruct-bnb-4bit | 8.2 B | 8 K | ⚠ llama3 | 247 K | from 8.0 GB |
| 734 | Ornith-1.5-9B-MLX-4bit | 9.0 B | — | unknown | 247 K | from 7.4 GB |
| 735 | NVIDIA-Nemotron-3-Nano-30B-A3B-FP8 | 31.6 B | 262 K | other | 246 K | from 41.2 GB |
| 736 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 246 K | from 9.5 GB |
| 737 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | from 3.0 GB |
| 738 | Mistral-Small-3.1-24B-Instruct-2503 | 24.0 B | — | ✓ apache-2.0 | 246 K | from 109.8 GB |
| 739 | DeepSeek-V4-Flash-GGUF | — | — | ✓ mit | 245 K | from 44.1 GB |
| 740 | Qwen3.8-Flash-Next-NVFP4-GPTQ-Strata | 180.0 B | — | other | 245 K | from 83.8 GB |
| 741 | plant-identity | 90 M | — | unknown | 245 K | from 0.9 GB |
| 742 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 245 K | from 8.5 GB |
| 743 | OTel-LLM-8B-A1B-IT | — | 128 K | ✓ apache-2.0 | 245 K | — |
| 744 | RMBG-1.4 | 40 M | — | other | 245 K | from 0.7 GB |
| 745 | convnext_small.fb_in22k_ft_in1k_384 | 50 M | — | ✓ apache-2.0 | 245 K | from 0.7 GB |
| 746 | Qwen_Qwen3-4B-GGUF | 4.0 B | 41 K | unknown | 244 K | from 2.8 GB |
| 747 | Z-Image-Lora | 6.2 B | — | ✓ apache-2.0 | 244 K | from 114.6 GB |
| 748 | mmarco-mMiniLMv2-L6-H384-v1 | — | 512 | unknown | 244 K | — |
| 749 | Qwen-Image-2.1 | 7.1 B | — | other | 243 K | from 38.0 GB |
| 750 | Ling-3.0-tiny-GGUF | — | 131 K | ✓ mit | 243 K | from 2.4 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.