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 |
|---|---|---|---|---|---|---|
| 951 | Qwen2.5-Math-7B-4bit | 7.8 B | 4 K | unknown | 168 K | from 7.8 GB |
| 952 | stable-diffusion-v1-1 | — | — | ⚠ creativeml-openrail-m | 168 K | from 3.5 GB |
| 953 | gpt-oss-20b-MXFP4-Q8 | 20.9 B | 131 K | ✓ apache-2.0 | 167 K | from 16.9 GB |
| 954 | Llama-3.2-3B-Instruct-GGUF | — | — | ⚠ llama3.2 | 167 K | from 2.3 GB |
| 955 | transformer-1.3B-100B | 1.4 B | 2 K | ✓ mit | 166 K | from 3.7 GB |
| 956 | DeepSeek-R1-0528 | 684.5 B | 164 K | ✓ mit | 165 K | from 860.6 GB |
| 957 | gpt2-medium | 380 M | — | ✓ mit | 165 K | from 2.2 GB |
| 958 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 164 K | from 10.4 GB |
| 959 | Parable-Granite-4.1-3B-Claude-Fable-5-GGUF | 3.0 B | 131 K | ✓ apache-2.0 | 164 K | from 3.3 GB |
| 960 | GLM-5.2-FP8 | 753.3 B | 1.0 M | ✓ mit | 164 K | from 944.7 GB |
| 961 | Qwen3-Coder-30B-A3B-Instruct-GPTQ-Int8 | 30.5 B | 262 K | ✓ apache-2.0 | 163 K | from 40.3 GB |
| 962 | Parable-Granite-4.1-8B-Claude-Fable-5-GGUF | 8.0 B | 131 K | ✓ apache-2.0 | 162 K | from 7.3 GB |
| 963 | Olmo-3-1025-7B | 7.3 B | 66 K | ✓ apache-2.0 | 160 K | from 17.7 GB |
| 964 | GLM-4.7-Flash-MLX-6bit | 29.9 B | 203 K | ✓ mit | 159 K | from 31.8 GB |
| 965 | gemma-2-27b-it-GGUF | 27.0 B | — | ⚠ gemma | 158 K | from 13.8 GB |
| 966 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 158 K | from 8.0 GB |
| 967 | pythia-410m | 510 M | 2 K | ✓ apache-2.0 | 158 K | from 1.6 GB |
| 968 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 157 K | from 8.5 GB |
| 969 | Mistral-7B-v0.1-GGUF | 7.0 B | 33 K | ✓ apache-2.0 | 157 K | from 4.5 GB |
| 970 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 155 K | from 10.4 GB |
| 971 | RealVisXL_V4.0 | 2.6 B | — | ⚠ openrail++ | 154 K | from 31.4 GB |
| 972 | Qwen2.5-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 154 K | from 8.5 GB |
| 973 | Ornith-1.5-35B-A3B-MLX-6bit | 34.7 B | — | unknown | 154 K | from 36.7 GB |
| 974 | Qwen3-Next-80B-A3B-Instruct | 81.3 B | 262 K | ✓ apache-2.0 | 154 K | from 191.6 GB |
| 975 | Qwen3-4B-Instruct-2507-unsloth-bnb-4bit | 4.0 B | 262 K | ✓ apache-2.0 | 153 K | from 5.0 GB |
| 976 | Z-Image-Turbo | 6.2 B | — | ✓ apache-2.0 | 152 K | from 37.5 GB |
| 977 | Inkling-Small-DSpark-Preview | 1.4 B | 1.0 M | unknown | 151 K | from 2.7 GB |
| 978 | DeepSeek-V4-Pro-0813 | 1,650.5 B | 1.0 M | ✓ mit | 151 K | from 1,230.1 GB |
| 979 | Qwen3-14B-unsloth-bnb-4bit | 15.2 B | 41 K | ✓ apache-2.0 | 151 K | from 15.0 GB |
| 980 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 150 K | from 6.2 GB |
| 981 | opus-mt-es-en | — | 512 | ✓ apache-2.0 | 150 K | — |
| 982 | Qwen3.6-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 150 K | from 5.6 GB |
| 983 | LFM2.5-230M-Base | 230 M | 128 K | other | 149 K | from 1.0 GB |
| 984 | DeepSeek-V4-Flash-DSpark | 165.3 B | 1.0 M | ✓ mit | 149 K | from 208.9 GB |
| 985 | Qwen2.5-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 149 K | from 18.4 GB |
| 986 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 147 K | from 1.2 GB |
| 987 | DeepSeek-V2-Lite | 15.7 B | 164 K | other | 147 K | from 37.4 GB |
| 988 | SDXL-Lightning | — | — | ⚠ openrail++ | 146 K | from 54.9 GB |
| 989 | Qwen3.8-27B-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 145 K | from 5.6 GB |
| 990 | Qwen2.5-Coder-0.5B-Instruct | 494 M | 33 K | ✓ apache-2.0 | 145 K | from 1.7 GB |
| 991 | MiMo-V2.5 | 310.8 B | 1.0 M | ✓ mit | 144 K | from 394.4 GB |
| 992 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 143 K | from 0.9 GB |
| 993 | Kimi-Linear-48B-A3B-Instruct | 49.1 B | — | ✓ mit | 143 K | from 115.9 GB |
| 994 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 143 K | from 19.4 GB |
| 995 | SmolLM-135M-Instruct-FP32 | 135 M | 2 K | unknown | 143 K | from 1.1 GB |
| 996 | Llama-4-Scout-17B-16E-Instruct | 108.6 B | — | other | 143 K | from 255.8 GB |
| 997 | Qwen3-Coder-Next-GGUF | — | — | ✓ apache-2.0 | 141 K | from 47.4 GB |
| 998 | gpt-oss-120b-Eagle3-short-context | 787 M | 131 K | other | 141 K | from 2.8 GB |
| 999 | Mellum2-12B-A2.5B-Instruct-GGUF-Q8_0 | — | — | ✓ apache-2.0 | 141 K | from 14.7 GB |
| 1000 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 140 K | from 0.9 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.