1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Text generation models
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.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 301 | granite-3.3-2b-instruct | 2.5 B | 131 K | ✓ apache-2.0 | 233 K | from 6.5 GB |
| 302 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 233 K | from 47.2 GB |
| 303 | diffusiongemma-26B-A4B-it-NVFP4 | 14.4 B | — | ✓ apache-2.0 | 232 K | from 23.4 GB |
| 304 | h2ovl-mississippi-2b | 2.2 B | — | ✓ apache-2.0 | 230 K | from 5.6 GB |
| 305 | h2o-danube3-500m-chat | 514 M | 8 K | ✓ apache-2.0 | 229 K | from 1.7 GB |
| 306 | Llama-3.1-8B-Instruct-4bit | 1.3 B | 131 K | ⚠ llama3.1 | 228 K | from 5.7 GB |
| 307 | GaMS3-12B-Instruct | 11.8 B | 131 K | ⚠ gemma | 226 K | from 28.2 GB |
| 308 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 225 K | from 12.1 GB |
| 309 | TinyStories-1M | 1.0 M | 2 K | unknown | 224 K | from 0.5 GB |
| 310 | Qwen3-14B-Base | 14.8 B | 33 K | ✓ apache-2.0 | 224 K | from 35.2 GB |
| 311 | Qwen3-32B-AWQ | 32.8 B | 41 K | ✓ apache-2.0 | 222 K | from 26.7 GB |
| 312 | MiniMax-M2.5-NVFP4 | 116.4 B | 197 K | other | 222 K | from 171.8 GB |
| 313 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 221 K | from 19.3 GB |
| 314 | GLM-4.7-Flash-AWQ-4bit | 32.1 B | 203 K | ✓ mit | 221 K | from 27.5 GB |
| 315 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 220 K | from 17.7 GB |
| 316 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | 30.0 B | 262 K | other | 220 K | from 25.8 GB |
| 317 | orcarouter_GLM-5.3-Flash-Uncensored-GGUF | 321.3 B | — | ✓ mit | 220 K | from 49.9 GB |
| 318 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 220 K | from 1.8 GB |
| 319 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 220 K | from 1.3 GB |
| 320 | automotive | 34.7 B | — | ✓ apache-2.0 | 219 K | from 29.0 GB |
| 321 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 218 K | from 5.8 GB |
| 322 | Llama-3.1-Nemotron-Nano-8B-v1 | 8.0 B | 131 K | other | 218 K | from 19.4 GB |
| 323 | Ornith-1.5-9B-MLX-6bit | 9.0 B | — | unknown | 218 K | from 9.8 GB |
| 324 | SmolLM2-360M-Instruct | 360 M | 8 K | ✓ apache-2.0 | 218 K | from 1.4 GB |
| 325 | sarvam-30b | 32.2 B | 131 K | ✓ apache-2.0 | 217 K | from 146.8 GB |
| 326 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 216 K | from 13.7 GB |
| 327 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 216 K | from 12.6 GB |
| 328 | TinyLLama-v0 | <0.1 M | 2 K | ✓ apache-2.0 | 215 K | from 0.5 GB |
| 329 | qwen3-4b-base-dapo-v4 | 4.0 B | 33 K | ✓ apache-2.0 | 215 K | from 10.0 GB |
| 330 | SmolLM3-3B-Base | 3.1 B | 66 K | ✓ apache-2.0 | 213 K | from 7.7 GB |
| 331 | Parable-Qwen3-4B-Claude-Fable-5-GGUF | 4.0 B | 41 K | ✓ apache-2.0 | 213 K | from 3.8 GB |
| 332 | Parable-Qwen3-8B-Claude-Fable-5-GGUF | 8.0 B | 41 K | ✓ apache-2.0 | 212 K | from 7.2 GB |
| 333 | OTel-LLM-27B-IT | 27.0 B | — | ✓ apache-2.0 | 212 K | from 64.0 GB |
| 334 | MiniCPM5-2B-MLX | 2.5 B | 131 K | ✓ apache-2.0 | 212 K | from 2.4 GB |
| 335 | wildguard | 7.3 B | — | ✓ apache-2.0 | 211 K | from 17.5 GB |
| 336 | Qwen3Guard-Gen-0.6B | 750 M | 33 K | ✓ apache-2.0 | 211 K | from 2.3 GB |
| 337 | Ornith-1.0-35B-AEON-Ultimate-Uncensored-BF16 | 35.1 B | — | ✓ mit | 211 K | from 83.0 GB |
| 338 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 211 K | from 16.3 GB |
| 339 | Qwen3-30B-A3B-GPTQ-Int4 | 30.5 B | 41 K | ✓ apache-2.0 | 208 K | from 23.7 GB |
| 340 | DeepSeek-R1-Distill-Llama-70B-GGUF | — | 131 K | ⚠ llama3.3 | 208 K | from 29.5 GB |
| 341 | Bielik-11B-v3.0-Instruct-awq | 11.3 B | 33 K | ✓ apache-2.0 | 208 K | from 9.0 GB |
| 342 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 208 K | from 1.4 GB |
| 343 | Mistral-7B-Instruct-v0.3-AWQ | 7.3 B | 33 K | ✓ apache-2.0 | 208 K | from 6.2 GB |
| 344 | The_GuageLLM_23M | 20 M | — | ✓ apache-2.0 | 207 K | from 0.6 GB |
| 345 | DeepSeek-V4.1-Flash-1017-Maya-GGUF | 763.2 B | — | ✓ mit | 207 K | from 203.7 GB |
| 346 | Bonsai-27B-gguf | — | — | ✓ apache-2.0 | 207 K | from 1.2 GB |
| 347 | Qwen3Guard-Gen-4B | 4.4 B | 33 K | ✓ apache-2.0 | 207 K | from 10.9 GB |
| 348 | Qwen2.5-Coder-1.5B-Instruct-GGUF | 1.5 B | 33 K | ✓ apache-2.0 | 206 K | from 1.6 GB |
| 349 | gemma-3-1b-it | 1.0 B | — | ⚠ gemma | 206 K | from 2.8 GB |
| 350 | Mistral-7B-Instruct-v0.2-AWQ | 7.2 B | 33 K | ✓ apache-2.0 | 205 K | from 6.2 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.