1,058 models · refreshed nightly
Text generation models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 301 | mamba-130m-hf | 130 M | — | unknown | 281 K | from 1.1 GB |
| 302 | DeepSeek-V3.1 | 684.5 B | 164 K | ✓ mit | 278 K | from 860.6 GB |
| 303 | Llama-3.2-3B-Instruct-FP8-dynamic | 3.6 B | 131 K | ⚠ llama3.2 | 277 K | from 5.9 GB |
| 304 | Meta-Llama-3-8B | 8.0 B | — | ⚠ llama3 | 275 K | from 19.4 GB |
| 305 | MiniCPM5-2B-DSpark | 324 M | 131 K | ✓ apache-2.0 | 275 K | from 1.3 GB |
| 306 | Qwen3-14B-GGUF | — | — | unknown | 274 K | from 6.8 GB |
| 307 | gemma-4-31B-it-scotoma-2-GGUF | — | — | ✓ apache-2.0 | 274 K | from 13.8 GB |
| 308 | Qwen3-4B-GGUF | — | — | unknown | 272 K | from 2.3 GB |
| 309 | tiny_starcoder_py | 160 M | — | bigcode-openrail-m | 272 K | from 1.2 GB |
| 310 | Qwen2.5-Coder-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 272 K | from 3.8 GB |
| 311 | gpt-oss-20b-MXFP4-Q8 | 20.9 B | 131 K | ✓ apache-2.0 | 271 K | from 16.9 GB |
| 312 | DeepSeek-R1-Distill-Qwen-7B | 7.6 B | 131 K | ✓ mit | 271 K | from 18.4 GB |
| 313 | MiniMax-M2 | 228.7 B | 197 K | other | 271 K | from 288.0 GB |
| 314 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 271 K | from 10.4 GB |
| 315 | Qwen3-1.7B-GGUF | — | — | unknown | 270 K | from 1.5 GB |
| 316 | Qwen3-0.6B-FP8 | 750 M | 41 K | ✓ apache-2.0 | 270 K | from 1.8 GB |
| 317 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | — | — | other | 269 K | from 21.3 GB |
| 318 | Qwen3-8B-GGUF | — | — | unknown | 269 K | from 4.1 GB |
| 319 | Qwen3-4B-AWQ | 4.0 B | 41 K | ✓ apache-2.0 | 268 K | from 4.0 GB |
| 320 | taardis-27b-full-ternary | — | — | ✓ apache-2.0 | 268 K | from 8.4 GB |
| 321 | Qwen3-30B-A3B-GGUF | — | — | unknown | 266 K | from 12.9 GB |
| 322 | Qwen3-32B-GGUF | — | — | unknown | 266 K | from 14.1 GB |
| 323 | openai-gpt | 120 M | — | ✓ mit | 265 K | from 1.0 GB |
| 324 | Qwen3-30B-A3B-GGUF | — | — | ✓ apache-2.0 | 265 K | from 20.9 GB |
| 325 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 265 K | from 8.0 GB |
| 326 | Apodex-1.1-mini-GGUF | — | — | ✓ apache-2.0 | 264 K | from 10.2 GB |
| 327 | Llama-Guard-3-1B | 1.5 B | 131 K | ⚠ llama3.2 | 264 K | from 4.0 GB |
| 328 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 262 K | from 3.4 GB |
| 329 | Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 259 K | from 4.0 GB |
| 330 | Qwen2.5-Coder-7B-Instruct-4bit | 1.2 B | 33 K | ✓ apache-2.0 | 258 K | from 5.4 GB |
| 331 | EuroLLM-22B-Instruct-2512 | 22.6 B | 33 K | ✓ apache-2.0 | 257 K | from 53.7 GB |
| 332 | droplychee-1.0-27b | 27.8 B | — | ✓ apache-2.0 | 252 K | from 65.8 GB |
| 333 | DeepSeek-R1-0528 | 684.5 B | 164 K | ✓ mit | 252 K | from 860.6 GB |
| 334 | Qwen3-Coder-Next-FP8 | 79.7 B | 262 K | ✓ apache-2.0 | 250 K | from 100.9 GB |
| 335 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 250 K | from 19.4 GB |
| 336 | Hy3-GGUF | — | — | ✓ apache-2.0 | 248 K | from 52.9 GB |
| 337 | sarashina2.2-0.5b-instruct-v0.1 | 790 M | 8 K | ✓ mit | 248 K | from 2.4 GB |
| 338 | Qwen3.8-27B-NVFP4-MTP-GGUF | — | — | ✓ apache-2.0 | 248 K | from 36.9 GB |
| 339 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 247 K | from 4.5 GB |
| 340 | Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | — | — | ✓ apache-2.0 | 245 K | from 23.8 GB |
| 341 | DeepSeek-V4-Flash-GGUF | — | — | ✓ mit | 245 K | from 44.1 GB |
| 342 | OTel-LLM-8B-A1B-IT | — | 128 K | ✓ apache-2.0 | 245 K | — |
| 343 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 245 K | from 8.0 GB |
| 344 | gemma-4-31B-it-uncensored | 32.7 B | — | ✓ apache-2.0 | 244 K | from 74.2 GB |
| 345 | SmolLM2-1.7B | 1.7 B | 8 K | ✓ apache-2.0 | 243 K | from 4.5 GB |
| 346 | h2ovl-mississippi-800m | 830 M | — | ✓ apache-2.0 | 242 K | from 2.4 GB |
| 347 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark | 760 M | 1.0 M | other | 241 K | from 2.1 GB |
| 348 | llama-7b | 6.7 B | 2 K | other | 241 K | from 16.3 GB |
| 349 | pythia-410m | 510 M | 2 K | ✓ apache-2.0 | 241 K | from 1.6 GB |
| 350 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 240 K | from 12.1 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.