1,000 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 | Phi-3-vision-128k-instruct | 4.2 B | 131 K | ✓ mit | 231 K | from 10.2 GB |
| 302 | Nemotron-Labs-Diffusion-8B | 8.5 B | 262 K | other | 228 K | from 20.6 GB |
| 303 | TinyLLama-v0 | 0 M | 2 K | ✓ apache-2.0 | 226 K | from 0.5 GB |
| 304 | LFM2.5-1.2B-Instruct-GGUF | — | — | other | 226 K | from 1.3 GB |
| 305 | Qwen2.5-14B-bnb-4bit | 15.2 B | 131 K | ✓ apache-2.0 | 224 K | from 13.7 GB |
| 306 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 224 K | from 1.4 GB |
| 307 | Qwen3-4B-GGUF | — | — | unknown | 223 K | from 2.3 GB |
| 308 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 223 K | from 1.8 GB |
| 309 | gemma-4-12b-heretic-abliterated-GGUF | — | — | ✓ apache-2.0 | 219 K | from 0.7 GB |
| 310 | NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4 | 335.0 B | 262 K | other | 219 K | from 438.3 GB |
| 311 | lynx-instruct-30b | 30.5 B | 262 K | ✓ apache-2.0 | 218 K | from 72.3 GB |
| 312 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 217 K | from 12.6 GB |
| 313 | Meta-Llama-3.1-8B-FP8 | 8.0 B | 131 K | ⚠ llama3.1 | 216 K | from 11.7 GB |
| 314 | Mistral-7B-Instruct-v0.1 | 7.2 B | 33 K | ✓ apache-2.0 | 216 K | from 17.5 GB |
| 315 | DeepSeek-V3.2-Exp | 685.4 B | 164 K | ✓ mit | 214 K | from 861.7 GB |
| 316 | GLM-4.7-Flash-AWQ | 31.2 B | 203 K | ✓ mit | 214 K | from 26.9 GB |
| 317 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 213 K | from 4.5 GB |
| 318 | Mistral-7B-Instruct-v0.3-AWQ | 7.3 B | 33 K | ✓ apache-2.0 | 212 K | from 6.2 GB |
| 319 | GLM-4.7-Flash-MLX-8bit | 29.9 B | 203 K | ✓ mit | 209 K | from 40.0 GB |
| 320 | Llama-2-13b-chat-hf | 13.0 B | — | ⚠ llama2 | 207 K | from 31.1 GB |
| 321 | Meta-Llama-3.1-70B-Instruct-AWQ-INT4 | 70.6 B | 131 K | ⚠ llama3.1 | 204 K | from 54.8 GB |
| 322 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 203 K | from 12.1 GB |
| 323 | xflux_text_encoders | 4.8 B | — | ✓ apache-2.0 | 203 K | from 11.7 GB |
| 324 | DeepSeek-R1-0528 | 684.5 B | 164 K | ✓ mit | 202 K | from 860.6 GB |
| 325 | Dolphin-Mistral-24B-Venice-Edition | 24.0 B | — | ✓ apache-2.0 | 201 K | from 56.9 GB |
| 326 | Qwen2.5-Coder-1.5B | 1.5 B | 33 K | ✓ apache-2.0 | 200 K | from 4.1 GB |
| 327 | gemma-1.1-2b-it | 2.5 B | — | ⚠ gemma | 200 K | from 6.4 GB |
| 328 | DeepSeek-Coder-V2-Lite-Instruct-FP8 | 15.7 B | 164 K | other | 200 K | from 20.6 GB |
| 329 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 199 K | from 1.3 GB |
| 330 | Qwen3-Coder-Next-GGUF | — | — | ✓ apache-2.0 | 199 K | from 47.4 GB |
| 331 | Qwen1.5-0.5B-Chat | 620 M | 33 K | other | 199 K | from 2.0 GB |
| 332 | aya-expanse-8b-AWQ | 9.1 B | 8 K | gpl-3.0 | 198 K | from 10.5 GB |
| 333 | Qwen3-4B-Thinking-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 197 K | from 6.9 GB |
| 334 | Qwen2.5-Coder-32B-Instruct-GGUF | — | — | ✓ apache-2.0 | 197 K | from 9.1 GB |
| 335 | NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | 123.6 B | 262 K | other | 197 K | from 160.2 GB |
| 336 | PowerLM-3b | 3.5 B | 4 K | ✓ apache-2.0 | 195 K | from 16.5 GB |
| 337 | Kimi-K2.7-Code-NVFP4 | — | — | other | 194 K | from 655.2 GB |
| 338 | GLM-4.7-Flash-MLX-6bit | 29.9 B | 203 K | ✓ mit | 194 K | from 31.8 GB |
| 339 | Qwen1.5-MoE-A2.7B | 14.3 B | 8 K | other | 193 K | from 34.1 GB |
| 340 | OLMoE-1B-7B-0924 | 6.9 B | 4 K | ✓ apache-2.0 | 192 K | from 16.8 GB |
| 341 | talkie-1930-13b-it-hf | 13.3 B | 2 K | ✓ apache-2.0 | 191 K | from 31.7 GB |
| 342 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 191 K | from 0.9 GB |
| 343 | DialoGPT-medium | — | — | ✓ mit | 190 K | — |
| 344 | Qwen2.5-Coder-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 189 K | from 3.8 GB |
| 345 | Llama-3.2-3B-Instruct | 3.2 B | 131 K | ⚠ llama3.2 | 188 K | from 8.0 GB |
| 346 | gemma4-e4b-claims-comparison | 7.9 B | — | ⚠ gemma | 188 K | from 19.2 GB |
| 347 | Phi-mini-MoE-instruct | 7.7 B | 4 K | ✓ mit | 186 K | from 18.5 GB |
| 348 | Qwen3-0.6B-GGUF | — | — | unknown | 186 K | from 0.9 GB |
| 349 | Laguna-S-2.1-INT4 | — | — | unknown | 185 K | — |
| 350 | Laguna-S-2.1-GGUF | — | — | openmdw-1.1 | 185 K | from 37.6 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.