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 |
|---|---|---|---|---|---|---|
| 351 | llava-onevision-qwen2-7b-ov | 8.0 B | 33 K | ✓ apache-2.0 | 185 K | from 19.4 GB |
| 352 | Qwen2.5-3B-Instruct-GGUF | — | — | other | 185 K | from 2.0 GB |
| 353 | Qwen3-235B-A22B-GGUF | — | 41 K | ✓ apache-2.0 | 184 K | from 55.2 GB |
| 354 | Qwen3-14B-GGUF | — | — | unknown | 184 K | from 6.8 GB |
| 355 | Qwen3-8B | 8.2 B | 41 K | ✓ apache-2.0 | 183 K | from 19.7 GB |
| 356 | openai-gpt | 120 M | — | ✓ mit | 183 K | from 1.0 GB |
| 357 | Qwen3-4B-unsloth-bnb-4bit | 4.1 B | 41 K | ✓ apache-2.0 | 183 K | from 5.0 GB |
| 358 | Kimi-K2-Instruct | 1,026.5 B | 131 K | other | 181 K | from 1,286.6 GB |
| 359 | Qwen3-14B-unsloth-bnb-4bit | 15.2 B | 41 K | ✓ apache-2.0 | 181 K | from 15.0 GB |
| 360 | Kimi-K2.5 | 1,026.4 B | — | other | 180 K | from 877.8 GB |
| 361 | Qwen2.5-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 180 K | from 3.6 GB |
| 362 | GLM-5-NVFP4 | 435.2 B | 203 K | ✓ mit | 180 K | from 594.6 GB |
| 363 | Qwen3-8B-GGUF | — | — | unknown | 180 K | from 4.1 GB |
| 364 | Llama-3_3-Nemotron-Super-49B-v1 | 49.9 B | 131 K | other | 179 K | from 117.7 GB |
| 365 | LLaMmlein_1B_prerelease | 1.1 B | 2 K | other | 179 K | from 5.5 GB |
| 366 | Qwen3-1.7B-GGUF | — | — | unknown | 178 K | from 1.5 GB |
| 367 | Phi-3-mini-4k-instruct-gptq-4bit | 3.8 B | 4 K | unknown | 178 K | from 3.6 GB |
| 368 | Qwen3-32B-GGUF | — | — | unknown | 177 K | from 14.1 GB |
| 369 | Qwen3-30B-A3B-GGUF | — | — | unknown | 177 K | from 12.9 GB |
| 370 | Qwen3-Coder-Next-NVFP4-GB10 | — | 262 K | ✓ apache-2.0 | 176 K | from 50.9 GB |
| 371 | starcoder2-3b | 3.0 B | 16 K | bigcode-openrail-m | 176 K | from 14.3 GB |
| 372 | Qwen3-30B-A3B-Thinking-2507-AWQ-4bit | 5.3 B | 262 K | ✓ apache-2.0 | 173 K | from 21.2 GB |
| 373 | avibe | 7.9 B | 33 K | ✓ apache-2.0 | 173 K | from 19.1 GB |
| 374 | Qwen3-235B-A22B-NVFP4 | 132.8 B | 41 K | ✓ apache-2.0 | 173 K | from 168.0 GB |
| 375 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 173 K | from 8.0 GB |
| 376 | Qwen2.5-0.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 172 K | from 1.0 GB |
| 377 | NVIDIA-Nemotron-Nano-9B-v2-FP8 | 8.9 B | 131 K | other | 171 K | from 13.1 GB |
| 378 | Qwen3-30B-A3B-FP8 | 30.5 B | 41 K | ✓ apache-2.0 | 171 K | from 40.8 GB |
| 379 | Nemotron-Mini-4B-Instruct | — | 4 K | other | 170 K | — |
| 380 | granite-4.1-3b-GGUF | — | — | ✓ apache-2.0 | 170 K | from 2.0 GB |
| 381 | Qwen3-14B-GPTQ-Int4 | 14.8 B | 41 K | ✓ apache-2.0 | 170 K | from 13.7 GB |
| 382 | LFM2.5-8B-A1B | 8.5 B | 128 K | other | 170 K | from 20.4 GB |
| 383 | falcon-mamba-7b | 7.3 B | — | other | 170 K | from 17.6 GB |
| 384 | Qwen2.5-7B-Instruct-bnb-4bit | 7.8 B | 33 K | ✓ apache-2.0 | 170 K | from 7.8 GB |
| 385 | TinyLlama-1.1B-Chat-v0.3-AWQ | 1.1 B | 2 K | ✓ apache-2.0 | 169 K | from 1.5 GB |
| 386 | Meta-Llama-3-8B-Instruct | 8.0 B | 8 K | other | 169 K | from 19.4 GB |
| 387 | DeepSeek-V3.2-AWQ | 685.4 B | 164 K | ✓ mit | 168 K | from 501.4 GB |
| 388 | NVIDIA-Nemotron-3-Super-120B-A12B-AWQ-4bit | 127.2 B | 262 K | other | 168 K | from 108.3 GB |
| 389 | Gemma-4-26B-A4B-it-NVFP4 | 15.1 B | — | ✓ apache-2.0 | 168 K | from 20.8 GB |
| 390 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 167 K | from 8.0 GB |
| 391 | Qwen3-30B-A3B-GPTQ-Int4 | 30.5 B | 41 K | ✓ apache-2.0 | 167 K | from 23.7 GB |
| 392 | GLM-4.5-Air-FP8 | 110.5 B | 131 K | ✓ mit | 167 K | from 140.9 GB |
| 393 | Agents-A1-4B | 4.5 B | — | ✓ apache-2.0 | 167 K | from 11.2 GB |
| 394 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 167 K | from 4.1 GB |
| 395 | RnJ-1-Instruct-FP8 | 8.8 B | 33 K | ⚠ gemma | 164 K | from 15.0 GB |
| 396 | Qwen3-235B-A22B-FP8 | 235.1 B | 41 K | ✓ apache-2.0 | 163 K | from 298.7 GB |
| 397 | Qwen3.5-122B-A10B-NVFP4 | 64.4 B | — | ✓ apache-2.0 | 162 K | from 101.3 GB |
| 398 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 162 K | from 1.2 GB |
| 399 | Phi-3.5-MoE-instruct | 41.9 B | 131 K | ✓ mit | 161 K | from 98.9 GB |
| 400 | Qwen3-4B-Instruct-2507-NVFP4 | 2.8 B | 262 K | ✓ apache-2.0 | 161 K | from 4.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.