1,000 models · refreshed nightly
Models that run on RTX 4090 · 24 GB
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 | On RTX 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 501 | DeepSeek-R1-Distill-Qwen-7B | 7.6 B | 131 K | ✓ mit | 271 K | 18.4 GB |
| 502 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 271 K | 10.4 GB |
| 503 | CodonTransformer | 90 M | 4 K | ✓ apache-2.0 | 270 K | 0.9 GB |
| 504 | Qwen3-1.7B-GGUF | — | — | unknown | 270 K | 1.5 GB |
| 505 | Qwen3-0.6B-FP8 | 750 M | 41 K | ✓ apache-2.0 | 270 K | 1.8 GB |
| 506 | FLUX.1-dev-gguf | — | — | other | 269 K | 4.9 GB |
| 507 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | — | — | other | 269 K | 21.3 GB |
| 508 | Qwen3-8B-GGUF | — | — | unknown | 269 K | 4.1 GB |
| 509 | Qwen3-4B-AWQ | 4.0 B | 41 K | ✓ apache-2.0 | 268 K | 4.0 GB |
| 510 | taardis-27b-full-ternary | — | — | ✓ apache-2.0 | 268 K | 8.4 GB |
| 511 | Qwen3-30B-A3B-GGUF | — | — | unknown | 266 K | 12.9 GB |
| 512 | Qwen3-32B-GGUF | — | — | unknown | 266 K | 14.1 GB |
| 513 | openai-gpt | 120 M | — | ✓ mit | 265 K | 1.0 GB |
| 514 | Qwen3-30B-A3B-GGUF | — | — | ✓ apache-2.0 | 265 K | 20.9 GB |
| 515 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 265 K | 8.0 GB |
| 516 | Apodex-1.1-mini-GGUF | — | — | ✓ apache-2.0 | 264 K | 10.2 GB |
| 517 | Llama-Guard-3-1B | 1.5 B | 131 K | ⚠ llama3.2 | 264 K | 4.0 GB |
| 518 | xlm-roberta-base-ner-hrl | 280 M | 512 | ✓ afl-3.0 | 262 K | 1.8 GB |
| 519 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 262 K | 3.4 GB |
| 520 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 430 M | 512 | ✓ apache-2.0 | 262 K | 1.5 GB |
| 521 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 260 K | 0.9 GB |
| 522 | Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 259 K | 4.0 GB |
| 523 | Qwen2.5-Coder-7B-Instruct-4bit | 1.2 B | 33 K | ✓ apache-2.0 | 258 K | 5.4 GB |
| 524 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 258 K | 8.5 GB |
| 525 | convnextv2-base-22k-384 | 90 M | — | ✓ apache-2.0 | 253 K | 0.9 GB |
| 526 | bert-small-pii-detection | 30 M | 512 | ✓ apache-2.0 | 252 K | 0.6 GB |
| 527 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 251 K | 7.5 GB |
| 528 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 250 K | 19.4 GB |
| 529 | OpenMed-PII-SuperClinical-Small-44M-v1 | 140 M | 512 | ✓ apache-2.0 | 250 K | 1.1 GB |
| 530 | sarashina2.2-0.5b-instruct-v0.1 | 790 M | 8 K | ✓ mit | 248 K | 2.4 GB |
| 531 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 247 K | 4.5 GB |
| 532 | convnextv2_large.fcmae_ft_in22k_in1k_384 | 200 M | — | ✗ cc-by-nc-4.0 | 246 K | 1.4 GB |
| 533 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | 3.0 GB |
| 534 | Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | — | — | ✓ apache-2.0 | 245 K | 23.8 GB |
| 535 | plant-identity | 90 M | — | unknown | 245 K | 0.9 GB |
| 536 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 245 K | 8.0 GB |
| 537 | SmolLM2-1.7B | 1.7 B | 8 K | ✓ apache-2.0 | 243 K | 4.5 GB |
| 538 | h2ovl-mississippi-800m | 830 M | — | ✓ apache-2.0 | 242 K | 2.4 GB |
| 539 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark | 760 M | 1.0 M | other | 241 K | 2.1 GB |
| 540 | llama-7b | 6.7 B | 2 K | other | 241 K | 16.3 GB |
| 541 | convnext_femto.d1_in1k | 10 M | — | ✓ apache-2.0 | 241 K | 0.5 GB |
| 542 | pythia-410m | 510 M | 2 K | ✓ apache-2.0 | 241 K | 1.6 GB |
| 543 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 240 K | 12.1 GB |
| 544 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 239 K | 19.3 GB |
| 545 | Mellum2-12B-A2.5B-Instruct-GGUF-Q8_0 | — | — | ✓ apache-2.0 | 238 K | 14.7 GB |
| 546 | Laguna-XS-2.1-GGUF | — | — | openmdw-1.1 | 235 K | 22.8 GB |
| 547 | TinyStories-1M | 1.0 M | 2 K | unknown | 232 K | 0.5 GB |
| 548 | diffusiongemma-26B-A4B-it-NVFP4 | 14.4 B | — | ✓ apache-2.0 | 232 K | 23.4 GB |
| 549 | Mistral-Small-24B-Instruct-2501-AWQ | 23.6 B | 33 K | ✓ apache-2.0 | 232 K | 19.7 GB |
| 550 | h2ovl-mississippi-2b | 2.2 B | — | ✓ apache-2.0 | 230 K | 5.6 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.