1,058 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 |
|---|---|---|---|---|---|---|
| 301 | RMBG-2.0 | 220 M | — | other | 622 K | 1.5 GB |
| 302 | MiniCPM-SALA-AWQ-8bit | 3.1 B | 524 K | ✓ apache-2.0 | 616 K | 12.7 GB |
| 303 | gte-large | 340 M | 512 | ✓ mit | 616 K | 1.3 GB |
| 304 | SmolLM3-3B-Base | 3.1 B | 66 K | ✓ apache-2.0 | 615 K | 7.7 GB |
| 305 | SmolLM3-3B | 3.1 B | 66 K | ✓ apache-2.0 | 614 K | 7.7 GB |
| 306 | EXAONE-3.5-7.8B-Instruct-AWQ | 7.8 B | 33 K | other | 614 K | 7.5 GB |
| 307 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 611 K | 3.0 GB |
| 308 | repvgg_a0.rvgg_in1k | 10 M | — | ✓ mit | 606 K | 0.5 GB |
| 309 | VieNeu-TTS-v3-Turbo | 130 M | 1 K | ✓ apache-2.0 | 605 K | 1.1 GB |
| 310 | Qwen2.5-Coder-3B-Instruct | 3.1 B | 33 K | other | 604 K | 7.8 GB |
| 311 | Qwen2-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 601 K | 4.1 GB |
| 312 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 599 K | 0.7 GB |
| 313 | Qwen3-ASR-0.6B | 940 M | — | ✓ apache-2.0 | 598 K | 2.7 GB |
| 314 | detr-resnet-50 | 40 M | 1 K | ✓ apache-2.0 | 591 K | 0.7 GB |
| 315 | Qwen3-Reranker-4B-W4A16-G128 | 4.1 B | 41 K | ✓ apache-2.0 | 586 K | 4.0 GB |
| 316 | LFM2.5-230M-GGUF | — | — | other | 586 K | 0.7 GB |
| 317 | Parable-Qwen3-8B-Claude-Fable-5-GGUF | — | — | ✓ apache-2.0 | 583 K | 6.0 GB |
| 318 | parakeet-tdt-0.6b-v3 | 630 M | — | ✓ cc-by-4.0 | 577 K | 1.4 GB |
| 319 | convnext_tiny.in12k_ft_in1k | 30 M | — | ✓ apache-2.0 | 577 K | 0.6 GB |
| 320 | table-transformer-detection | 30 M | 1 K | ✓ mit | 576 K | 0.6 GB |
| 321 | parakeet-tdt-0.6b-v3-gguf | — | — | ✓ cc-by-4.0 | 575 K | 1.0 GB |
| 322 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 575 K | 1.3 GB |
| 323 | SmolLM-1.7B-Instruct-quantized.w4a16 | 1.8 B | 2 K | ✓ apache-2.0 | 571 K | 2.7 GB |
| 324 | LFM2.5-8B-A1B-GGUF | — | — | other | 571 K | 5.8 GB |
| 325 | Qwen2.5-Coder-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 567 K | 4.1 GB |
| 326 | wav2vec2-large-xls-r-300m-welsh | 300 M | — | ✓ apache-2.0 | 567 K | 1.2 GB |
| 327 | bge-reranker-v2.5-gemma2-lightweight-gptq | 9.2 B | 8 K | unknown | 563 K | 8.7 GB |
| 328 | e5-small-v2 | 30 M | 512 | ✓ mit | 558 K | 0.7 GB |
| 329 | xlm-roberta-base-language-detection | 280 M | 512 | ✓ mit | 557 K | 1.8 GB |
| 330 | rtdetr_v2_r18vd | 20 M | — | ✓ apache-2.0 | 557 K | 0.6 GB |
| 331 | phi-2 | 2.8 B | 2 K | ✓ mit | 556 K | 7.0 GB |
| 332 | wav2vec2-xls-r-300m-cv7-turkish | 300 M | — | ✓ cc-by-4.0 | 556 K | 1.2 GB |
| 333 | inclusively-classification | 110 M | 512 | ✗ cc-by-nc-sa-4.0 | 552 K | 1.0 GB |
| 334 | paraphrase-albert-small-v2 | 10 M | 512 | ✓ apache-2.0 | 551 K | 0.6 GB |
| 335 | Ornith-1.5-9B | 9.7 B | — | ✓ mit | 546 K | 23.2 GB |
| 336 | macbert4csc-base-chinese | 100 M | 512 | ✓ apache-2.0 | 543 K | 1.0 GB |
| 337 | gpt-oss-20b-GGUF | — | 131 K | ✓ apache-2.0 | 543 K | 13.1 GB |
| 338 | resnet-50 | 30 M | — | ✓ apache-2.0 | 542 K | 0.6 GB |
| 339 | ko-sroberta-multitask | 110 M | 512 | unknown | 540 K | 1.0 GB |
| 340 | gpt-neo-125m | 150 M | 2 K | ✓ mit | 538 K | 1.1 GB |
| 341 | whisper-bemba-stt | 240 M | — | unknown | 534 K | 1.6 GB |
| 342 | Llama-3.1-8B | 8.0 B | — | ⚠ llama3.1 | 534 K | 19.4 GB |
| 343 | Qwen3-Embedding-4B-W4A16-G128 | 4.1 B | 41 K | ✓ apache-2.0 | 532 K | 4.0 GB |
| 344 | whisper-medium-gguf | — | — | ✓ apache-2.0 | 529 K | 1.1 GB |
| 345 | Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF | — | — | ✓ mit | 526 K | 12.5 GB |
| 346 | Qwen3-VL-Embedding-8B-FP8 | 8.8 B | — | ✓ apache-2.0 | 525 K | 13.5 GB |
| 347 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 520 K | 5.3 GB |
| 348 | distil-large-v3 | 760 M | — | ✓ mit | 517 K | 5.6 GB |
| 349 | jina-embeddings-v5-text-nano | 210 M | 8 K | ✗ cc-by-nc-4.0 | 515 K | 1.1 GB |
| 350 | qwen3-4b-base-dapo-v4 | 4.0 B | 33 K | ✓ apache-2.0 | 515 K | 10.0 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.