1,000 models · refreshed nightly
Models that run on 2 × 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 2 × 24 GB |
|---|---|---|---|---|---|---|
| 551 | Llama-3.2-3B-Instruct-FP8-dynamic | 3.6 B | 131 K | ⚠ llama3.2 | 277 K | 5.9 GB |
| 552 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 277 K | 2.0 GB |
| 553 | vit-age-classifier | 90 M | — | unknown | 275 K | 0.9 GB |
| 554 | Meta-Llama-3-8B | 8.0 B | — | ⚠ llama3 | 275 K | 19.4 GB |
| 555 | MiniCPM5-2B-DSpark | 324 M | 131 K | ✓ apache-2.0 | 275 K | 1.3 GB |
| 556 | Qwen3-14B-GGUF | — | — | unknown | 274 K | 6.8 GB |
| 557 | gemma-4-31B-it-scotoma-2-GGUF | — | — | ✓ apache-2.0 | 274 K | 13.8 GB |
| 558 | vit_tiny_r_s16_p8_224.augreg_in21k | 10 M | — | ✓ apache-2.0 | 274 K | 0.5 GB |
| 559 | Qwen3-4B-GGUF | — | — | unknown | 272 K | 2.3 GB |
| 560 | tiny_starcoder_py | 160 M | — | bigcode-openrail-m | 272 K | 1.2 GB |
| 561 | Qwen2.5-Coder-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 272 K | 3.8 GB |
| 562 | gpt-oss-20b-MXFP4-Q8 | 20.9 B | 131 K | ✓ apache-2.0 | 271 K | 16.9 GB |
| 563 | DeepSeek-R1-Distill-Qwen-7B | 7.6 B | 131 K | ✓ mit | 271 K | 18.4 GB |
| 564 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 271 K | 10.4 GB |
| 565 | CodonTransformer | 90 M | 4 K | ✓ apache-2.0 | 270 K | 0.9 GB |
| 566 | Qwen3-1.7B-GGUF | — | — | unknown | 270 K | 1.5 GB |
| 567 | Qwen3-0.6B-FP8 | 750 M | 41 K | ✓ apache-2.0 | 270 K | 1.8 GB |
| 568 | FLUX.1-dev-gguf | — | — | other | 269 K | 4.9 GB |
| 569 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | — | — | other | 269 K | 21.3 GB |
| 570 | Qwen3-8B-GGUF | — | — | unknown | 269 K | 4.1 GB |
| 571 | Qwen3-4B-AWQ | 4.0 B | 41 K | ✓ apache-2.0 | 268 K | 4.0 GB |
| 572 | taardis-27b-full-ternary | — | — | ✓ apache-2.0 | 268 K | 8.4 GB |
| 573 | Qwen3-30B-A3B-GGUF | — | — | unknown | 266 K | 12.9 GB |
| 574 | Qwen3-32B-GGUF | — | — | unknown | 266 K | 14.1 GB |
| 575 | openai-gpt | 120 M | — | ✓ mit | 265 K | 1.0 GB |
| 576 | Qwen3-30B-A3B-GGUF | — | — | ✓ apache-2.0 | 265 K | 20.9 GB |
| 577 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 265 K | 8.0 GB |
| 578 | Apodex-1.1-mini-GGUF | — | — | ✓ apache-2.0 | 264 K | 10.2 GB |
| 579 | Llama-Guard-3-1B | 1.5 B | 131 K | ⚠ llama3.2 | 264 K | 4.0 GB |
| 580 | xlm-roberta-base-ner-hrl | 280 M | 512 | ✓ afl-3.0 | 262 K | 1.8 GB |
| 581 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 262 K | 3.4 GB |
| 582 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 430 M | 512 | ✓ apache-2.0 | 262 K | 1.5 GB |
| 583 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 260 K | 0.9 GB |
| 584 | Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 259 K | 4.0 GB |
| 585 | Qwen2.5-Coder-7B-Instruct-4bit | 1.2 B | 33 K | ✓ apache-2.0 | 258 K | 5.4 GB |
| 586 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 258 K | 8.5 GB |
| 587 | convnextv2-base-22k-384 | 90 M | — | ✓ apache-2.0 | 253 K | 0.9 GB |
| 588 | bert-small-pii-detection | 30 M | 512 | ✓ apache-2.0 | 252 K | 0.6 GB |
| 589 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 251 K | 7.5 GB |
| 590 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 250 K | 19.4 GB |
| 591 | OpenMed-PII-SuperClinical-Small-44M-v1 | 140 M | 512 | ✓ apache-2.0 | 250 K | 1.1 GB |
| 592 | sarashina2.2-0.5b-instruct-v0.1 | 790 M | 8 K | ✓ mit | 248 K | 2.4 GB |
| 593 | Qwen3.8-27B-NVFP4-MTP-GGUF | — | — | ✓ apache-2.0 | 248 K | 36.9 GB |
| 594 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 247 K | 4.5 GB |
| 595 | convnextv2_large.fcmae_ft_in22k_in1k_384 | 200 M | — | ✗ cc-by-nc-4.0 | 246 K | 1.4 GB |
| 596 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | 3.0 GB |
| 597 | Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | — | — | ✓ apache-2.0 | 245 K | 23.8 GB |
| 598 | DeepSeek-V4-Flash-GGUF | — | — | ✓ mit | 245 K | 44.1 GB |
| 599 | plant-identity | 90 M | — | unknown | 245 K | 0.9 GB |
| 600 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 245 K | 8.0 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.