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 |
|---|---|---|---|---|---|---|
| 501 | distilroberta-finetuned-financial-news-sentiment-analysis | 80 M | 512 | ✓ apache-2.0 | 330 K | 0.9 GB |
| 502 | Qwen3.8-27B-DSpark | 1.9 B | 262 K | other | 329 K | 4.9 GB |
| 503 | Qwen3-Coder-30B-A3B-Instruct-AWQ | 30.5 B | 262 K | ✓ apache-2.0 | 329 K | 23.6 GB |
| 504 | GigaChat3.1-Audio-10B-A1.8B | — | — | ✓ mit | 329 K | 26.6 GB |
| 505 | t5-3b | 2.9 B | — | ✓ apache-2.0 | 326 K | 13.5 GB |
| 506 | LFM2.5-1.2B-Instruct-GGUF | — | — | other | 325 K | 1.3 GB |
| 507 | MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF | — | — | ✓ apache-2.0 | 325 K | 1.3 GB |
| 508 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 324 K | 2.1 GB |
| 509 | playground-v2.5-1024px-aesthetic | 2.6 B | — | other | 321 K | 46.7 GB |
| 510 | Meta-Llama-3.1-8B-Instruct-GGUF | — | — | ⚠ llama3.1 | 320 K | 3.7 GB |
| 511 | Qwen3.6-27B-MTP-pi-tune-GGUF | — | — | ✓ apache-2.0 | 319 K | 12.5 GB |
| 512 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 318 K | 4.1 GB |
| 513 | gpt2-medium | 380 M | — | ✓ mit | 317 K | 2.2 GB |
| 514 | xflux_text_encoders | 4.8 B | — | ✓ apache-2.0 | 317 K | 11.7 GB |
| 515 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 317 K | 19.4 GB |
| 516 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 316 K | 16.3 GB |
| 517 | table-transformer-structure-recognition-v1.1-all | 30 M | — | ✓ mit | 314 K | 0.6 GB |
| 518 | The_GuageLLM_23M | 20 M | — | ✓ apache-2.0 | 314 K | 0.6 GB |
| 519 | rubert-tiny-toxicity | 10 M | 512 | ✓ mit | 313 K | 0.6 GB |
| 520 | phishing-email-detection-distilbert_v2.4.1 | 70 M | 512 | ✓ apache-2.0 | 309 K | 0.8 GB |
| 521 | opt-350m | 350 M | 2 K | other | 308 K | 1.3 GB |
| 522 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 180 M | 512 | ✓ apache-2.0 | 307 K | 1.3 GB |
| 523 | gpt-j-6b | 6.0 B | — | ✓ apache-2.0 | 304 K | 14.6 GB |
| 524 | DeepSeek-V2-Lite | 15.7 B | 164 K | other | 304 K | 37.4 GB |
| 525 | SmolLM2-360M-Instruct | 360 M | 8 K | ✓ apache-2.0 | 303 K | 1.4 GB |
| 526 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 302 K | 1.7 GB |
| 527 | prokbert-mini-promoter | 20 M | 1 K | ✗ cc-by-nc-4.0 | 302 K | 0.6 GB |
| 528 | supergemma4-26b-uncensored-gguf-v2 | — | — | ⚠ gemma | 301 K | 19.0 GB |
| 529 | Olmo-3-7B-Instruct | 7.3 B | 66 K | ✓ apache-2.0 | 300 K | 17.7 GB |
| 530 | HunyuanDiT-v1.1-Diffusers-Distilled | 1.5 B | — | other | 298 K | 16.7 GB |
| 531 | Qwen2.5-14B-bnb-4bit | 15.2 B | 131 K | ✓ apache-2.0 | 298 K | 13.7 GB |
| 532 | Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | — | — | ✓ apache-2.0 | 297 K | 2.5 GB |
| 533 | Qwopus-GLM-18B-Merged-GGUF | — | — | ✓ apache-2.0 | 295 K | 9.2 GB |
| 534 | Qwen3-0.6B-GGUF | — | — | unknown | 295 K | 0.9 GB |
| 535 | mask2former-swin-large-ade-semantic | 220 M | — | other | 295 K | 1.5 GB |
| 536 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 293 K | 5.8 GB |
| 537 | Qwen2.5-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 292 K | 18.4 GB |
| 538 | deepseek-coder-6.7b-instruct | 6.7 B | 16 K | other | 292 K | 16.3 GB |
| 539 | nllb-200-distilled-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 292 K | 3.6 GB |
| 540 | voice-gender-classifier | 20 M | — | ✓ mit | 291 K | 0.6 GB |
| 541 | KoELECTRA-small-v3-modu-ner | 10 M | 512 | unknown | 288 K | 0.6 GB |
| 542 | RADAR-Vicuna-7B | 7.0 B | 512 | unknown | 287 K | 17.0 GB |
| 543 | Qwen2.5-3B-Instruct-GGUF | — | — | other | 286 K | 2.0 GB |
| 544 | Qwen3.8-Flash-Next-GGUF | — | — | other | 285 K | 1.5 GB |
| 545 | Jan-v3.5-4B-gguf | — | — | ✓ apache-2.0 | 284 K | 2.8 GB |
| 546 | Llama-3.2-1B-Instruct-FP8-dynamic | 1.5 B | 131 K | ⚠ llama3.2 | 283 K | 3.0 GB |
| 547 | Ornith-1.5-9B-MLX-4bit | 9.0 B | — | unknown | 283 K | 7.4 GB |
| 548 | mamba-130m-hf | 130 M | — | unknown | 281 K | 1.1 GB |
| 549 | Flux2-Klein-9B-True-V2 | — | — | other | 281 K | 6.8 GB |
| 550 | vit_base_patch8_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 281 K | 0.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.