1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Text generation models
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 451 | transformer-1.3B-100B | 1.4 B | 2 K | ✓ mit | 153 K | from 3.7 GB |
| 452 | Qwen3-4B-Instruct-2507-unsloth-bnb-4bit | 4.0 B | 262 K | ✓ apache-2.0 | 151 K | from 5.0 GB |
| 453 | LFM2-24B-A2B-MLX-4bit | 23.8 B | 128 K | other | 151 K | from 18.8 GB |
| 454 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 151 K | from 16.3 GB |
| 455 | DeepSeek-V3-0324 | 684.5 B | 164 K | ✓ mit | 150 K | from 860.6 GB |
| 456 | LFM2-24B-A2B-MLX-5bit | 23.8 B | 128 K | other | 149 K | from 22.1 GB |
| 457 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 149 K | from 4.1 GB |
| 458 | LFM2-24B-A2B-MLX-8bit | 23.8 B | 128 K | other | 149 K | from 31.9 GB |
| 459 | LFM2-24B-A2B-MLX-6bit | 23.8 B | 128 K | other | 149 K | from 25.4 GB |
| 460 | Qwen3.8-27B-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 149 K | from 5.6 GB |
| 461 | Llama-2-13b-chat-hf | 13.0 B | — | ⚠ llama2 | 147 K | from 31.1 GB |
| 462 | Qwen2.5-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 147 K | from 8.5 GB |
| 463 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 145 K | from 0.9 GB |
| 464 | Qwopus3.6-27B-Fusion-GGUF | — | — | other | 145 K | from 15.4 GB |
| 465 | Granite-4.2-3B-BE-GGUF | 3.0 B | — | ✓ apache-2.0 | 144 K | from 2.6 GB |
| 466 | GLM-4.5-Air-GGUF | 110.5 B | 131 K | ✓ mit | 144 K | from 59.4 GB |
| 467 | Meta-Llama-3.1-70B-Instruct-FP8 | 70.6 B | 131 K | ⚠ llama3.1 | 142 K | from 91.0 GB |
| 468 | DeepSeek-V4-Pro-0813 | 1,650.5 B | 1.0 M | ✓ mit | 142 K | from 1,230.1 GB |
| 469 | Qwen3-Next-80B-A3B-Instruct | 81.3 B | 262 K | ✓ apache-2.0 | 141 K | from 191.6 GB |
| 470 | Nanbeige_Nanbeige4.3-33B-GGUF | 33.0 B | — | ✓ apache-2.0 | 140 K | from 16.5 GB |
| 471 | Qwen3-235B-A22B-Instruct-2507 | 235.1 B | 262 K | ✓ apache-2.0 | 139 K | from 553.0 GB |
| 472 | DeepSeek-R1-Distill-Qwen-7B-GGUF | 7.0 B | 131 K | unknown | 139 K | from 4.6 GB |
| 473 | typhoon2.5-qwen3-4b | 4.0 B | 262 K | ✓ apache-2.0 | 139 K | from 10.0 GB |
| 474 | JevK5 | 4.2 B | 262 K | ✓ apache-2.0 | 138 K | from 10.4 GB |
| 475 | Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-NVFP4 | 30.0 B | 262 K | ✓ apache-2.0 | 138 K | from 24.9 GB |
| 476 | DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-GGUF | 763.2 B | — | ✓ mit | 137 K | from 158.3 GB |
| 477 | MiMo-V2.5 | 310.8 B | 1.0 M | ✓ mit | 137 K | from 394.4 GB |
| 478 | needle3 | — | 8 K | ✓ apache-2.0 | 136 K | from 0.8 GB |
| 479 | DialoGPT-medium | — | — | ✓ mit | 136 K | — |
| 480 | GLM-4.7-Flash-MLX-8bit | 29.9 B | 203 K | ✓ mit | 136 K | from 40.0 GB |
| 481 | Meta-Llama-3-70B | 70.6 B | — | ⚠ llama3 | 136 K | from 166.3 GB |
| 482 | tiny-mpt-random-remote-code | — | — | ✓ apache-2.0 | 135 K | — |
| 483 | Hy-Memory-30B-A3B-GGUF | 30.0 B | — | ✓ apache-2.0 | 134 K | from 25.1 GB |
| 484 | GLM-5.2-FP8 | 753.3 B | 1.0 M | ✓ mit | 132 K | from 944.7 GB |
| 485 | NVIDIA-Nemotron-3.5-Bolt-E4B-4GB | 4.0 B | — | other | 132 K | from 7.9 GB |
| 486 | Qwen2.5-Coder-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 132 K | from 18.4 GB |
| 487 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 132 K | from 1.2 GB |
| 488 | Qwen2.5-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 130 K | from 18.4 GB |
| 489 | GLM-4.5 | 358.3 B | 131 K | ✓ mit | 111 K | from 842.6 GB |
| 490 | Mistral-Small-3.2-24B-Instruct-2506 | 24.0 B | — | ✓ apache-2.0 | 105 K | from 109.8 GB |
| 491 | Mistral-Nemo-Instruct-2407 | 12.2 B | 131 K | ✓ apache-2.0 | 97 K | from 56.2 GB |
| 492 | Ministral-3-8B-Instruct-2512 | 8.9 B | — | ✓ apache-2.0 | 94 K | from 24.8 GB |
| 493 | Mistral-Small-24B-Instruct-2501 | 23.6 B | 33 K | ✓ apache-2.0 | 93 K | from 107.8 GB |
| 494 | LFM3-1.7B | 1.7 B | 262 K | other | 79 K | from 4.6 GB |
| 495 | MiMo-V2.6-Flash-RL | 310.8 B | 1.0 M | ✓ mit | 77 K | from 242.6 GB |
| 496 | Hy3-preview | 298.8 B | 262 K | other | 69 K | from 702.7 GB |
| 497 | Hunyuan-A13B-Instruct | 80.4 B | 33 K | other | 69 K | from 189.4 GB |
| 498 | Ministral-3-3B-Instruct-2512 | 3.8 B | — | ✓ apache-2.0 | 66 K | from 11.4 GB |
| 499 | granite-4.2-8b | 8.8 B | 131 K | ✓ apache-2.0 | 60 K | from 21.2 GB |
| 500 | Qwen3-Coder-480B-A35B-Instruct | 480.2 B | 262 K | ✓ apache-2.0 | 58 K | from 1,128.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.