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 |
|---|---|---|---|---|---|---|
| 351 | Nemotron-Labs-Diffusion-8B | 8.5 B | 262 K | other | 204 K | from 20.6 GB |
| 352 | granite-guardian-3.3-8b | 8.2 B | 131 K | ✓ apache-2.0 | 204 K | from 19.7 GB |
| 353 | Llama-3_3-Nemotron-Super-49B-v1_5-FP8 | 49.9 B | 131 K | other | 204 K | from 65.1 GB |
| 354 | DeepSeek-V2-Lite-Chat | 15.7 B | 164 K | other | 204 K | from 37.4 GB |
| 355 | Llama-3.1-70B-Instruct | 70.6 B | — | ⚠ llama3.1 | 203 K | from 166.3 GB |
| 356 | Qwen3-30B-A3B-abliterated | 30.5 B | 41 K | ✓ apache-2.0 | 203 K | from 206.6 GB |
| 357 | gemma-4-31B-it-uncensored | 32.7 B | — | ✓ apache-2.0 | 203 K | from 74.2 GB |
| 358 | DeepSeek-V4-Flash-NVFP4 | 166.7 B | 1.0 M | ✓ mit | 203 K | from 210.6 GB |
| 359 | GLM-5-FP8 | 753.9 B | 203 K | ✓ mit | 203 K | from 945.4 GB |
| 360 | DeepSeek-V4-Flash-0731-NVFP4 | 304.2 B | 1.0 M | ✓ mit | 203 K | from 239.2 GB |
| 361 | Qwen2.5-3B | 3.1 B | 33 K | other | 203 K | from 7.8 GB |
| 362 | medgemma-27b-text-it-GPTQ | 4.8 B | 131 K | other | 202 K | from 18.8 GB |
| 363 | LFM2.5-1.2B-Instruct | 1.2 B | 128 K | other | 201 K | from 3.3 GB |
| 364 | Yi-Coder-9B-Chat-GGUF | — | — | unknown | 201 K | from 2.7 GB |
| 365 | Dolphin-Mistral-24B-Venice-Edition | 24.0 B | — | ✓ apache-2.0 | 201 K | from 56.9 GB |
| 366 | OLMoE-1B-7B-0125-Instruct | 6.9 B | 4 K | ✓ apache-2.0 | 201 K | from 16.8 GB |
| 367 | gemma-7b | 8.5 B | — | ⚠ gemma | 200 K | from 20.6 GB |
| 368 | Qwen_Qwen3-Next-80B-A3B-Thinking-GGUF | — | — | ✓ apache-2.0 | 200 K | from 18.7 GB |
| 369 | GLM-5.1-FP8 | 753.9 B | 203 K | ✓ mit | 200 K | from 945.4 GB |
| 370 | Qwen3.5-35B-A3B-APEX-GGUF | — | — | ✓ apache-2.0 | 200 K | from 28.4 GB |
| 371 | glm-4-9b-chat-IMat-GGUF | — | — | other | 200 K | from 3.9 GB |
| 372 | VLM2Vec-Full | 4.2 B | 131 K | ✓ apache-2.0 | 199 K | from 10.2 GB |
| 373 | c4ai-command-r-v01 | 35.0 B | — | ✗ cc-by-nc-4.0 | 199 K | from 82.7 GB |
| 374 | GLM-4.7-Flash | 31.2 B | 203 K | ✓ mit | 199 K | from 73.9 GB |
| 375 | Qwen2.5-7B-Instruct-1M | 7.6 B | 1.0 M | ✓ apache-2.0 | 197 K | from 18.4 GB |
| 376 | Olmo-3-7B-Think | 7.3 B | 66 K | ✓ apache-2.0 | 197 K | from 17.7 GB |
| 377 | gemma-4-12b-heretic-abliterated-GGUF | — | — | ✓ apache-2.0 | 196 K | from 0.7 GB |
| 378 | Olmo-3-7B-Instruct | 7.3 B | 66 K | ✓ apache-2.0 | 196 K | from 17.7 GB |
| 379 | Laguna-S-2.1-GGUF | — | — | openmdw-1.1 | 196 K | from 37.6 GB |
| 380 | Qwen2.5-Coder-32B-Instruct-GGUF | — | — | ✓ apache-2.0 | 196 K | from 9.1 GB |
| 381 | Qwen3.6-27B-Text-NVFP4-MTP | 16.7 B | — | ✓ apache-2.0 | 196 K | from 24.6 GB |
| 382 | Kimi-K2.7-Code-NVFP4 | — | — | other | 196 K | from 655.2 GB |
| 383 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 196 K | from 8.0 GB |
| 384 | GLM-5.2-AWQ-INT4 | 753.3 B | 1.0 M | ✓ mit | 196 K | from 635.1 GB |
| 385 | Fanar-1-9B-Instruct | 8.8 B | 4 K | ✓ apache-2.0 | 195 K | from 21.1 GB |
| 386 | Qwen2.5-3B-Instruct-unsloth-bnb-4bit | 3.2 B | 33 K | ✓ apache-2.0 | 195 K | from 3.6 GB |
| 387 | Qwen3-1.7B-GGUF | 1.7 B | 41 K | ✓ apache-2.0 | 195 K | from 1.6 GB |
| 388 | Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP | 27.0 B | — | ✓ apache-2.0 | 195 K | from 27.2 GB |
| 389 | gpt-oss-120b-Eagle3-short-context | 787 M | 131 K | other | 195 K | from 2.8 GB |
| 390 | Qwen2.5-1.5B-Instruct-AWQ | 1.8 B | 33 K | ✓ apache-2.0 | 195 K | from 2.5 GB |
| 391 | Llama-Guard-3-8B | 8.0 B | — | ⚠ llama3.1 | 195 K | from 19.4 GB |
| 392 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark | 760 M | 1.0 M | other | 195 K | from 2.1 GB |
| 393 | TinyLlama-1.1B-Chat-v0.3-GPTQ | 1.1 B | 2 K | ✓ apache-2.0 | 195 K | from 1.5 GB |
| 394 | Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | — | — | ✓ apache-2.0 | 194 K | from 23.8 GB |
| 395 | Step-3.5-Flash | 199.4 B | 262 K | ✓ apache-2.0 | 194 K | from 469.1 GB |
| 396 | EuroLLM-1.7B-Instruct | 1.7 B | 4 K | ✓ apache-2.0 | 194 K | from 4.4 GB |
| 397 | supergemma4-26b-uncensored-gguf-v2 | — | — | ⚠ gemma | 194 K | from 19.0 GB |
| 398 | QwQ-32B | 32.8 B | 41 K | ✓ apache-2.0 | 194 K | from 77.5 GB |
| 399 | Kimi-K2.7-Code-NVFP4 | — | — | other | 194 K | from 655.2 GB |
| 400 | gemma-2-2b | 2.6 B | — | ⚠ gemma | 193 K | from 12.4 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.