1,213 models · 1,213 open weights · 210 API-only · refreshed nightly
Open-weights models
Models whose weights are published on Hugging Face — download them and run them on your own hardware. Many are also served by hosted providers; those carry an "Also via API" badge with live prices.
| # | Model | Params | Context | Commercial use | 30d | On RTX 4070 · 16 GB |
|---|---|---|---|---|---|---|
| 501 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 216 K | 12.6 GB |
| 502 | TinyLLama-v0 | <0.1 M | 2 K | ✓ apache-2.0 | 215 K | 0.5 GB |
| 503 | qwen3-4b-base-dapo-v4 | 4.0 B | 33 K | ✓ apache-2.0 | 215 K | 10.0 GB |
| 504 | OpenMed-NER-DiseaseDetect-BioMed-335M | 334 M | 512 | ✓ apache-2.0 | 214 K | 1.3 GB |
| 505 | SmolLM3-3B-Base | 3.1 B | 66 K | ✓ apache-2.0 | 213 K | 7.7 GB |
| 506 | Parable-Qwen3-4B-Claude-Fable-5-GGUF | 4.0 B | 41 K | ✓ apache-2.0 | 213 K | 3.8 GB |
| 507 | Parable-Qwen3-8B-Claude-Fable-5-GGUF | 8.0 B | 41 K | ✓ apache-2.0 | 212 K | 7.2 GB |
| 508 | resnet-50 | 30 M | — | ✓ apache-2.0 | 212 K | 0.6 GB |
| 509 | MiniCPM5-2B-MLX | 2.5 B | 131 K | ✓ apache-2.0 | 212 K | 2.4 GB |
| 510 | Qwen3Guard-Gen-0.6B | 750 M | 33 K | ✓ apache-2.0 | 211 K | 2.3 GB |
| 511 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 208 K | 6.2 GB |
| 512 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 208 K | 2.0 GB |
| 513 | Bielik-11B-v3.0-Instruct-awq | 11.3 B | 33 K | ✓ apache-2.0 | 208 K | 9.0 GB |
| 514 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 208 K | 1.4 GB |
| 515 | Mistral-7B-Instruct-v0.3-AWQ | 7.3 B | 33 K | ✓ apache-2.0 | 208 K | 6.2 GB |
| 516 | The_GuageLLM_23M | 20 M | — | ✓ apache-2.0 | 207 K | 0.6 GB |
| 517 | Bonsai-27B-gguf | — | — | ✓ apache-2.0 | 207 K | 1.2 GB |
| 518 | Qwen3Guard-Gen-4B | 4.4 B | 33 K | ✓ apache-2.0 | 207 K | 10.9 GB |
| 519 | Qwen2.5-Coder-1.5B-Instruct-GGUF | 1.5 B | 33 K | ✓ apache-2.0 | 206 K | 1.6 GB |
| 520 | gemma-3-1b-it | 1.0 B | — | ⚠ gemma | 206 K | 2.8 GB |
| 521 | Mistral-7B-Instruct-v0.2-AWQ | 7.2 B | 33 K | ✓ apache-2.0 | 205 K | 6.2 GB |
| 522 | Qwen2.5-3B | 3.1 B | 33 K | other | 203 K | 7.8 GB |
| 523 | LFM2.5-1.2B-Instruct | 1.2 B | 128 K | other | 201 K | 3.3 GB |
| 524 | Yi-Coder-9B-Chat-GGUF | — | — | unknown | 201 K | 2.7 GB |
| 525 | glm-4-9b-chat-IMat-GGUF | — | — | other | 200 K | 3.9 GB |
| 526 | VLM2Vec-Full | 4.2 B | 131 K | ✓ apache-2.0 | 199 K | 10.2 GB |
| 527 | gemma-4-12b-heretic-abliterated-GGUF | — | — | ✓ apache-2.0 | 196 K | 0.7 GB |
| 528 | Qwen2.5-Coder-32B-Instruct-GGUF | — | — | ✓ apache-2.0 | 196 K | 9.1 GB |
| 529 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 196 K | 8.0 GB |
| 530 | Qwen2.5-3B-Instruct-unsloth-bnb-4bit | 3.2 B | 33 K | ✓ apache-2.0 | 195 K | 3.6 GB |
| 531 | Qwen3-1.7B-GGUF | 1.7 B | 41 K | ✓ apache-2.0 | 195 K | 1.6 GB |
| 532 | gpt-oss-120b-Eagle3-short-context | 787 M | 131 K | other | 195 K | 2.8 GB |
| 533 | Qwen2.5-1.5B-Instruct-AWQ | 1.8 B | 33 K | ✓ apache-2.0 | 195 K | 2.5 GB |
| 534 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark | 760 M | 1.0 M | other | 195 K | 2.1 GB |
| 535 | TinyLlama-1.1B-Chat-v0.3-GPTQ | 1.1 B | 2 K | ✓ apache-2.0 | 195 K | 1.5 GB |
| 536 | EuroLLM-1.7B-Instruct | 1.7 B | 4 K | ✓ apache-2.0 | 194 K | 4.4 GB |
| 537 | gemma-2-2b | 2.6 B | — | ⚠ gemma | 193 K | 12.4 GB |
| 538 | Qwen2.5-Coder-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 192 K | 8.9 GB |
| 539 | Llama-3.2-3B-Instruct-GGUF | — | — | ⚠ llama3.2 | 191 K | 2.3 GB |
| 540 | Qwen3.8-27B-DSpark | 1.9 B | 262 K | other | 190 K | 4.9 GB |
| 541 | NVIDIA-Nemotron-Nano-9B-v2-FP8 | 8.9 B | 131 K | other | 190 K | 13.1 GB |
| 542 | Qwen3-14B-unsloth-bnb-4bit | 15.2 B | 41 K | ✓ apache-2.0 | 190 K | 15.0 GB |
| 543 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 189 K | 10.4 GB |
| 544 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 189 K | 8.5 GB |
| 545 | gemma-3-1b-it-GGUF | 1.0 B | — | ⚠ gemma | 187 K | 1.5 GB |
| 546 | LFM2.5-2.6B-GGUF | 2.6 B | 131 K | other | 187 K | 2.6 GB |
| 547 | Qwen3.6-14B-A3B-FableVibes-GGUF | — | — | ✓ apache-2.0 | 187 K | 6.4 GB |
| 548 | opt-350m | 350 M | 2 K | other | 185 K | 1.3 GB |
| 549 | Qwen_Qwen3-0.6B-GGUF | 600 M | 41 K | unknown | 185 K | 1.0 GB |
| 550 | Qwen-Image-2.1-viggle-turbo | 7.1 B | — | other | 183 K | 6.3 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.