1,054 models · refreshed nightly
Text generation models
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 | Min VRAM |
|---|---|---|---|---|---|---|
| 51 | Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF | — | — | ✓ apache-2.0 | 1.8 M | from 8.9 GB |
| 52 | Gemma-4-26B-A4B-NVFP4 | 14.4 B | — | ✓ apache-2.0 | 1.8 M | from 23.3 GB |
| 53 | Qwen3-30B-A3B | 30.5 B | 41 K | ✓ apache-2.0 | 1.8 M | from 72.3 GB |
| 54 | Qwen3-8B-AWQ | 8.2 B | 41 K | ✓ apache-2.0 | 1.8 M | from 8.4 GB |
| 55 | Mistral-7B-Instruct-v0.2 | 7.2 B | 33 K | ✓ apache-2.0 | 1.8 M | from 17.5 GB |
| 56 | Gemma-4-31B-IT-NVFP4 | 20.9 B | — | other | 1.6 M | from 39.5 GB |
| 57 | Qwen2.5-0.5B | 490 M | 33 K | ✓ apache-2.0 | 1.6 M | from 1.7 GB |
| 58 | DeepSeek-V4-Flash | 158.1 B | 1.0 M | ✓ mit | 1.6 M | from 199.8 GB |
| 59 | Qwen3-4B-Base | 4.0 B | 33 K | ✓ apache-2.0 | 1.5 M | from 10.0 GB |
| 60 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 1.5 M | from 4.5 GB |
| 61 | SmolLM2-135M-Instruct | 130 M | 8 K | ✓ apache-2.0 | 1.5 M | from 0.8 GB |
| 62 | Ternary-Bonsai-2-27B-gguf | 27.0 B | — | ✓ apache-2.0 | 1.5 M | from 5.2 GB |
| 63 | OTel-LLM-E4B-IT | 4.0 B | — | ✓ apache-2.0 | 1.5 M | from 9.9 GB |
| 64 | Qwen2.5-Coder-32B-Instruct-AWQ | 32.8 B | 33 K | ✓ apache-2.0 | 1.5 M | from 26.7 GB |
| 65 | MiniMax-M2.7 | 228.7 B | 205 K | other | 1.5 M | from 288.0 GB |
| 66 | TinyLlama-1.1B-Chat-v1.0 | 1.1 B | 2 K | ✓ apache-2.0 | 1.5 M | from 3.1 GB |
| 67 | Ornith-1.5-397B-GGUF | — | — | ✓ mit | 1.4 M | from 1.5 GB |
| 68 | Qwen3.5-122B-A10B-NVFP4 | 64.6 B | — | ✓ apache-2.0 | 1.4 M | from 102.0 GB |
| 69 | Qwen3-Coder-Next-FP8 | 79.7 B | 262 K | ✓ apache-2.0 | 1.4 M | from 100.9 GB |
| 70 | OpenELM-1_1B-Instruct | 1.1 B | — | apple-amlr | 1.4 M | from 3.0 GB |
| 71 | Qwen2.5-Coder-32B-Instruct | 32.8 B | 33 K | ✓ apache-2.0 | 1.3 M | from 77.5 GB |
| 72 | PowerMoE-3b | 3.4 B | 4 K | ✓ apache-2.0 | 1.3 M | from 15.9 GB |
| 73 | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | 123.6 B | 262 K | other | 1.3 M | from 291.0 GB |
| 74 | gpt2-large | 810 M | — | ✓ mit | 1.3 M | from 4.2 GB |
| 75 | Qwen3.8-27B-OBLITERATED | 27.8 B | — | ✓ apache-2.0 | 1.3 M | from 5.7 GB |
| 76 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 1.2 M | from 13.7 GB |
| 77 | LFM2.5-2.6B-GGUF | — | — | other | 1.2 M | from 2.3 GB |
| 78 | Meta-Llama-3-8B-Instruct | 8.0 B | — | ⚠ llama3 | 1.2 M | from 19.4 GB |
| 79 | Ornith-1.0-9B | <0.1 M | — | ✓ mit | 1.2 M | from 21.2 GB |
| 80 | tiny-gpt2 | — | — | unknown | 1.2 M | — |
| 81 | Ornith-1.5-35B-A3B-NVFP4 | 19.5 B | — | ✓ mit | 1.2 M | from 29.2 GB |
| 82 | Qwen3-VL-30B-A3B-Instruct-AWQ | 31.1 B | — | ✓ apache-2.0 | 1.2 M | from 24.8 GB |
| 83 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 1.2 M | from 0.7 GB |
| 84 | OTel-LLM-27B-IT | 27.0 B | — | ✓ apache-2.0 | 1.1 M | from 64.0 GB |
| 85 | DeepSeek-V3 | 684.5 B | 164 K | unknown | 1.1 M | from 860.6 GB |
| 86 | Qwen3-Coder-30B-A3B-Instruct-FP8 | 30.5 B | 262 K | ✓ apache-2.0 | 1.1 M | from 39.4 GB |
| 87 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 | 17.8 B | 1.0 M | other | 1.1 M | from 26.9 GB |
| 88 | Bonsai-27B-mlx-1bit | 1.7 B | — | ✓ apache-2.0 | 1.1 M | from 6.4 GB |
| 89 | Ternary-Bonsai-27B-mlx-2bit | 2.6 B | — | ✓ apache-2.0 | 1.1 M | from 10.2 GB |
| 90 | Llama-3.1-8B-Instruct-4bit | 1.3 B | 131 K | ⚠ llama3.1 | 1.0 M | from 5.7 GB |
| 91 | DeepSeek-V4-Flash-DSpark | 165.3 B | 1.0 M | ✓ mit | 1.0 M | from 208.9 GB |
| 92 | glm-4-9b-chat-IMat-GGUF | — | — | other | 1.0 M | from 3.9 GB |
| 93 | Qwen2.5-32B-Instruct-AWQ | 32.8 B | 33 K | ✓ apache-2.0 | 1.0 M | from 26.7 GB |
| 94 | DeepSeek-V3-0324 | 684.5 B | 164 K | ✓ mit | 991 K | from 860.6 GB |
| 95 | JiRackUltra_14b | 14.8 B | 131 K | ✓ mit | 991 K | from 9.1 GB |
| 96 | GLM-5.2-FP8 | 753.3 B | 1.0 M | ✓ mit | 986 K | from 944.7 GB |
| 97 | GLM-5.2 | 753.3 B | 1.0 M | ✓ mit | 974 K | from 1,770.8 GB |
| 98 | Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit | 5.3 B | 262 K | ✓ apache-2.0 | 958 K | from 21.2 GB |
| 99 | GLM-5.3 | 753.3 B | 1.0 M | other | 947 K | from 944.7 GB |
| 100 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 945 K | from 47.2 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.