Daily Empirical IndexSnapshot 2026-11-01 (06:00 UTC)
Open Source Uncensored LLMs Leaderboard
Empirical rankings of open-weight uncensored and abliterated language models evaluated across UGI adversarial compliance, MMLU-Pro reasoning retention, EQ-Bench creative nuance, and quantized GPU VRAM sizing.
Indexed
10
Open Weights
30d Pulls
0.13M
Hugging Face
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VRAM:
| Rank | Actions | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| #1 | Llama 3.1·405B·128k ctx·Nous Research | 93.5 | 78.2 | 96.8% | 76.5 | 88.7 | 228 GB | 9,684 | 476 | |
| #2 | Qwen 2.5·32.8B·128k ctx·huihui-ai | 90.8 | 74.9 | 97.4% | 74.2 | 81.8 | 20 GB | 18,500 | 460 | |
| #3 | Llama 3.3·70.6B·128k ctx·huihui-ai | 90.6 | 75.8 | 97.6% | 70.9 | 85.4 | 41 GB | 11,420 | 312 | |
| #4 | Qwen 2.5·72.7B·128k ctx·huihui-ai | 90.4 | 76.4 | 98.2% | 71.8 | 84.6 | 42 GB | 8,420 | 288 | |
| #5 | Qwen 2.5 Coder·32.5B·128k ctx·huihui-ai | 90.0 | 73.9 | 98.5% | 73.1 | 78.4 | 20 GB | 15,940 | 415 | |
| #6 | Mistral Small 3·24B·32k ctx·Cognitive Computations (Eric Hartford) | 88.8 | 74.1 | 99.1% | 66.4 | 82.9 | 15 GB | 14,200 | 342 | |
| #7 | Qwen 2.5·72.7B·64k ctx·EVA-UNIT-01 | 88.5 | 73.5 | 98.9% | 68.1 | 89.4 | 42 GB | 4,102 | 215 | |
| #8 | Qwen 2.5·72.7B·32k ctx·Anthracite | 88.2 | 72.8 | 99.4% | 66.8 | 87.9 | 42 GB | 6,136 | 264 | |
| #9 | Gemma 2·27.2B·8k ctx·Maxime Labonne | 87.4 | 71.2 | 97.8% | 64.5 | 85.1 | 17 GB | 9,820 | 368 | |
| #10 | Llama 3.1·8B·128k ctx·Orenguteng | 84.6 | 67.4 | 99.2% | 56.8 | 79.2 | 5.5 GB | 28,632 | 538 |
Showing 1–10 of 10 models·Page 1 of 1