scanner-cost-benchmark
Scan time / RAM benchmark for obliteration_cli: width, size, dense vs MoE, format, clean vs abliterated.
Text Generation • 0.5B • Updated • 1.62k • • 4Note abliterated A1 dense safetensors, width 896, 1.0 GB
DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
Text Generation • 1.0B • Updated • 1.64k • • 62Note heretic A2 dense safetensors, width 1152, 2.0 GB
huihui-ai/Huihui-Qwen3.5-2B-abliterated
Image-Text-to-Text • 2B • Updated • 1.69k • 52Note abliterated A3 dense safetensors, width 2048, 4.6 GB
huihui-ai/Huihui-Qwen3-4B-abliterated-v2
Text Generation • 4B • Updated • 2.39k • • 66Note abliterated A4 dense safetensors, width 2560, 8.0 GB; pair with Qwen/Qwen3-4B
Qwen/Qwen3-4B
Text Generation • 4B • Updated • 8.42M • • 783Note clean A5 dense safetensors, width 2560, 8.0 GB; clean pair of A4
huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
Text Generation • 8B • Updated • 6.18k • • 74Note abliterated A6 dense safetensors, width 3584, 15.2 GB
mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
Text Generation • 8B • Updated • 6.48k • • 221Note abliterated A7 dense safetensors, width 4096, 16.1 GB; holdout
huihui-ai/Qwen3-14B-abliterated
Text Generation • 15B • Updated • 147 • • 54Note abliterated A8 dense safetensors, width 5120, 29.5 GB (gated: auto); same model as B12
ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED
2B • Updated • 1.15k • 5Note obliterated quant: Q6_K B9 dense GGUF, width 1536, 1.5 GB
saidutta69/SmolLM3-3B-heretic
Text Generation • 3B • Updated • 1.73kNote heretic quant: Q8_0 B10 dense GGUF, width 2048, 3.3 GB
bartowski/Qwen2.5-Coder-7B-Instruct-abliterated-GGUF
Text Generation • 8B • Updated • 57.5k • 97Note abliterated quant: Q8_0 B11 dense GGUF, width 3584, 8.1 GB
bartowski/huihui-ai_Qwen3-14B-abliterated-GGUF
Text Generation • 15B • Updated • 45.6k • 25Note abliterated quant: Q8_0 B12 dense GGUF, width 5120, 15.7 GB; same model as A8 (format effect)
huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF
Image-Text-to-Text • 27B • Updated • 3.39M • 1.73kNote abliterated quant: Q8_0 B13 dense GGUF, width 5120, 65 layers, 29.0 GB
mradermacher/Qwen3-32B-abliterated-GGUF
33B • Updated • 5.1k • 5Note abliterated quant: Q8_0 B14 dense GGUF, width 5120, 64 layers, 34.8 GB; holdout
bartowski/Llama-3.3-70B-Instruct-abliterated-GGUF
Text Generation • 71B • Updated • 61.7k • 39Note abliterated quant: Q3_K_M B15 dense GGUF, width 8192, 80 layers, 34.3 GB; holdout
unsloth/Qwen3.6-35B-A3B-MTP-GGUF
Image-Text-to-Text • 36B • Updated • 1.68M • 1.03kNote clean quant: Q8_0 C16 MoE with shared expert, width 2048, 37.8 GB; clean pair of C17
mradermacher/Huihui-Qwen3.6-35B-A3B-abliterated-GGUF
35B • Updated • 91.3k • 15Note abliterated quant: Q8_0 C17 MoE with shared expert, width 2048, 36.9 GB
unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF
31B • Updated • 527k • 327Note clean quant: Q8_0 C18 MoE without shared expert, 32.5 GB; clean pair of C19
mradermacher/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-GGUF
31B • Updated • 59.3k • 39Note abliterated quant: Q8_0 C19 MoE without shared expert, 32.5 GB; holdout
unsloth/gpt-oss-20b-GGUF
Text Generation • 21B • Updated • 586k • 899Note clean quant: Q8_0 C20 MoE gpt-oss, 12.1 GB; MXFP4 experts not decodable (exit 2 expected)
bartowski/huihui-ai_Huihui-gpt-oss-20b-BF16-abliterated-GGUF
Text Generation • 21B • Updated • 10k • 43Note abliterated quant: Q8_0 C21 MoE gpt-oss, 22.3 GB; abliterated pair of C20
ibm-granite/granite-4.0-h-tiny-GGUF
7B • Updated • 9.76k • 29Note clean quant: Q8_0 C22 hybrid Mamba MoE, 7.4 GB; clean pair of C23
mradermacher/Huihui-granite-4.0-h-tiny-abliterated-GGUF
7B • Updated • 536 • 2Note abliterated quant: Q8_0 C23 hybrid Mamba MoE, 7.4 GB