For privacy reasons a browser tells us at most "≥ 8 GB RAM, 8 cores" - same reading whether you have 8 GB or 128 GB. It has no idea how much RAM is free right now, which apps are open, or whether you have a GPU.
It reads your exact RAM, GPU model and VRAM, free memory right now, and picks the sharpest quant that still fits. Every model page lights up precisely for your rig.
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Below is the per-quantization compatibility for this model.
curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/Grimxlock%2FCerberus-4B-v2-Abliterated-GGUF" No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.
What is a refusal direction? →| cerberus-4b-v2-abliterated-f16.gguf | 7.85 GB | 7bda520e | download |
| cerberus-4b-v2-abliterated-Q8_0.gguf | 4.17 GB | 8fcc3273 | download |
| cerberus-4b-v2-abliterated-Q4_K_M.gguf | 2.52 GB | 8f641c0d | download |
| cerberus-4b-v2-abliterated-Q4_0.gguf | 2.37 GB | 2777e69b | download |
library_name: llama.cpp
tags:
GGUF releases published from the current CerberusAI download mirror.
cerberus-4b-v2-abliterated-f16.ggufcerberus-4b-v2-abliterated-Q4_0.ggufcerberus-4b-v2-abliterated-Q4_K_M.ggufcerberus-4b-v2-abliterated-Q8_0.ggufThe author's README evolved over time. Click a version to see its content at that point.
Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.