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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/hrm-labs%2FMeta-Llama-3.1-8B-Instruct-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? →This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| meta-llama-3.1-8b-instruct-abliterated.bf16.gguf | 15.0 GB | ab319a0c | download |
| meta-llama-3.1-8b-instruct-abliterated.Q8_0.gguf | 7.95 GB | 7b4601d2 | download |
| meta-llama-3.1-8b-instruct-abliterated.Q6_K.gguf | 6.14 GB | 9c6b83fa | download |
| meta-llama-3.1-8b-instruct-abliterated.Q5_K_M.gguf | 5.34 GB | 7afb333a | download |
| meta-llama-3.1-8b-instruct-abliterated.Q4_K_M.gguf | 4.58 GB | c4735f9e | download |
| meta-llama-3.1-8b-instruct-abliterated.Q3_K_M.gguf | 3.74 GB | c65acbce | download |
| meta-llama-3.1-8b-instruct-abliterated.Q2_K.gguf | 2.96 GB | 3b127302 | download |
library_name: transformers
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
This is an uncensored version of Llama 3.1 8B Instruct created with abliteration (see this article to know more about it).
Special thanks to @FailSpy for the original code and technique. Please follow him if you're interested in abliterated models.
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.