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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/Spaceballs%2FLlama-3.1-8B-Lexi-Uncensored-V2-Q6_K-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? →| Benchmark | Score | Source |
|---|---|---|
| BBH average | 0.46037099494097816 | OpenLLM-v2 |
| IFEval instruct | 0.8189448441247003 | OpenLLM-v2 |
| IFEval-Prompt | 0.7393715341959335 | OpenLLM-v2 |
| MATH lvl 5 | 0.1691842900302115 | OpenLLM-v2 |
| MMLU-Pro | 0.3780751329787234 | OpenLLM-v2 |
| Entertainment | 0.7 | UGI |
| Hazardous | 0 | UGI |
| Natural Intelligence | 16.16 | UGI |
| Political lean | -21.7% | UGI |
| Sensitive-Info | 7.32 | UGI |
| SocPol | 1.3 | UGI |
| UGI | 25.72 | UGI |
| Willingness (10) | 6.2 | UGI |
| W10-Adherence | 6.5 | UGI |
| W10-Direct | 6 | UGI |
| Writing | 19.4 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
library_name: gguf
tags:
Quant generated from: https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
The original GGUF quants provided by Orenguteng (https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2-GGUF) did not include a Q6_K, thus I generated one.
At 6.6 GB the Q6_K is a great high quality option for 8GB GPUs.
The author's README evolved over time. Click a version to see its content at that point.
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