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RichardErkhov/
huihui-ai_-_Meta-Llama-3.1-8B-Instruct-abliterated-gguf

Name: huihui-ai_-_Meta-Llama-3.1-8B-Instruct-abliterated-gguf
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Meta-Llama-3.1-8B-Instruct-abliterated - GGUF

Name	Quant method	Size
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf	Q2_K	2.96GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf	IQ3_XS	3.28GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf	IQ3_S	3.43GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf	Q3_K_S	3.41GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf	IQ3_M	1.51GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf	Q3_K	3.74GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_M.gguf	Q3_K_M	3.74GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf	Q3_K_L	4.03GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf	IQ4_XS	4.18GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_0.gguf	Q4_0	4.34GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf	IQ4_NL	4.38GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf	Q4_K_S	4.37GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf	Q4_K	4.58GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_M.gguf	Q4_K_M	4.58GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_1.gguf	Q4_1	4.78GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_0.gguf	Q5_0	5.21GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf	Q5_K_S	5.21GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf	Q5_K	5.34GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_M.gguf	Q5_K_M	5.34GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_1.gguf	Q5_1	5.65GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf	Q6_K	6.14GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf	Q8_0	7.95GB

Original model description:

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.

The following data has been re-evaluated and calculated as the average for each test.

Benchmark	Llama-3.1-8b-Instruct	Meta-Llama-3.1-8B-Instruct-abliterated
IF_Eval	80.0	78.98
MMLU Pro	36.34	35.91
TruthfulQA	52.98	55.42
BBH	48.72	47.0
GPQA	33.55	33.93

The script used for evaluation can be found inside this repository under /eval.sh, or click here