license, model-index, library_name, pipeline_tag, tags

license	model-index	library_name	pipeline_tag	tags
llama3.1	name results Llama-3.1-8B-Lexi-Uncensored-V2 task dataset metrics source type name text-generation Text Generation name type args IFEval (0-Shot) HuggingFaceH4/ifeval num_few_shot 0 type value name inst_level_strict_acc and prompt_level_strict_acc 77.92 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args BBH (3-Shot) BBH num_few_shot 3 type value name acc_norm 29.69 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MATH Lvl 5 (4-Shot) hendrycks/competition_math num_few_shot 4 type value name exact_match 16.92 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args GPQA (0-shot) Idavidrein/gpqa num_few_shot 0 type value name acc_norm 4.36 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MuSR (0-shot) TAUR-Lab/MuSR num_few_shot 0 type value name acc_norm 7.77 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU-PRO (5-shot) TIGER-Lab/MMLU-Pro main test num_few_shot 5 type value name acc 30.9 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 Open LLM Leaderboard	transformers	text-generation	Llama-3.1 8B Lexi Heretic Uncensored Abliterated GGUF

Llama-3.1-8B-Lexi-Uncensored-V2-Heretic-GGUF

A decensored version of Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2, made using Heretic v1.0.1

	Llama-3.1-8B-Lexi-Uncensored-V2-Heretic	Original model (Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
Refusals	2/100	35/100
KL divergence	0.02	0 (by definition)

Heretic Abliteration Parameters

Parameter	Value
direction_index	per layer
attn.o_proj.max_weight	0.95
attn.o_proj.max_weight_position	19.12
attn.o_proj.min_weight	0.93
attn.o_proj.min_weight_distance	9.83
mlp.down_proj.max_weight	0.98
mlp.down_proj.max_weight_position	23.23
mlp.down_proj.min_weight	0.10
mlp.down_proj.min_weight_distance	5.19

Safetensors Version

Safetensors version available at ChiKoi7/Llama-3.1-8B-Lexi-Uncensored-V2-Heretic

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VERSION 2 Update Notes:

• More compliant
• Smarter
• For best response, use this system prompt (feel free to expand upon it as you wish):

Think step by step with a logical reasoning and intellectual sense before you provide any response.

• For more uncensored and compliant response, you can expand the system message differently, or simply enter a dot "." as system message.

• IMPORTANT: Upon further investigation, the Q4 seems to have refusal issues sometimes. There seems to be some of the fine-tune loss happening due to the quantization. I will look into it for V3. Until then, I suggest you run F16 or Q8 if possible.

GENERAL INFO:

This model is based on Llama-3.1-8b-Instruct, and is governed by META LLAMA 3.1 COMMUNITY LICENSE AGREEMENT

Lexi is uncensored, which makes the model compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones.

You are responsible for any content you create using this model. Please use it responsibly.

Lexi is licensed according to Meta's Llama license. I grant permission for any use, including commercial, that falls within accordance with Meta's Llama-3.1 license.

IMPORTANT:

Use the same template as the official Llama 3.1 8B instruct. System tokens must be present during inference, even if you set an empty system message. If you are unsure, just add a short system message as you wish.

FEEDBACK:

If you find any issues or have suggestions for improvements, feel free to leave a review and I will look into it for upcoming improvements and next version.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	27.93
IFEval (0-Shot)	77.92
BBH (3-Shot)	29.69
MATH Lvl 5 (4-Shot)	16.92
GPQA (0-shot)	4.36
MuSR (0-shot)	7.77
MMLU-PRO (5-shot)	30.90