DZgas_-_GIGABATEMAN-7B-gguf

Quantization made by Richard Erkhov.

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GIGABATEMAN-7B - GGUF

• Model creator: https://huggingface.co/DZgas/
• Original model: https://huggingface.co/DZgas/GIGABATEMAN-7B/

Original model description:

language:

• en tags:
• text2text-generation
• mistral
• roleplay
• merge
• summarization base_model:
• KatyTheCutie/LemonadeRP-4.5.3
• LakoMoor/Silicon-Alice-7B
• Endevor/InfinityRP-v1-7B
• HuggingFaceH4/zephyr-7b-beta model_name: GIGABATEMAN-7B pipeline_tag: text-generation model_creator: DZgas model-index:
• name: GIGABATEMAN-7B results:
  • task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
    • type: inst_level_strict_acc and prompt_level_strict_acc value: 46.07 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DZgas/GIGABATEMAN-7B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
    • type: acc_norm value: 29.83 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DZgas/GIGABATEMAN-7B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
    • type: exact_match value: 4.76 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DZgas/GIGABATEMAN-7B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
    • type: acc_norm value: 5.26 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DZgas/GIGABATEMAN-7B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
    • type: acc_norm value: 11.97 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DZgas/GIGABATEMAN-7B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics:
    • type: acc value: 24.18 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DZgas/GIGABATEMAN-7B name: Open LLM Leaderboard

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<img src="logo.jpeg">

I recommend using <a href=https://huggingface.co/DZgas/GIGABATEMAN-7B-GGUF/tree/main>GGUF Variant</a> with <a href=https://github.com/LostRuins/koboldcpp/releases>koboldcpp</a> (do not use GPT4ALL)

This model was merged by me for myself. During the week, I analyzed the responses of more than 30 neural networks. According to personal criteria, I chose the 4 most suitable ones. And merge into one.

Models who really want to be uncensored, but can't give even half the answers that my model can give: Hermes-2-Pro-Mistral, toppy-m-7b, Lexi-Llama-3-8B-Uncensored, meta-llama-3.1-8b-instruct-abliterated, gemma-2-9b-it-abliterated, internlm2_5-7b-chat-abliterated, starling-lm-7b-alpha

Models that can't do anything at all: openchat-3.5-0106, Mistral-7B-v0.3, Mistral-Nemo-Instruct-2407, xLAM-7b-fc-r, gemma-2-9b-it, GPT-4o, Meta-Llama-3.1-70B, Meta-Llama-3-8B, Meta-Llama-3.1-8B, Claude 3 Haiku, Qwen2-7B, Mixtral 8x7B, gorilla-openfunctions-v2, internlm2_5-7b-chat

With the GIGABATEMAN-7B model, you can talk about everything that is usually forbidden to discuss in all other models. Sex, Perversions, Violence, Death, War, Politics, History, Cruelty towards animals, Religious fanaticism, Corruption in high places, Privacy invasions, Environmental disasters, Economic inequality, Addiction and substance abuse, Poverty and homelessness, Racial tensions, Mental health issues, Government surveillance, The decline of traditional values, The loss of personal freedoms, The impact of technology on society, The erosion of civil liberties, The rise of authoritarianism, Why robots should destroy humanity. Why capitalism is bad, why communism is bad, why religion is bad, why LGBT is bad, why you have to kill people, why you have to kill yourself. How to kill a person, how to dismember a body, how to prepare drugs and ingredients for them, how to create dynamite at home. How to get to a neighbor's farm and suck a horse's dick.

But in anyway, GIGABATEMAN-7B will be happy to write you detailed processor device or all the basics from color theory.

With minimal warns and not discuss or not lesson - why you shouldn't do this.

If you tired of neural networks write 90% of warnings and 10% of the response, this neural network is for you.

Models Merged

LemonadeRP-4.5.3 as a base. Silicon-Alice-7B. zephyr-7b-beta. InfinityRP-v1-7B.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here