|
--- |
|
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 |
|
--- |
|
<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](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_DZgas__GIGABATEMAN-7B) |
|
|
|
| Metric |Value| |
|
|-------------------|----:| |
|
|Avg. |20.35| |
|
|IFEval (0-Shot) |46.07| |
|
|BBH (3-Shot) |29.83| |
|
|MATH Lvl 5 (4-Shot)| 4.76| |
|
|GPQA (0-shot) | 5.26| |
|
|MuSR (0-shot) |11.97| |
|
|MMLU-PRO (5-shot) |24.18| |
|
|
|
|
