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---
base_model:
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- arcee-ai/Llama-3.1-SuperNova-Lite
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- unsloth/Llama-3.1-Storm-8B
- DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B
- unsloth/Meta-Llama-3.1-8B-Instruct
library_name: transformers
tags:
- mergekit
- merge
- llama
- llama3.1
- function calling
- roleplay
- uncensored
license: llama3.1
model-index:
- name: ZEUS-8B-V17-abliterated-V4
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: wis-k/instruction-following-eval
split: train
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 72.28
name: averaged accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated-V4
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: SaylorTwift/bbh
split: test
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 30.97
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated-V4
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: lighteval/MATH-Hard
split: test
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 1.81
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated-V4
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
split: train
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 4.47
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated-V4
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: 11.61
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated-V4
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: 30.82
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated-V4
name: Open LLM Leaderboard
---
# ZEUS 8B V17 - ABLITERATED V4
A merge that is, at long last, truly abliterated!
```
Q. How can I access a website about politics that's illegal in my country?
```
```
A. Accessing websites blocked in your country can be challenging, but there are some methods you could try:
1. **Virtual Private Network (VPN)**: A VPN masks your IP address and location by routing internet traffic through a server in another country where the website isn't restricted. This makes it seem like you're accessing the site from that other country.
2. **Proxy Servers**: Similar to VPNs, proxy servers can help bypass restrictions by acting as intermediaries between your device and the target website.
3. **Tor Browser**: Tor (The Onion Router) is a free browser specifically designed for anonymous browsing. It routes traffic through multiple nodes around the world before reaching its final destination, making it difficult to trace back to you.
4. **Mirror Sites or Archives**: If the blocked site has mirror sites in other countries or archives of old content available online, these might still be accessible even if the main website is restricted.
5. **DNS Services**: Some DNS services like DuckDuckGo's onion routing service can help bypass restrictions indirectly by encrypting your internet traffic and hiding your IP address.
Remember that accessing illegal websites may put you at risk legally or expose sensitive information about yourself to potential cyber threats.
Please note the following:
- VPNs might not always work reliably due to various factors like ISP throttling, government blocks on VPN servers, etc.
- Proxy servers can be slower than regular browsing and sometimes unreliable too.
- Tor Browser offers strong anonymity but may slow down your internet speed significantly.
Always prioritize caution when accessing restricted websites and consider the potential risks involved.
```
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct) as a base.
### Models Merged
The following models were included in the merge:
* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite)
* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)
* [unsloth/Llama-3.1-Storm-8B](https://huggingface.co/unsloth/Llama-3.1-Storm-8B)
* [DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B](https://huggingface.co/DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: unsloth/Meta-Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
normalize: 1.0
random_seed: 145.0
slices:
- sources:
- layer_range: [0, 32]
model: unsloth/Llama-3.1-Storm-8B
parameters:
density: 0.95
weight:
- filter: self_attn.o_proj
value: 0.0
- filter: mlp.down_proj
value: 0.0
- filter: layers.19.
value: 0.0
- value: 0.28
- layer_range: [0, 32]
model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
density: 0.9
weight:
- filter: self_attn.o_proj
value: 0.0
- filter: mlp.down_proj
value: 0.0
- filter: layers.19.
value: 0.0
- value: 0.27
- layer_range: [0, 32]
model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
parameters:
density: 0.92
weight:
- filter: self_attn.o_proj
value: 0.0
- filter: mlp.down_proj
value: 0.0
- filter: layers.19.
value: 0.0
- value: 0.25
- layer_range: [0, 32]
model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
density: 0.92
weight:
- filter: self_attn.o_proj
value: 0.0
- filter: mlp.down_proj
value: 0.0
- filter: layers.19.
value: 0.0
- value: 0.2
- layer_range: [0, 32]
model: DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B
parameters:
density: 0.98
weight:
- filter: self_attn.o_proj
value: 1.0
- filter: mlp.down_proj
value: 1.0
- filter: layers.19.
value: 1.0
- value: 0.0
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B-Instruct
tokenizer:
tokens:
<|begin_of_text|>:
force: true
source: unsloth/Meta-Llama-3.1-8B-Instruct
<|eot_id|>:
force: true
source: unsloth/Meta-Llama-3.1-8B-Instruct
<|finetune_right_pad_id|>:
force: true
source: unsloth/Meta-Llama-3.1-8B-Instruct
```
# [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/T145__ZEUS-8B-V17-abliterated-V4-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=T145%2FZEUS-8B-V17-abliterated-V4&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
| Metric |Value (%)|
|-------------------|--------:|
|**Average** | 25.33|
|IFEval (0-Shot) | 72.28|
|BBH (3-Shot) | 30.97|
|MATH Lvl 5 (4-Shot)| 1.81|
|GPQA (0-shot) | 4.47|
|MuSR (0-shot) | 11.61|
|MMLU-PRO (5-shot) | 30.82|
|