--- 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|