--- license: llama3 library_name: transformers tags: - mergekit - merge base_model: - nbeerbower/llama-3-spicy-8B - nbeerbower/llama-3-stella-8B - saishf/Aura-Uncensored-OAS-8B-L3 - cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2 model-index: - name: llama-3-spicy-abliterated-stella-8B results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 65.19 name: normalized accuracy source: url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 81.98 name: normalized accuracy source: url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 67.88 name: accuracy source: url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 53.65 source: url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 76.48 name: accuracy source: url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 70.43 name: accuracy source: url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B name: Open LLM Leaderboard --- # llama-3-spicy-abliterated-stella-8B This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [nbeerbower/llama-3-spicy-8B](https://huggingface.co./nbeerbower/llama-3-spicy-8B) as a base. ### Models Merged The following models were included in the merge: * [nbeerbower/llama-3-stella-8B](https://huggingface.co./nbeerbower/llama-3-stella-8B) * [saishf/Aura-Uncensored-OAS-8B-L3](https://huggingface.co./saishf/Aura-Uncensored-OAS-8B-L3) * [cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2](https://huggingface.co./cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: nbeerbower/llama-3-stella-8B - model: saishf/Aura-Uncensored-OAS-8B-L3 - model: cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2 merge_method: model_stock base_model: nbeerbower/llama-3-spicy-8B dtype: bfloat16 ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_nbeerbower__llama-3-spicy-abliterated-stella-8B) | Metric |Value| |---------------------------------|----:| |Avg. |69.27| |AI2 Reasoning Challenge (25-Shot)|65.19| |HellaSwag (10-Shot) |81.98| |MMLU (5-Shot) |67.88| |TruthfulQA (0-shot) |53.65| |Winogrande (5-shot) |76.48| |GSM8k (5-shot) |70.43|