--- language: - en license: apache-2.0 tags: - dare - super mario merge - pytorch - solar - merge pipeline_tag: text-generation inference: false model-index: - name: solar-megamerge-dare-10.7b-v1 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: 66.13 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1 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: 85.3 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1 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: 66.03 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1 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: 54.33 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1 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: 82.95 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1 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: 58.0 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1 name: Open LLM Leaderboard --- # solar megamerge 10.7b The following models were merged with DARE using [https://github.com/martyn/safetensors-merge-supermario](https://github.com/martyn/safetensors-merge-supermario) ## Mergelist ``` models: - model: upstage/SOLAR-10.7B-v1.0 - model: upstage/SOLAR-10.7B-Instruct-v1.0 parameters: weight: 0.20 density: 0.8 - model: kyujinpy/SOLAR-Platypus-10.7B-v1 parameters: weight: 0.19 density: 0.75 - model: We-Want-GPU/SOLAR-10.7B-orca-alpaca-gpt4-math parameters: weight: 0.18 density: 0.75 - model: maywell/Synatra-10.7B-v0.4 parameters: weight: 0.18 density: 0.7 - model: kyujinpy/SOLAR-Platypus-10.7B-v2 parameters: weight: 0.17 density: 0.7 - model: Sao10K/Frostwind-10.7B-v1 parameters: weight: 0.16 density: 0.65 - model: rishiraj/meow parameters: weight: 0.15 density: 0.6 ``` ## Merge command ``` python3 hf_merge.py mergelist.yaml solar-1 ``` ### Notes * in the yaml: `p=weight` and `lambda=1/density` # [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_martyn__solar-megamerge-dare-10.7b-v1) | Metric |Value| |---------------------------------|----:| |Avg. |68.79| |AI2 Reasoning Challenge (25-Shot)|66.13| |HellaSwag (10-Shot) |85.30| |MMLU (5-Shot) |66.03| |TruthfulQA (0-shot) |54.33| |Winogrande (5-shot) |82.95| |GSM8k (5-shot) |58.00|