--- license: cc-by-nc-4.0 --- Don't mind those at the moment, I need to finetune them for RP, it's just some tests. WARNING: This model specifically need EOS token I completely forgot to put on the json files, and need to check what was the right ones trough the mix. Please don't use it like this if you really want to review it. ``` slices: - sources: - model: "/content/drive/MyDrive/CC-v1.1-7B-bf16" layer_range: [0, 24] - sources: - model: "/content/drive/MyDrive/Zephyr-7B" layer_range: [8, 32] merge_method: passthrough dtype: bfloat16 ================================================ slices: - sources: - model: "/content/drive/MyDrive/Mistral-11B-CC-Zephyr" layer_range: [0, 48] - model: Undi95/Mistral-11B-OpenOrcaPlatypus layer_range: [0, 48] merge_method: slerp base_model: "/content/drive/MyDrive/Mistral-11B-CC-Zephyr" parameters: t: - value: 0.5 # fallback for rest of tensors dtype: bfloat16 ``` hf-causal-experimental (pretrained=/content/drive/MyDrive/Mistral-11B-Test), limit: None, provide_description: False, num_fewshot: 0, batch_size: 4 | Task |Version| Metric |Value | |Stderr| |-------------|------:|--------|-----:|---|-----:| |arc_challenge| 0|acc |0.5623|± |0.0145| | | |acc_norm|0.5794|± |0.0144| |arc_easy | 0|acc |0.8354|± |0.0076| | | |acc_norm|0.8165|± |0.0079| |hellaswag | 0|acc |0.6389|± |0.0048| | | |acc_norm|0.8236|± |0.0038| |piqa | 0|acc |0.8139|± |0.0091| | | |acc_norm|0.8264|± |0.0088| |truthfulqa_mc| 1|mc1 |0.3978|± |0.0171| | | |mc2 |0.5607|± |0.0155| |winogrande | 0|acc |0.7451|± |0.0122| ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/8f-rAHIfN1ZuW4HqkzYz-.png) # [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_Undi95__Mistral-11B-TestBench9) | Metric | Value | |-----------------------|---------------------------| | Avg. | 53.06 | | ARC (25-shot) | 64.08 | | HellaSwag (10-shot) | 84.24 | | MMLU (5-shot) | 64.0 | | TruthfulQA (0-shot) | 56.19 | | Winogrande (5-shot) | 78.45 | | GSM8K (5-shot) | 16.15 | | DROP (3-shot) | 8.35 |