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| ##GGUF's of Seraph-7B from Weyaxi | |
| https://huggingface.co/Weyaxi/Seraph-7B | |
| ##Original Model Card: | |
| Seraph-7B | |
| This is the model for Seraph-7B. I used mergekit to merge models. | |
| Prompt Templates | |
| You can use these prompt templates, but I recommend using ChatML. | |
| ChatML: | |
| <|im_start|>system | |
| {system}<|im_end|> | |
| <|im_start|>user | |
| {user}<|im_end|> | |
| <|im_start|>assistant | |
| {asistant}<|im_end|> | |
| System, User, Asistant Alpaca Style: | |
| ### System: | |
| {system} | |
| ### User: | |
| {user} | |
| ### Assistant: | |
| Yaml Config | |
| slices: | |
| - sources: | |
| - model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp | |
| layer_range: [0, 32] | |
| - model: Q-bert/MetaMath-Cybertron-Starling | |
| layer_range: [0, 32] | |
| merge_method: slerp | |
| base_model: mistralai/Mistral-7B-v0.1 | |
| parameters: | |
| t: | |
| - filter: self_attn | |
| value: [0, 0.5, 0.3, 0.7, 1] | |
| - filter: mlp | |
| value: [1, 0.5, 0.7, 0.3, 0] | |
| - value: 0.5 # fallback for rest of tensors | |
| dtype: bfloat16 | |
| Open LLM Leaderboard Evaluation Results | |
| Detailed results can be found here | |
| Metric Value | |
| Avg. 71.86 | |
| ARC (25-shot) 67.83 | |
| HellaSwag (10-shot) 86.22 | |
| MMLU (5-shot) 65.07 | |
| TruthfulQA (0-shot) 59.49 | |
| Winogrande (5-shot) 80.66 | |
| GSM8K (5-shot) 71.87 |