60 lines
1.6 KiB
Markdown
60 lines
1.6 KiB
Markdown
---
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license: apache-2.0
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language:
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- en
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tags:
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- merge
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base_model:
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- Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
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- EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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---
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# Model Description
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This is an experiment to test merging 14 models using DARE TIES 🦙
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We first merge 14 models to produce [EmbeddedLLM/Mistral-7B-Merge-14-v0.3](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.3),
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which is then merged again with [Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp) using Gradient SLERP.
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The result is a model that performs quite well but may require further instruction fine-tuning.
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## Open LLM Leaderboard
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| Average | 71.19 |
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| ARC | 66.81 |
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| HellaSwag | 86.15 |
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| MMLU | 65.10 |
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| TruthfulQA | 58.25 |
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| Winogrande | 80.03 |
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| GSM8K | 70.81 |
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## Chat Template
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Either ChatML or Llama-2 chat template.
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## Merge Configuration
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The merge config file for this model is here:
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```yaml
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slices:
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- sources:
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- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
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layer_range: [0, 32]
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- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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layer_range: [0, 32]
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merge_method: slerp
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base_model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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tokenizer_source: base
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embed_slerp: true
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dtype: bfloat16
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``` |