54 lines
1.3 KiB
Markdown
54 lines
1.3 KiB
Markdown
---
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base_model:
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- OpenPipe/mistral-ft-optimized-1218
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- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: cc-by-nc-4.0
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---
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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I have provided a .gguf Q4_K_M for cpu inference as well.
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This repository serves as a learning experience for myself to experiment with merged models & gguf conversions.
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Credits:
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* mergekit
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* llama.cpp
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
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* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: OpenPipe/mistral-ft-optimized-1218
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layer_range: [0, 32]
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- model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
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layer_range: [0, 32]
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merge_method: slerp
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base_model: OpenPipe/mistral-ft-optimized-1218
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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
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dtype: bfloat16
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``` |