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--- |
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license: apache-2.0 |
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base_model: |
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- OpenPipe/mistral-ft-optimized-1218 |
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- mlabonne/NeuralHermes-2.5-Mistral-7B |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- mistral |
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- optimized |
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--- |
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# NeuralPipe-7B-slerp |
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This is a merge of pre-trained language models created using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing), combining the capabilities of OpenPipe's optimized Mistral and NeuralHermes through an efficient SLERP fusion. |
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## About Me |
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I'm David Soeiro-Vuong, a third-year Computer Science student working as an apprentice at TW3 Partners, a company specialized in Generative AI. Passionate about artificial intelligence and language models optimization, I focus on creating efficient model merges that balance performance and capabilities. |
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🔗 [Connect with me on LinkedIn](https://www.linkedin.com/in/david-soeiro-vuong-a28b582ba/) |
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## Merge Details |
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### Merge Method |
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This model uses SLERP (Spherical Linear Interpolation) with carefully tuned parameters: |
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- Optimized attention layer fusion patterns |
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- Balanced MLP layer transitions |
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- bfloat16 format for efficient memory usage |
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- Full layer utilization for maximum capability retention |
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### Models Merged |
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* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218) |
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* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) |
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### Configuration |
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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: mlabonne/NeuralHermes-2.5-Mistral-7B |
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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 |
