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README.md
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@@ -88,6 +88,10 @@ Adding a normalize parameter (true) to stabilize weight norms post-merge, reduci
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Introducing density parameters to control how much of each model's "mass" is retained, biased toward the stronger reasoning model.
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Adding a small randomization factor for exploratory merging, which can lead to unexpectedly strong variants in practice.
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## 💻 Usage
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```python
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Introducing density parameters to control how much of each model's "mass" is retained, biased toward the stronger reasoning model.
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Adding a small randomization factor for exploratory merging, which can lead to unexpectedly strong variants in practice.
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## GGUF quantized version
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Q4-K-M GGUF version is provided here: [Q4-K-M](https://huggingface.co/powermove72/CodeMistral-Instruct-7B-AdvancedSlerp-v1-Q4_K_M-GGUF)
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## 💻 Usage
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```python
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