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README.md

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+---
+license: other
+license_name: deepseek
+license_link: https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/LICENSE-MODEL
+---
+DeepMagic-Coder-7b
+
+Alternate version:
+- https://huggingface.co/rombodawg/DeepMagic-Coder-7b-Alt
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/LlbswwXZQoIQziTNEMSMk.jpeg)
+
+This is an extremely successful merge of the deepseek-coder-6.7b-instruct and Magicoder-S-DS-6.7B models, bringing an uplift in overall coding performance without any compromise to the models integrity (at least with limited testing).
+
+This is the first of my models to use the merge-kits *task_arithmetic* merging method. The method is detailed bellow, and its clearly very usefull for merging ai models that were fine-tuned from a common base:
+
+Task Arithmetic:
+```
+Computes "task vectors" for each model by subtracting a base model. 
+Merges the task vectors linearly and adds back the base. 
+Works great for models that were fine tuned from a common ancestor. 
+Also a super useful mental framework for several of the more involved 
+merge methods.
+```
+
+The original models used in this merge can be found here:
+
+- https://huggingface.co/ise-uiuc/Magicoder-S-DS-6.7B
+
+- https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct
+
+
+The Merge was created using Mergekit and the paremeters can be found bellow:
+```yaml
+models:
+  - model: deepseek-ai_deepseek-coder-6.7b-instruct
+    parameters:
+      weight: 1
+  - model: ise-uiuc_Magicoder-S-DS-6.7B
+    parameters:
+      weight: 1
+merge_method: task_arithmetic
+base_model: ise-uiuc_Magicoder-S-DS-6.7B
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+```