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--- |
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license: apache-2.0 |
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base_model: |
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- Qwen/Qwen1.5-7B-Chat |
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- deepseek-ai/deepseek-coder-6.7b-instruct |
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tags: |
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- merge |
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- mergekit |
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- qwen |
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- deepseek |
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- coder |
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- slerp |
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--- |
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# Qwen15-DeepSeek-Coder-Merge |
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This is a merge of pre-trained language models created using MergeKit, combining the foundational capabilities of Qwen 1.5 with DeepSeek Coder's programming expertise 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 to achieve optimal performance balance: |
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- **Weighted Blend**: t=0.6 provides a slightly stronger influence from the DeepSeek Coder model |
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- **Complete Layer Merging**: Full layer-range coverage ensures comprehensive knowledge transfer |
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- **Format**: bfloat16 precision for efficient memory usage |
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### Models Merged |
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* [Qwen/Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) - Alibaba's Qwen 1.5 chat model known for its strong conversational capabilities and instruction following |
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* [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) - DeepSeek's specialized coding model with excellent programming language understanding and code generation abilities |
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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: Qwen/Qwen1.5-7B-Chat |
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layer_range: [0, 32] |
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- model: deepseek-ai/deepseek-coder-6.7b-instruct |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: Qwen/Qwen1.5-7B-Chat |
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parameters: |
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t: 0.6 |
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dtype: bfloat16 |
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``` |
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## Model Capabilities |
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This merge combines: |
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- Qwen 1.5's strong instruction following and general knowledge capabilities |
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- DeepSeek Coder's specialized programming expertise and code generation abilities |
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- Enhanced technical understanding and explanation capabilities |
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- Fully open architecture with no usage restrictions |
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The resulting model provides enhanced performance on tasks requiring both conversational fluency and programming expertise, such as: |
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- Code generation across multiple programming languages |
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- Technical documentation and explanations |
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- Algorithm implementation and problem-solving |
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- Software development assistance with natural language understanding |
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- Debugging and code optimization suggestions |
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## Limitations |
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- Inherits limitations from both base models |
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- May exhibit inconsistent behavior for certain advanced programming tasks |
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- No additional alignment or fine-tuning beyond the base models' training |
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- Model was created through parameter merging without additional training data |
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- Slight model size mismatch (7B vs 6.7B) may introduce some parameter interpolation artifacts |
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## License |
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This model is released under the Apache 2.0 license, consistent with the underlying models' licenses. |
