DISCLAIMER: THIS PROBABLY DOESNT WORK
wizardphind-coder-passthrough-39B
wizardphind-coder-passthrough-39B is a merge of the following models using mergekit:
wizardphind-coder-passthrough-39B is an experimental model combining the deepseek-33B and codellama-34B models. I expect the model to become much better when trained further on coding specific tasks.
Since deepseek & the codellama models have different sized tensors for their MLP/Attention layers, this model will be initialized with empty layers and will need to be fine-tuned futher.
This model utilizes all the layers of the Wizard Coder 33B model and 8 layers from Phind's Codellama 34B model.
🧩 Configuration
```yaml slices:
- sources:
- model: WizardLM/WizardCoder-33B-V1.1 layer_range: [0, 62]
- sources:
- model: Phind/Phind-CodeLlama-34B-v2 layer_range: [24, 32] merge_method: passthrough dtype: bfloat16 ```
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