README.md

metadata

license: apache-2.0
tags:
  - merge
  - mergekit
  - lazymergekit
  - WizardLM/WizardCoder-33B-V1.1
  - Phind/Phind-CodeLlama-34B-v2
base_model:
  - WizardLM/WizardCoder-33B-V1.1
  - Phind/Phind-CodeLlama-34B-v2

DISCLAIMER: THIS PROBABLY DOESNT WORK

wizardphind-coder-passthrough-39B

wizardphind-coder-passthrough-39B is a merge of the following models using mergekit:

• WizardLM/WizardCoder-33B-V1.1
• Phind/Phind-CodeLlama-34B-v2

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 ```