---
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](https://github.com/cg123/mergekit):
* [WizardLM/WizardCoder-33B-V1.1](https://huggingface.co/WizardLM/WizardCoder-33B-V1.1)
* [Phind/Phind-CodeLlama-34B-v2](https://huggingface.co/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
\```