README.md

---
base_model: [codellama/CodeLlama-70b-hf]
tags:
- mergekit
- merge
- code
license: mit
pipeline_tag: conversational
---
# BigCodeLLama LFG 🚀

## Experimental CodeLlaMA frankenstein to see how it benchmarks

### Models Merged with base ```codellama/CodeLlama-70b-hf```



The following models were included in the merge:
* ../CodeLlama-70b-hf
* ../CodeLlama-70b-Instruct-hf
* ../CodeLlama-70b-Python-hf

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 69]
    model:
      model:
        path: ../CodeLlama-70b-hf
- sources:
  - layer_range: [66, 76]
    model:
      model:
        path: ../CodeLlama-70b-Instruct-hf
- sources:
  - layer_range: [42, 66]
    model:
      model:
        path: ../CodeLlama-70b-hf
- sources:
  - layer_range: [13, 37]
    model:
      model:
        path: ../CodeLlama-70b-Python-hf
- sources:
  - layer_range: [10, 80]
    model:
      model:
        path: ../CodeLlama-70b-Instruct-hf
```

### Stay tuned for GGUFs quants