README.md

---
base_model: [codellama/CodeLlama-70b-Instruct-hf]
tags:
- mergekit
- merge
- code
license: mit
pipeline_tag: conversational
---
# BigCodeLLama 92b LFG 🚀

## Experimental 92B CodeLlaMA frankenstein to see how it benchmarks

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



### Models Merged

The following models were included in the merge:
* ../CodeLlama-70b-Python-hf
* ../CodeLlama-70b-Instruct-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-Instruct-hf
- sources:
  - layer_range: [42, 80]
    model:
      model:
        path: ../CodeLlama-70b-Python-hf
```
Gguf available here https://huggingface.co/nisten/BigCodeLlama-92b-GGUF