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---
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 |