mini-llama-400M / README.md
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---
base_model:
- rootxhacker/mini-Llama-70M-SFT-math
- rootxhacker/mini-Llama-70M-SFT
- rootxhacker/mini-Llama-70M-SFT-ifeval
- rootxhacker/mini-Llama-70M-SFT-COT
- rootxhacker/mini-Llama-70M-SFT-medical
- rootxhacker/mini-Llama-70M-SFT-v2
- rootxhacker/mini-Llama-70M-SFT-code
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the Passthrough merge method.
### Models Merged
The following models were included in the merge:
* [rootxhacker/mini-Llama-70M-SFT-math](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-math)
* [rootxhacker/mini-Llama-70M-SFT](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT)
* [rootxhacker/mini-Llama-70M-SFT-ifeval](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-ifeval)
* [rootxhacker/mini-Llama-70M-SFT-COT](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-COT)
* [rootxhacker/mini-Llama-70M-SFT-medical](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-medical)
* [rootxhacker/mini-Llama-70M-SFT-v2](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-v2)
* [rootxhacker/mini-Llama-70M-SFT-code](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-code)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: rootxhacker/mini-Llama-70M-SFT-v2 # Core reasoning
layer_range: [0, 5] # Full 6 layers
- sources:
- model: rootxhacker/mini-Llama-70M-SFT-COT
layer_range: [0, 5] # Full 6 layers
- sources:
- model: rootxhacker/mini-Llama-70M-SFT-medical
layer_range: [0, 5]
- sources:
- model: rootxhacker/mini-Llama-70M-SFT-code
layer_range: [0, 5]
- sources:
- model: rootxhacker/mini-Llama-70M-SFT-math
layer_range: [0, 5]
- sources:
- model: rootxhacker/mini-Llama-70M-SFT-ifeval
layer_range: [0, 4] # 5 layers
- sources:
- model: rootxhacker/mini-Llama-70M-SFT-v2
layer_range: [0, 4] # 5 layers
- sources:
- model: rootxhacker/mini-Llama-70M-SFT
layer_range: [0, 4] # 5 layers
merge_method: passthrough
dtype: bfloat16
```