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mini-llama-200M

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mini-llama-200M
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---
base_model:
- rootxhacker/mini-Llama-70M-SFT-ifeval
- rootxhacker/mini-Llama-70M-SFT
- rootxhacker/mini-Llama-70M-SFT-medical
- rootxhacker/mini-Llama-70M-SFT-math
- rootxhacker/mini-Llama-70M-SFT-v2
- rootxhacker/mini-Llama-70M-SFT-code
- rootxhacker/mini-Llama-70M-SFT-COT
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-ifeval](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-ifeval)
* [rootxhacker/mini-Llama-70M-SFT](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT)
* [rootxhacker/mini-Llama-70M-SFT-medical](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-medical)
* [rootxhacker/mini-Llama-70M-SFT-math](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-math)
* [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)
* [rootxhacker/mini-Llama-70M-SFT-COT](https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-COT)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: rootxhacker/mini-Llama-70M-SFT-v2  # Replace with actual model IDs
        layer_range: [0, 5]  # All 6 layers
  - sources:
      - model: rootxhacker/mini-Llama-70M-SFT-COT
        layer_range: [0, 4]  # First 5 layers
  - sources:
      - model: rootxhacker/mini-Llama-70M-SFT-medical
        layer_range: [0, 4]
  - sources:
      - model: rootxhacker/mini-Llama-70M-SFT-code
        layer_range: [0, 4]
  - sources:
      - model: rootxhacker/mini-Llama-70M-SFT-math
        layer_range: [0, 4]
  - sources:
      - model: rootxhacker/mini-Llama-70M-SFT-ifeval
        layer_range: [0, 4]
  - sources:
      - model: rootxhacker/mini-Llama-70M-SFT-v2
        layer_range: [0, 4]
  - sources:
      - model: rootxhacker/mini-Llama-70M-SFT
        layer_range: [0, 3]
merge_method: passthrough
dtype: bfloat16

```