---
base_model:
- appvoid/palmer-003
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
- matlok/tinyllama-cinder-openhermes-32k
- BEE-spoke-data/TinyLlama-1.1bee
- microsoft/rho-math-1b-interpreter-v0.1
- ShieldX/manovyadh-1.1B-v1-chat
- raidhon/coven_tiny_1.1b_32k_orpo_alpha
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 linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [appvoid/palmer-003](https://huggingface.co/appvoid/palmer-003) as a base.

### Models Merged

The following models were included in the merge:
* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
* [matlok/tinyllama-cinder-openhermes-32k](https://huggingface.co/matlok/tinyllama-cinder-openhermes-32k)
* [BEE-spoke-data/TinyLlama-1.1bee](https://huggingface.co/BEE-spoke-data/TinyLlama-1.1bee)
* [microsoft/rho-math-1b-interpreter-v0.1](https://huggingface.co/microsoft/rho-math-1b-interpreter-v0.1)
* [ShieldX/manovyadh-1.1B-v1-chat](https://huggingface.co/ShieldX/manovyadh-1.1B-v1-chat)
* [raidhon/coven_tiny_1.1b_32k_orpo_alpha](https://huggingface.co/raidhon/coven_tiny_1.1b_32k_orpo_alpha)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: BEE-spoke-data/TinyLlama-1.1bee
    parameters:
      density: 0.33
      weight: 0.50
  - model: raidhon/coven_tiny_1.1b_32k_orpo_alpha
    parameters:
      density: 0.36
      weight: 0.40
  - model: ShieldX/manovyadh-1.1B-v1-chat
    parameters:
      density: 0.33
      weight: 0.30
  - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
    parameters:
      density: 0.40
      weight: 0.45
  - model: matlok/tinyllama-cinder-openhermes-32k
    parameters:
      density: 0.32
      weight: 0.26
  - model: microsoft/rho-math-1b-interpreter-v0.1
    parameters:
      density: 0.38
      weight: 0.35

merge_method: dare_linear
base_model: appvoid/palmer-003
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```