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---
base_model:
- AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling
- microsoft/rho-math-1b-interpreter-v0.1
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
- BEE-spoke-data/TinyLlama-1.1bee
- appvoid/palmer-003
- raidhon/coven_tiny_1.1b_32k_orpo_alpha
- ShieldX/manovyadh-1.1B-v1-chat
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:
* [AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling](https://huggingface.co/AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling)
* [microsoft/rho-math-1b-interpreter-v0.1](https://huggingface.co/microsoft/rho-math-1b-interpreter-v0.1)
* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
* [BEE-spoke-data/TinyLlama-1.1bee](https://huggingface.co/BEE-spoke-data/TinyLlama-1.1bee)
* [raidhon/coven_tiny_1.1b_32k_orpo_alpha](https://huggingface.co/raidhon/coven_tiny_1.1b_32k_orpo_alpha)
* [ShieldX/manovyadh-1.1B-v1-chat](https://huggingface.co/ShieldX/manovyadh-1.1B-v1-chat)
### 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: AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling
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
```