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Quantization made by Richard Erkhov.
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gemma-merged-one-layer-only - AWQ
- Model creator: https://huggingface.co/choprahetarth/
- Original model: https://huggingface.co/choprahetarth/gemma-merged-one-layer-only/
Original model description:
---
base_model:
- google/gemma-2-2b
- google/gemma-2-2b-it
library_name: transformers
tags:
- mergekit
- merge
---
# Untitled Model (1)
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) as a base.
### Models Merged
The following models were included in the merge:
* [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: google/gemma-2-2b
dtype: bfloat16
merge_method: ties
parameters:
int8_mask: 1.0
normalize: 1.0
slices:
- sources:
- layer_range: [0, 26]
model: google/gemma-2-2b
- layer_range: [0, 26]
model: google/gemma-2-2b-it
parameters:
density:
- filter: self_attn.o_proj.9
value: 1.0
- value: 0.001
weight:
- value: 1.0
tokenizer_source: union
```