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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
---
# 2x_bagel-34b-v0.2
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:
* ./jondurbin_bagel-34b-v0.2
### Configuration
The following YAML configuration was used to produce this model:
```yaml
dtype: float32
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 20]
model: "jondurbin_bagel-34b-v0.2"
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
- sources:
- layer_range: [10, 30]
model: "jondurbin_bagel-34b-v0.2"
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
- sources:
- layer_range: [20, 40]
model: "jondurbin_bagel-34b-v0.2"
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
- sources:
- layer_range: [30, 50]
model: "jondurbin_bagel-34b-v0.2"
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
- sources:
- layer_range: [40, 60]
model: "jondurbin_bagel-34b-v0.2"
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
name: 2xbagel_fp32
---
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 100]
model: 2xbagel_fp32
name: bagel_new
```
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