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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# Credit for the model card's description goes to ddh0 and mergekit
# Looking for [Mistral-10.7B-Instruct-v0.2?](https://huggingface.co/ddh0/Mistral-10.7B-Instruct-v0.2)
# Credit for access and conversion of Mistral-7B-v0.2 goes to alpindale (from MistalAI's weights to HF Transformers)
# Mistral-10.7B-v0.2
This is Mistral-10.7B-v0.2, a depth-upscaled version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf).
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the original 7 billion parameter model.
Paper detailing how Depth-Up Scaling works: [SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling](https://arxiv.org/abs/2312.15166)
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:
* /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
### Configuration
The following YAML configuration was used to produce this model:
```yaml
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 24]
model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
- sources:
- layer_range: [8, 32]
model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
``` |