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---
base_model:
- NousResearch/Meta-Llama-3-8B-Instruct
- NousResearch/Meta-Llama-3-8B
library_name: transformers
tags:
- mergekit
- merge
---
# Meta-Llama-3-8B-InitializedEmbeds
This is just [Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) with the embeddings for special tokens copied from the Instruct version. Should behave pretty much identically to the base model, but with less glossolalia when it encounters `<|start_header_id|>` and the like.
I'm using this as a base to fine tune. Having these embeddings reasonable instead of randomly initialized should give a smoother start.
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](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: linear
dtype: float32
out_dtype: bfloat16
models:
- model: NousResearch/Meta-Llama-3-8B
parameters:
weight: 1.0
- model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
weight: 0.0
tokenizer:
source: NousResearch/Meta-Llama-3-8B-Instruct
tokens:
<|start_header_id|>:
source: NousResearch/Meta-Llama-3-8B-Instruct
force: true
<|end_header_id|>:
source: NousResearch/Meta-Llama-3-8B-Instruct
force: true
<|eot_id|>:
source: NousResearch/Meta-Llama-3-8B-Instruct
force: true
<|end_of_text|>:
source: NousResearch/Meta-Llama-3-8B-Instruct
force: true
<|begin_of_text|>:
source: NousResearch/Meta-Llama-3-8B-Instruct
force: true
```
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