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---
base_model:
- meta-llama/Llama-3.1-8B-Instruct
- grimjim/llama-3-Nephilim-v3-8B
library_name: transformers
pipeline_tag: text-generation
tags:
- mergekit
- merge
license: llama3.1
---
# Llama-Nephilim-Metamorphosis-v2-8B
This repo contains a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
A coherent Llama 3 model (composed of fine-tunes based on Instruct) was merged at low weight into a Llama 3.1 Instruct model. No fine-tuning was performed afterward. The resulting model is mostly coherent for direct chat and text generation, retaining long context capability of 3.1.
A gradient merge was used at the ends and the the embed_tokens and lm_head layers retained from 3.1, which should better preserve handling of context above 8K tokens.
Testing has been performed out to 16K context, using temperature 1 and minP 0.01. Safety remains mostly intact.
Built with Llama.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
* [grimjim/llama-3-Nephilim-v3-8B](https://huggingface.co/grimjim/llama-3-Nephilim-v3-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: meta-llama/Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: slerp
slices:
- sources:
- model: meta-llama/Llama-3.1-8B-Instruct
layer_range: [0, 32]
- model: grimjim/llama-3-Nephilim-v3-8B
layer_range: [0, 32]
value: [0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.08, 0.06, 0.04, 0.02, 0.0]
parameters:
t:
- filter: embed_tokens
value: 0.0
- filter: lm_head
value: 0.0
- value: 0.1
```
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