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---
base_model:
- akjindal53244/Llama-3.1-Storm-8B
- Sao10K/L3.1-8B-Niitama-v1.1
library_name: transformers
tags:
- merge
- llama
---
# Llama-3.1-Niitorm-8B
RP model, Niitama 1.1 as a base, nearswapped with one of the smartest 3.1 models "Storm", mostly abliterated.
## Thank you mradermacher for the quants!
* [GGUF](https://huggingface.co/mradermacher/L3.1-Niitorm-8B-t0.0001-GGUF)
* [GGUF imatrix](https://huggingface.co/mradermacher/L3.1-Niitorm-8B-t0.0001-i1-GGUF)
## Thank you QuantFactory for the quants!
* [GGUF](https://huggingface.co/QuantFactory/L3.1-Niitorm-8B-t0.0001-GGUF)
-------------------------------------------------------------------------------
## merge
This is a merge of pre-trained language models.
## Merge Details
### Merge Method
This model was merged using the <b>NEARSWAP t0.0001</b> merge algorithm.
### Models Merged
The following models were included in the merge:
* Base Model: [Sao10K/L3.1-8B-Niitama-v1.1](https://huggingface.co/Sao10K/L3.1-8B-Niitama-v1.1) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B)
* [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Sao10K/L3.1-8B-Niitama-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
layer_range: [0, 32]
- model: akjindal53244/Llama-3.1-Storm-8B
layer_range: [0, 32]
merge_method: nearswap
base_model: Sao10K/L3.1-8B-Niitama-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
parameters:
t:
- value: 0.0001
dtype: bfloat16
out_type: float16 #oops
```
# Prompt Template:
```bash
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{output}<|eot_id|>
```
Credit to Alchemonaut.
Credit to woofwolfy for the idea. |