Create README.md
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README.md
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---
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base_model:
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- akjindal53244/Llama-3.1-Storm-8B
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- Sao10K/L3.1-8B-Niitama-v1.1
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library_name: transformers
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tags:
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- merge
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- llama
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---
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# Llama-3.1-Niitorm-8B
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/dq5jKo1eCV8qapmfF4h3V.png)
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RP model, Niitama 1.1 nearswapped with one of the smartest 3.1 models, half abliterated.
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# Thanks mradermacher for the quants:
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* [GGUF](https://huggingface.co/mradermacher/L3.1-Sthenorm-8B-GGUF)
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* [GGUF imatrix](https://huggingface.co/mradermacher/L3.1-Sthenorm-8B-i1-GGUF)
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## merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the <b>NEARSWAP t0.0001</b> merge method.
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### Models Merged
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The following models were included in the merge:
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* [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)
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* [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: Sao10K/L3.1-8B-Niitama-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
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layer_range: [0, 32]
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- model: akjindal53244/Llama-3.1-Storm-8B
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layer_range: [0, 32]
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merge_method: nearswap
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base_model: Sao10K/L3.1-8B-Niitama-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
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parameters:
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t:
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- value: 0.0001
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dtype: bfloat16
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```
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# Prompt Template:
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```bash
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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{output}<|eot_id|>
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```
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