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Quantization made by Richard Erkhov. |
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[Github](https://github.com/RichardErkhov) |
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[Discord](https://discord.gg/pvy7H8DZMG) |
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[Request more models](https://github.com/RichardErkhov/quant_request) |
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MFANNv0.14.10 - bnb 4bits |
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- Model creator: https://huggingface.co/netcat420/ |
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- Original model: https://huggingface.co/netcat420/MFANNv0.14.10/ |
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Original model description: |
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--- |
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base_model: |
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- netcat420/MFANNv0.14 |
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- MaziyarPanahi/Llama-3-8B-Instruct-v0.4 |
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- netcat420/MFANNv0.13 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# MFANNv0.14.10 |
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [MaziyarPanahi/Llama-3-8B-Instruct-v0.4](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.4) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [netcat420/MFANNv0.14](https://huggingface.co/netcat420/MFANNv0.14) |
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* [netcat420/MFANNv0.13](https://huggingface.co/netcat420/MFANNv0.13) |
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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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models: |
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- model: netcat420/MFANNv0.14 |
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parameters: |
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density: [1, 0.7, 0.1] # density gradient |
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weight: 1.0 |
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- model: netcat420/MFANNv0.13 |
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parameters: |
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density: [1, 0.7, 0.1] # density gradient |
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weight: 1.0 |
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merge_method: ties |
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base_model: MaziyarPanahi/Llama-3-8B-Instruct-v0.4 |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: float16 |
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``` |
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