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--- |
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base_model: |
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- schnapper79/lumikabra-123B_v0.4 |
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- mistralai/Mistral-Large-Instruct-2407 |
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- TheDrummer/Behemoth-123B-v1 |
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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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license: other |
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--- |
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# Twilight-Large |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit) by @softwareweaver. Use the prompt format that Mistral Large uses. |
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## EXL2 Quants |
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https://huggingface.co/softwareweaver/Twilight-Large-123B-EXL2-5bpw |
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## GGUF Quants |
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https://huggingface.co/mradermacher/Twilight-Large-123B-GGUF |
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https://huggingface.co/mradermacher/Twilight-Large-123B-i1-GGUF |
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Use ***--chat-template llama2*** when using llama.cpp |
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## Control Vectors |
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You can use Control Vectors for Mistral Large |
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https://huggingface.co/jukofyork/creative-writing-control-vectors-v3.0/tree/main/Mistral-Large-Instruct-2407 |
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Control vectors allow fine-tuned control over LLMs, enabling more precise/targeted text generation. |
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More info https://huggingface.co/jukofyork/creative-writing-control-vectors-v3.0 |
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## Sample Generations |
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Some sample generations https://huggingface.co/softwareweaver/Twilight-Large-123B/discussions |
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Please add your own generations to the community tab. This allows others to evaluate the model outputs before downloading it. |
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## Merge Details |
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### Merge Method |
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This model was merged using the della_linear merge method using [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407) 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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* [schnapper79/lumikabra-123B_v0.4](https://huggingface.co/schnapper79/lumikabra-123B_v0.4) |
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* [TheDrummer/Behemoth-123B-v1](https://huggingface.co/TheDrummer/Behemoth-123B-v1) |
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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: TheDrummer/Behemoth-123B-v1 |
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parameters: |
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weight: 0.25 |
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density: 0.9 |
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- model: schnapper79/lumikabra-123B_v0.4 |
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parameters: |
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weight: 0.3 |
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density: 0.9 |
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merge_method: della_linear |
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base_model: mistralai/Mistral-Large-Instruct-2407 |
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parameters: |
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epsilon: 0.05 |
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lambda: 1 |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
