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--- |
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license: mit |
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pipeline_tag: text-generation |
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--- |
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Imatrix compressions of FP Merge of "D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0". |
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"Imatrix Plus" is an upgraded form of Imatrix which using full precision for specific parts of the compression. |
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As a result all compressions will be slightly larger in size than standard 7B compressions. |
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This method results in a higher quality model, especially at lower compressions. |
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This method is applied across all compressions from IQ1 to Q8. |
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Even IQ1_S - the most compressed verison - works well, however IQ4/Q4 are suggested as minimums for quality. |
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Highest quality will be Q6/Q8. |
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Q8 Imatrix Plus quality will exceed standard Q8 and Regular Imatrix Q8. |
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This merge was an experiment to test already established Roleplay, Fiction and Story |
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generation of "DarkSapling" with a some of "Bagel"'s qualities with a Mistral Instruct Base. |
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For Imatrix plus this was a test of high precision in specific areas of the model leading to a slightly larger compressed file. |
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In addition the Imatrix process itself used a larger "calibration" file than standard was used to further enhance quality. |
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The process added appoximately 250 MB to each compressed file. |
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An additional enhancement added another 250 mb to each compressed file. |
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A blank or standard Alpaca Template for text generation will work. |
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Context length: 32768. |
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Please see the orginal model card for specific details of use, additional credits and tips under "Models Merged" below. |
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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 SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [TeeZee/DarkSapling-7B-v2.0](https://huggingface.co/TeeZee/DarkSapling-7B-v2.0) |
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* [MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp](https://huggingface.co/MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp) |
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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: MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp |
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layer_range: [0, 32] |
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- model: TeeZee/DarkSapling-7B-v2.0 |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
