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--- |
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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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- roleplay |
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- mistral |
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inference: false |
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license: other |
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--- |
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This repository hosts GGUF-IQ-Imatrix quants for [ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b](https://huggingface.co/ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b). |
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**What does "Imatrix" mean?** |
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It stands for **Importance Matrix**, a technique used to improve the quality of quantized models. |
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The **Imatrix** is calculated based on calibration data, and it helps determine the importance of different model activations during the quantization process. |
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The idea is to preserve the most important information during quantization, which can help reduce the loss of model performance, especially when the calibration data is diverse. |
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[[1]](https://github.com/ggerganov/llama.cpp/discussions/5006) [[2]](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) |
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For imatrix data generation, kalomaze's `groups_merged.txt` with added roleplay chats was used, you can find it [here](https://huggingface.co/Lewdiculous/Datura_7B-GGUF-Imatrix/blob/main/imatrix-with-rp-format-data.txt). This was just to add a bit more diversity to the data. |
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**Steps:** |
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``` |
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Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants) |
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``` |
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*Using the latest llama.cpp at the time.* |
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```python |
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quantization_options = [ |
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"Q4_K_M", "Q4_K_S", "IQ4_XS", "Q5_K_M", "Q5_K_S", |
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"Q6_K", "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS" |
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] |
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``` |
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--- |
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# Kool-Aid |
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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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* ErosEris |
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* CookieNexus |
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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: CookieNexus |
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layer_range: [0, 32] |
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- model: ErosEris |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: CookieNexus |
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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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``` |
