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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- Nitral-AI/Nyan-Stunna-7B |
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- Nitral-AI/Kunocchini-7b-128k-test |
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- gguf |
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- Q2_K |
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- Q3_K_L |
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- Q3_K_M |
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- Q3_K_S |
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- Q4_0 |
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- Q4_1 |
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- Q4_K_S |
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- Q4_k_m |
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- Q5_0 |
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- Q5_1 |
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- Q6_K |
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- Q5_K_S |
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- Q5_k_m |
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- Q8_0 |
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- 128k |
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language: |
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- en |
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- ru |
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- th |
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--- |
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# NSK-7B-128k-slerp |
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NSK-7B-128k-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): |
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* [Nitral-AI/Nyan-Stunna-7B](https://huggingface.co/Nitral-AI/Nyan-Stunna-7B) |
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* [Nitral-AI/Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test) |
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## 🧩 Configuration |
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```yaml |
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slices: |
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- sources: |
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- model: Nitral-AI/Nyan-Stunna-7B |
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layer_range: [0, 32] |
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- model: Nitral-AI/Kunocchini-7b-128k-test |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: Nitral-AI/Kunocchini-7b-128k-test |
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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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``` |
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Eval embedding benchmark (with 70 specific quesions): |
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