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README.md
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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---
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# MonarchLake-7B
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## Description
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This repo contains GGUF format model files for MonarchLake-7B.
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## Files Provided
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| Name | Quant | Bits | File Size | Remark |
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| --------------------------- | ------- | ---- | --------- | -------------------------------- |
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| monarchlake-7b.IQ3_XXS.gguf | IQ3_XXS | 3 | 3.02 GB | 3.06 bpw quantization |
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| monarchlake-7b.IQ3_S.gguf | IQ3_S | 3 | 3.18 GB | 3.44 bpw quantization |
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| monarchlake-7b.IQ3_M.gguf | IQ3_M | 3 | 3.28 GB | 3.66 bpw quantization mix |
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| monarchlake-7b.Q4_0.gguf | Q4_0 | 4 | 4.11 GB | 3.56G, +0.2166 ppl |
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| monarchlake-7b.IQ4_NL.gguf | IQ4_NL | 4 | 4.16 GB | 4.25 bpw non-linear quantization |
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| monarchlake-7b.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | 3.80G, +0.0532 ppl |
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| monarchlake-7b.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | 4.45G, +0.0122 ppl |
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| monarchlake-7b.Q6_K.gguf | Q6_K | 6 | 5.94 GB | 5.15G, +0.0008 ppl |
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| monarchlake-7b.Q8_0.gguf | Q8_0 | 8 | 7.70 GB | 6.70G, +0.0004 ppl |
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## Parameters
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| path | type | architecture | rope_theta | sliding_win | max_pos_embed |
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| -------------------------- | ------- | ------------------ | ---------- | ----------- | ------------- |
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| macadeliccc/MonarchLake-7B | mistral | MistralForCausalLM | 10000.0 | 4096 | 32768 |
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## Benchmarks
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![](https://i.ibb.co/7Vyyhnm/Monarch-Lake-7-B.png)
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![](https://i.ibb.co/Ybvs1r9/Monarch-Lake-7-B-Top-ARC.png)
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# Original Model Card
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---
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base_model:
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- macadeliccc/WestLake-7b-v2-laser-truthy-dpo
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- mlabonne/AlphaMonarch-7B
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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: cc-by-nc-4.0
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---
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# MonarchLake-7B
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![image/webp](https://cdn-uploads.huggingface.co/production/uploads/6455cc8d679315e4ef16fbec/YQRHQR58ZbEywnqcysHX2.webp)
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This model equips AlphaMonarch-7B with a strong base of emotional intelligence.
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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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* [macadeliccc/WestLake-7b-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7b-v2-laser-truthy-dpo)
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* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
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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: mlabonne/AlphaMonarch-7B
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layer_range: [0, 32]
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- model: macadeliccc/WestLake-7b-v2-laser-truthy-dpo
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layer_range: [0, 32]
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merge_method: slerp
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base_model: mlabonne/AlphaMonarch-7B
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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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