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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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 |
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 |
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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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 |
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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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