--- base_model: - macadeliccc/WestLake-7b-v2-laser-truthy-dpo - mlabonne/AlphaMonarch-7B library_name: transformers tags: - mergekit - merge license: cc-by-nc-4.0 --- # MonarchLake-7B ## Description This repo contains GGUF format model files for MonarchLake-7B. ## Files Provided | Name | Quant | Bits | File Size | Remark | | --------------------------- | ------- | ---- | --------- | -------------------------------- | | monarchlake-7b.IQ3_XXS.gguf | IQ3_XXS | 3 | 3.02 GB | 3.06 bpw quantization | | monarchlake-7b.IQ3_S.gguf | IQ3_S | 3 | 3.18 GB | 3.44 bpw quantization | | monarchlake-7b.IQ3_M.gguf | IQ3_M | 3 | 3.28 GB | 3.66 bpw quantization mix | | monarchlake-7b.Q4_0.gguf | Q4_0 | 4 | 4.11 GB | 3.56G, +0.2166 ppl | | monarchlake-7b.IQ4_NL.gguf | IQ4_NL | 4 | 4.16 GB | 4.25 bpw non-linear quantization | | monarchlake-7b.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | 3.80G, +0.0532 ppl | | monarchlake-7b.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | 4.45G, +0.0122 ppl | | monarchlake-7b.Q6_K.gguf | Q6_K | 6 | 5.94 GB | 5.15G, +0.0008 ppl | | monarchlake-7b.Q8_0.gguf | Q8_0 | 8 | 7.70 GB | 6.70G, +0.0004 ppl | ## Parameters | path | type | architecture | rope_theta | sliding_win | max_pos_embed | | -------------------------- | ------- | ------------------ | ---------- | ----------- | ------------- | | macadeliccc/MonarchLake-7B | mistral | MistralForCausalLM | 10000.0 | 4096 | 32768 | ## Benchmarks ![](https://i.ibb.co/7Vyyhnm/Monarch-Lake-7-B.png) ![](https://i.ibb.co/Ybvs1r9/Monarch-Lake-7-B-Top-ARC.png) # Original Model Card # MonarchLake-7B ![image/webp](https://cdn-uploads.huggingface.co/production/uploads/6455cc8d679315e4ef16fbec/YQRHQR58ZbEywnqcysHX2.webp) This model equips AlphaMonarch-7B with a strong base of emotional intelligence. ### Merge Method This model was merged using the SLERP merge method. ### Models Merged The following models were included in the merge: * [macadeliccc/WestLake-7b-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7b-v2-laser-truthy-dpo) * [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: mlabonne/AlphaMonarch-7B layer_range: [0, 32] - model: macadeliccc/WestLake-7b-v2-laser-truthy-dpo layer_range: [0, 32] merge_method: slerp base_model: mlabonne/AlphaMonarch-7B parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 dtype: bfloat16 ```