--- license: apache-2.0 tags: - merge - mergekit - bardsai/jaskier-7b-dpo-v5.6 - mlabonne/AlphaMonarch-7B - mlabonne/NeuralMonarch-7B - macadeliccc/MBX-7B-v3-DPO --- # Pastiche-Crown-Clown-7B-dare ## Description This repo contains GGUF format model files for Pastiche-Crown-Clown-7B-dare. ## Files Provided | Name | Quant | Bits | File Size | Remark | | ----------------------------------------- | ------- | ---- | --------- | -------------------------------- | | pastiche-crown-clown-7b-dare.IQ3_XXS.gguf | IQ3_XXS | 3 | 3.02 GB | 3.06 bpw quantization | | pastiche-crown-clown-7b-dare.IQ3_S.gguf | IQ3_S | 3 | 3.18 GB | 3.44 bpw quantization | | pastiche-crown-clown-7b-dare.IQ3_M.gguf | IQ3_M | 3 | 3.28 GB | 3.66 bpw quantization mix | | pastiche-crown-clown-7b-dare.Q4_0.gguf | Q4_0 | 4 | 4.11 GB | 3.56G, +0.2166 ppl | | pastiche-crown-clown-7b-dare.IQ4_NL.gguf | IQ4_NL | 4 | 4.16 GB | 4.25 bpw non-linear quantization | | pastiche-crown-clown-7b-dare.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | 3.80G, +0.0532 ppl | | pastiche-crown-clown-7b-dare.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | 4.45G, +0.0122 ppl | | pastiche-crown-clown-7b-dare.Q6_K.gguf | Q6_K | 6 | 5.94 GB | 5.15G, +0.0008 ppl | | pastiche-crown-clown-7b-dare.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 | | ------------------------------------------ | ------- | ------------------ | ---------- | ----------- | ------------- | | CorticalStack/pastiche-crown-clown-7b-dare | mistral | MistralForCausalLM | 10000.0 | 4096 | 32768 | ## Benchmarks ![](https://i.ibb.co/Srwfpj3/pastiche-crown-clown-7b-dare.png) # Original Model Card Pastiche crown clown logo # pastiche-crown-clown-7B-dare pastiche-crown-clown-7B-dare is a DARE merge of the following models using [mergekit](https://github.com/cg123/mergekit): * [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6) * [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) * [mlabonne/NeuralMonarch-7B](https://huggingface.co/mlabonne/NeuralMonarch-7B) * [macadeliccc/MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO) See the paper [Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch](https://arxiv.org/abs/2311.03099) for more on the method. ## 🧩 Configuration ```yaml models: - model: bardsai/jaskier-7b-dpo-v5.6 - model: mlabonne/AlphaMonarch-7B parameters: density: 0.53 weight: 0.2 - model: mlabonne/NeuralMonarch-7B parameters: density: 0.53 weight: 0.4 - model: macadeliccc/MBX-7B-v3-DPO parameters: density: 0.53 weight: 0.4 merge_method: dare_ties base_model: bardsai/jaskier-7b-dpo-v5.6 parameters: int8_mask: true dtype: bfloat16 ```