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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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# Pastiche-Crown-Clown-7B-dare
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## Description
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This repo contains GGUF format model files for Pastiche-Crown-Clown-7B-dare.
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## Files Provided
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| Name | Quant | Bits | File Size | Remark |
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| ----------------------------------------- | ------- | ---- | --------- | -------------------------------- |
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| pastiche-crown-clown-7b-dare.IQ3_XXS.gguf | IQ3_XXS | 3 | 3.02 GB | 3.06 bpw quantization |
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| pastiche-crown-clown-7b-dare.IQ3_S.gguf | IQ3_S | 3 | 3.18 GB | 3.44 bpw quantization |
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| pastiche-crown-clown-7b-dare.IQ3_M.gguf | IQ3_M | 3 | 3.28 GB | 3.66 bpw quantization mix |
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| pastiche-crown-clown-7b-dare.Q4_0.gguf | Q4_0 | 4 | 4.11 GB | 3.56G, +0.2166 ppl |
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| pastiche-crown-clown-7b-dare.IQ4_NL.gguf | IQ4_NL | 4 | 4.16 GB | 4.25 bpw non-linear quantization |
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| pastiche-crown-clown-7b-dare.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | 3.80G, +0.0532 ppl |
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| pastiche-crown-clown-7b-dare.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | 4.45G, +0.0122 ppl |
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| pastiche-crown-clown-7b-dare.Q6_K.gguf | Q6_K | 6 | 5.94 GB | 5.15G, +0.0008 ppl |
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| pastiche-crown-clown-7b-dare.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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| CorticalStack/pastiche-crown-clown-7b-dare | mistral | MistralForCausalLM | 10000.0 | 4096 | 32768 |
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## Benchmarks
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![](https://i.ibb.co/Srwfpj3/pastiche-crown-clown-7b-dare.png)
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# Original Model Card
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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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- bardsai/jaskier-7b-dpo-v5.6
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- mlabonne/AlphaMonarch-7B
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- mlabonne/NeuralMonarch-7B
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- macadeliccc/MBX-7B-v3-DPO
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---
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<img src="pastiche-crown-clown.png" alt="Pastiche crown clown logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# pastiche-crown-clown-7B-dare
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pastiche-crown-clown-7B-dare is a DARE merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)
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* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
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* [mlabonne/NeuralMonarch-7B](https://huggingface.co/mlabonne/NeuralMonarch-7B)
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* [macadeliccc/MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO)
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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.
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## 🧩 Configuration
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```yaml
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models:
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- model: bardsai/jaskier-7b-dpo-v5.6
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- model: mlabonne/AlphaMonarch-7B
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parameters:
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density: 0.53
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weight: 0.2
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- model: mlabonne/NeuralMonarch-7B
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parameters:
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density: 0.53
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weight: 0.4
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- model: macadeliccc/MBX-7B-v3-DPO
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parameters:
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density: 0.53
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weight: 0.4
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merge_method: dare_ties
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base_model: bardsai/jaskier-7b-dpo-v5.6
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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