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---
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
# Original Model Card
<img src="pastiche-crown-clown.png" alt="Pastiche crown clown logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# 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
``` |