File size: 5,762 Bytes

---
base_model:
- FallenMerick/Chunky-Lemon-Cookie-11B
- Sao10K/Fimbulvetr-11B-v2.1-16K
- senseable/WestLake-7B-v2
base_model_relation: merge
library_name: transformers
tags:
- mergekit
- merge
- roleplay
- text-generation-inference
license: cc-by-4.0
---

![cute](https://huggingface.co/matchaaaaa/Honey-Yuzu-13B/resolve/main/honey-yuzu-cute.png)

**Thank you [@Brooketh](https://huggingface.co/brooketh) for the [GGUFs](https://huggingface.co/backyardai/Honey-Yuzu-13B-GGUF)!!**

# Honey-Yuzu-13B

Meet Honey-Yuzu, a sweet lemony tea brewed by yours truly! A bit of [Chunky-Lemon-Cookie-11B](https://huggingface.co/FallenMerick/Chunky-Lemon-Cookie-11B) here for its great flavor, with a dash of [WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) there to add some depth. I'm really proud of how it turned out, and I hope you like it too!

It's not as verbose as Chaifighter, but it still writes very well. It boasts fantastic coherence and character understanding (in my opinion) for a 13B, and it's been my daily driver for a little bit. It's a solid RP model that should generally play nice with just about anything.

**Native Context Length: 8K/8192** *(can be extended using RoPE, possibly past 16K)*

## Prompt Template: Alpaca

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:
```

## Recommended Settings: Universal-Light

Here are some settings ranges that tend to work for me. They aren't strict values, and there's a bit of leeway in them. Feel free to experiment a bit!

* Temperature:        **1.0** to **1.25**
* Min-P:              **0.05** to **0.1**
* Repetition Penalty: **1.05** *to* **1.1** (high values aren't needed and usually degrade output)
* Rep. Penalty Range: **256** *or* **512**
* *(all other samplers disabled)*

## The Deets

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [Chunky-Lemon-Cookie-11B](https://huggingface.co/FallenMerick/Chunky-Lemon-Cookie-11B)
  * [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)
  * [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B)
  * [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3)
  * [Fimbulvetr-11B-v2.1-16K](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2.1-16K)
  * [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)

### The Special Sauce

The following YAML configuration was used to produce this model:

```yaml
slices: # this is a quick float32 restack of BLC using the OG recipe
  - sources:
    - model: SanjiWatsuki/Kunoichi-7B
      layer_range: [0, 24]
  - sources:
    - model: SanjiWatsuki/Silicon-Maid-7B
      layer_range: [8, 24]
  - sources:
    - model: KatyTheCutie/LemonadeRP-4.5.3
      layer_range: [24, 32]
merge_method: passthrough
dtype: float32
name: Big-Lemon-Cookie-11B
---
models: # this is a remake of CLC with the newer Fimbul v2.1 version
  - model: Big-Lemon-Cookie-11B
    parameters:
      weight: 0.85
  - model: Sao10K/Fimbulvetr-11B-v2.1-16K
    parameters:
      weight: 0.15
merge_method: linear
dtype: float32
name: Chunky-Lemon-Cookie-11B
---
slices: # 8 layers of WL for the splice
  - sources:
    - model: senseable/WestLake-7B-v2
      layer_range: [8, 16]
merge_method: passthrough
dtype: float32
name: WL-splice
---
slices: # 8 layers of CLC for the splice
  - sources:
    - model: Chunky-Lemon-Cookie-11B
      layer_range: [8, 16]
merge_method: passthrough
dtype: float32
name: CLC-splice
---
models: # this is the splice, a gradient merge meant to gradually and smoothly interpolate between stacks of different models
  - model: WL-splice
    parameters:
      weight: [1, 1, 0.75, 0.625, 0.5, 0.375, 0.25, 0, 0] # 0.125 / 0.875 values removed here - "math gets screwy" 
  - model: CLC-splice
    parameters:
      weight: [0, 0, 0.25, 0.375, 0.5, 0.625, 0.75, 1, 1] # 0.125 / 0.875 values removed here - "math gets screwy" 
merge_method: dare_linear # according to some paper, "DARE is all you need"
base_model: WL-splice
dtype: float32
name: splice
---
slices: # putting it all together
  - sources:
    - model: senseable/WestLake-7B-v2
      layer_range: [0, 16]
  - sources: 
    - model: splice
      layer_range: [0, 8]
  - sources:
    - model: Chunky-Lemon-Cookie-11B
      layer_range: [16, 48]
merge_method: passthrough
dtype: float32
name: Honey-Yuzu-13B
```

### The Thought Process

This was meant to be a simple RP-focused merge. I chose 2 well-performing RP models - [Chunky-Lemon-Cookie-11B](https://huggingface.co/FallenMerick/Chunky-Lemon-Cookie-11B) by [FallenMerick](https://huggingface.co/FallenMerick) and [WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) by [senseable](https://huggingface.co/senseable) - and merge them using a more conventional configuration (okay, okay, a 56 layer 12.5B Mistral isn't that conventional but still) rather than trying something wild or crazy and pushing the limits. I was very pleased with the results, but I wanted to see what would happen if I remade CLC with [Fimbulvetr-11B-v2.1-16K](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2.1-16K) by [Sao10K](https://huggingface.co/Sao10K). This resulted in equally nice (if not slightly better) outputs but greatly improved native context length.



Have feedback? Comments? Questions? Don't hesitate to let me know! As always, have a wonderful day, and please be nice to yourself! :)