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---
base_model:
- TeeZee/Kyllene-34B-v1.1
- Doctor-Shotgun/Nous-Capybara-limarpv3-34B
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
---
# Kyllima 34B v1
## Model Details
This is a simple 50/50 merge of two of my favorite Yi 34B-based models for roleplay and creative writing, created using [mergekit](https://github.com/cg123/mergekit) on [Arcee.ai](https://app.arcee.ai/).
200k context. Uncensored.
Use with the metadata prompt format, Alpaca-LimaRP, or Vicuna.
Recommended settings: 0.8-1 temp, 1.1-1.2 rep pen, 1 top P, 0.05 min P, 40 top K.
Add \</s> and \[INST] to stop strings.
The original upload had a broken tokenizer. If you downloaded before 10/2/24, please re-download.
Static GGUF available [here](https://huggingface.co/sirmyrrh/Kyllima-34B-v1-GGUF) or [here](https://huggingface.co/mradermacher/Kyllima-34B-v1-GGUF).
Imatrix GGUF available [here](https://huggingface.co/mradermacher/Kyllima-34B-v1-i1-GGUF). With thanks to [mradermacher](https://huggingface.co/mradermacher/).
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [TeeZee/Kyllene-34B-v1.1](https://huggingface.co/TeeZee/Kyllene-34B-v1.1) as a base.
### Models Merged
The following models were included in the merge:
* [TeeZee/Kyllene-34B-v1.1](https://huggingface.co/TeeZee/Kyllene-34B-v1.1)
* [Doctor-Shotgun/Nous-Capybara-limarpv3-34B](https://huggingface.co/Doctor-Shotgun/Nous-Capybara-limarpv3-34B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: TeeZee/Kyllene-34B-v1.1
chat_template: auto
dtype: float16
merge_method: ties
models:
- model: TeeZee/Kyllene-34B-v1.1
parameters:
density: 0.5
weight: 0.5
- model: Doctor-Shotgun/Nous-Capybara-limarpv3-34B
parameters:
density: 0.5
weight: 0.5
parameters:
embed_slerp: true
int8_mask: true
normalize: false
tokenizer_source: base
``` |