QuantFactory/SAINEMO-reMIX-GGUF
This is quantized version of Moraliane/SAINEMO-reMIX created using llama.cpp
Original Model Card
SAINEMO-reMIX
GGUF: thx team mradermacher
https://huggingface.co/mradermacher/SAINEMO-reMIX-GGUF
GGUF imatrix
https://huggingface.co/mradermacher/SAINEMO-reMIX-i1-GGUF
learderboard
Presets
The given presets are quite suitable for this model. https://huggingface.co/MarinaraSpaghetti/SillyTavern-Settings/tree/main/Customized/Mistral%20Improved
Sampler
Temp - 0,7 - 1,2 ~
TopA - 0,1
DRY - 0,8 1,75 2 0
I recommend trying the stock presets from SillyTavern, such as simple-1.
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della_linear merge method using E:\Programs\TextGen\text-generation-webui\models\IlyaGusev_saiga_nemo_12b as a base.
Models Merged
The following models were included in the merge:
- E:\Programs\TextGen\text-generation-webui\models\elinas_Chronos-Gold-12B-1.0
- E:\Programs\TextGen\text-generation-webui\models\Vikhrmodels_Vikhr-Nemo-12B-Instruct-R-21-09-24
- E:\Programs\TextGen\text-generation-webui\models\MarinaraSpaghetti_NemoMix-Unleashed-12B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: E:\Programs\TextGen\text-generation-webui\models\IlyaGusev_saiga_nemo_12b
parameters:
weight: 0.55 # Основной акцент на русском языке
density: 0.4
- model: E:\Programs\TextGen\text-generation-webui\models\MarinaraSpaghetti_NemoMix-Unleashed-12B
parameters:
weight: 0.2 # РП модель, чуть меньший вес из-за ориентации на английский
density: 0.4
- model: E:\Programs\TextGen\text-generation-webui\models\elinas_Chronos-Gold-12B-1.0
parameters:
weight: 0.15 # Вторая РП модель
density: 0.4
- model: E:\Programs\TextGen\text-generation-webui\models\Vikhrmodels_Vikhr-Nemo-12B-Instruct-R-21-09-24
parameters:
weight: 0.25 # Русскоязычная поддержка и баланс
density: 0.4
merge_method: della_linear
base_model: E:\Programs\TextGen\text-generation-webui\models\IlyaGusev_saiga_nemo_12b
parameters:
epsilon: 0.05
lambda: 1
dtype: float16
tokenizer_source: base
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