Instructions to use Apel-sin/qwq-32b-instruct-abliterated-exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apel-sin/qwq-32b-instruct-abliterated-exl2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Apel-sin/qwq-32b-instruct-abliterated-exl2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This model is created to fix the instruction-following flaws presented in the QwQ model.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: huihui-ai/QwQ-32B-Preview-abliterated
- model: huihui-ai/Qwen2.5-32B-Instruct-abliterated
merge_method: slerp
base_model: huihui-ai/QwQ-32B-Preview-abliterated
parameters:
t: [0.1, 0.2, 0.3, 0.3, 0.2]
dtype: bfloat16
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Model tree for Apel-sin/qwq-32b-instruct-abliterated-exl2
Base model
zypcastles/QwQ-32B-Instruct-abliterated