license: apache-2.0
license_link: https://huggingface.co./huihui-ai/QwQ-32B-Coder-Fusion-9010/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model:
- huihui-ai/QwQ-32B-Preview-abliterated
- huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated
tags:
- chat
- abliterated
- uncensored
library_name: transformers
huihui-ai/QwQ-32B-Coder-Fusion-9010
Overview
QwQ-32B-Coder-Fusion-9010 is a mixed model that combines the strengths of two powerful Qwen-based models: huihui-ai/QwQ-32B-Preview-abliterated and
huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated.
The weights are blended in a 9:1 ratio, with 90% of the weights from the abliterated QwQ-32B-Preview-abliterated and 10% from the abliterated Qwen2.5-Coder-32B-Instruct-abliterated model.
Although it's a simple mix, the model is usable, and no gibberish has appeared.
This is an experiment. I test the 9:1,
8:2,
and 7:3 ratios separately to see how much impact they have on the model.
Now the effective ratios are 9:1, 8:2, and 7:3. Any other ratios (6:4,5:5) would result in mixed or unclear expressions.
Please refer to the mixed source code.
Model Details
- Base Models:
- Model Size: 32B parameters
- Architecture: Qwen 2.5
- Mixing Ratio: 9:1 (QwQ-32B-Preview-abliterated:Qwen2.5-Coder-32B-Instruct-abliterated)
ollama
You can use huihui_ai/qwq-fusion directly,
ollama run huihui_ai/qwq-fusion
Other proportions can be obtained by visiting huihui_ai/qwq-fusion.