huihui-ai/QwQ-32B-Coder-Fusion-8020
Overview
QwQ-32B-Coder-Fusion-8020
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 8:2 ratio, with 80% of the weights from QwQ-32B-Preview-abliterated and 20% 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.
Model Details
- Base Models:
- Model Size: 32B parameters
- Architecture: Qwen 2.5
- Mixing Ratio: 8:2 (QwQ-32B-Preview-abliterated:Qwen2.5-Coder-32B-Instruct-abliterated)
ollama
You can use huihui_ai/qwq-fusion:32b-8020 directly,
ollama run huihui_ai/qwq-fusion:32b-8020
Other proportions can be obtained by visiting huihui_ai/qwq-fusion.
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Apel-sin/qwq-32b-coder-fusion-8020-exl2
Base model
Qwen/Qwen2.5-32B
Finetuned
Qwen/Qwen2.5-32B-Instruct
Finetuned
Qwen/QwQ-32B-Preview
Finetuned
huihui-ai/QwQ-32B-Preview-abliterated
Finetuned
huihui-ai/QwQ-32B-Coder-Fusion-8020