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Gogeta70/Qwen_3.6_27B_Opus
Qwen_3.6_27B_Opus is a machine learning model from Gogeta70. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a finetune of the Qwen 3.6 27B base model on the angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k dataset using unsloth studio.
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From the Hugging Face model README
This is a finetune of the Qwen 3.6 27B base model on the angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k dataset using unsloth studio.
I haven't run any benchmarks, but a cursory test of the model seems to demonstrate a significant improvement in the model's output. Specifically, it appears to need much less reasoning before coming to a conclusion and providing a response.
I have provided a Q6_K quantized version of the model alongside a BF16 GGUF that can be fed into llama-quantize to create other quantizations as desired.
Below are two images demonstrating the output of both the Qwen 3.6 27B base model and this finetuned model for the same question. Both outputs were generated with a Q6_K quantization of each model on the same GPU.
Qwen 3.6 27B base model:

Qwen 3.6 27B Opus finetuned model:
