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Hugging Face
AI Model·2026
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DeepSeek-V4.1-Flash-1017 · GSQ-RCO Coder

Deep Algorithms and Systems Lab (DASLab), Institute of Science and Technology Austria

Compresses the model by pruning half its experts and quantizing the retained weights, targeting code, agentic workflows, long context, and vision. It retains 94.8%–98.7% of the base model’s scores on two coding benchmarks, at the cost of broader capabilities.

#deepseek#quantization#pruning#moe#gguf+7
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