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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
Hugging Face
AI Model·2026
Icon for item

Ripple-65B Preview

Ricursive Intelligence

A 65B dense language model trained on 12T text and code tokens for reasoning and agentic coding, with context support up to 1M tokens. Its Terminal-Bench 2.1 result stands out, though benchmark scores depend on evaluation setup.

#foundation-model#LLM#reasoning#ai-coding#coding-agents+3
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