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#AI_Models
🔥 GigaChat 3.5 Reasoning [Open-Source]
ℹ️ Overview:
New LLM that thinks before it answers. Breaks problems into stages, builds plans, checks results, and self-corrects using automated verification.
🔗 Source:
Hugging Face fp8 | bf16
📝 Model Specs:
✪ Built on GigaChat 3.5 Ultra with multiple step-by-step reasoning paths
✪ Proprietary linear attention for efficient long contexts
✪ Token-efficient: 37% fewer tokens than DeepSeek V4 Flash Preview
✪ Benchmarks: IFBench 44→77, Natural Plan 64→80, LiveCodeBench v6 56→85
✪ MIT License
#AI_Models
🔥 GigaChat 3.5 Reasoning [Open-Source]
ℹ️ Overview:
New LLM that thinks before it answers. Breaks problems into stages, builds plans, checks results, and self-corrects using automated verification.
🔗 Source:
Hugging Face fp8 | bf16
📝 Model Specs:
✪ Built on GigaChat 3.5 Ultra with multiple step-by-step reasoning paths
✪ Proprietary linear attention for efficient long contexts
✪ Token-efficient: 37% fewer tokens than DeepSeek V4 Flash Preview
✪ Benchmarks: IFBench 44→77, Natural Plan 64→80, LiveCodeBench v6 56→85
✪ MIT License
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