GigaChat-3.5-Reasoning
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| | Hey y'all! We've released a new model in our lineup: GigaChat-3.5 Reasoning. It's a 432B-A28B MoE with Gated DeltaNet for long-context efficiency. We trained domain experts (code, math, general, etc.) with CISPO and then distilled them into a single model via on-policy distillation. In our evals the resulting model lands close to DeepSeek V4 Flash Preview while using 37% fewer tokens in its reasoning traces. Weights are on Hugging Face under MIT: https://huggingface.co/collections/ai-sage/gigachat-35-reasoning. You can also try it at giga.chat — pick the reasoning tab (rightmost one). [link] [comments] |
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