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AI Model2026
Ternary Bonsai 2 27B (Bonsai 2 27B)
Compresses a 27B-class multimodal model into end-to-end ternary weights to run 27B reasoning on-device: 5.9–8.6 GB deployed footprint, 262K-token context, ~98.2% of FP16 benchmark performance; ships MLX and GGUF packs and runs on Apple MLX and CUDA.
Introduction
Information
- Websitehuggingface.co
- OrganizationsPrism ML
- Published date2026/09/16
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AI Model2026
Turns Qwen3.5 into a 3-way NLI cross-encoder (entailment/contradiction/neutral) for zero-shot reranking, grading, content guarding, or action selection. Provides a pretrained Qwen3.5-4B checkpoint, helper utilities (OpenJevCrossEncoder, LatentMLPHead), and optional 35B MoE latent heads for per-task scoring.
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Preview agentic language model for research and engineering workflows that turns research questions into executable, verifiable workflows via tool use and long-context reasoning; built on a 744B-parameter MoE (GLM-5.2) with MIT-licensed BF16 and FP8 checkpoints.
AI Model2026
Fast, non-autoregressive decision engine that answers typed questions (choice/score/noul) over text or JSON states with calibrated probabilities and confidences in a single forward pass. Suited for routing, triage and moderation workflows; includes a Router to pick checkpoints per request.