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AI Model2026
Bonsai 2 27B — GGUF
A 27B-class language model packaged in GGUF with end-to-end ternary weights for on-device or single-GPU llama.cpp inference; reduces FP16 footprint to ~5.9–7.2 GB while retaining ~98% of baseline performance and supporting up to 262K tokens.
Introduction
Information
- Websitehuggingface.co
- OrganizationsPrism ML
- Published date2026/09/16
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AI Model2026
Generates text conditioned on multimodal inputs (text, image, audio, video) with a 1M-token context window; an open-weights mixture-of-experts model aimed at long-horizon coding and agentic workflows, with NVFP4 checkpoints to reduce memory footprint.
AI Model2026
Quantized multimodal vision-language model for reasoning, coding, tool use, document and video understanding; 120B total (12B active) with NVFP4 quantization, native Multi-Token Prediction for speculative decoding, and up to 1M-token context — designed for deployment on NVIDIA GPU stacks.
AI Model2026
Text-only sparse Mixture-of-Experts language model for long-context reasoning, coding, and agentic tool use; 501B total / ~23B active parameters, 1M-token context, and BF16/FP8/NVFP4 checkpoints released under Apache 2.0.